Kyushu University Academic Staff Educational and Research Activities Database
List of Presentations
NGUYEN DINH HOA Last modified date:2024.06.03

Associate Professor / International Institute for Carbon-Neutral Energy Research (WPI-I2CNER), and Institute of Mathematics for Industry (IMI) / Multiscale Science and Engineering for Energy and the Environment Thrust / International Institute for Carbon-Neutral Energy Research


Presentations
1. Dinh Hoa Nguyen, Characterizing OWPT Efficiency of An LED Row Transmitter Under Misalignments With The Receiver, The 6th Optical Wireless and Fiber Power Transmission Conference (OWPT2024), 2024.03, [URL], This paper introduces an analysis for the monotonic dependence of the OWPT efficiency in the air on the distance between the transmitter and receiver planes, where the transmitter is a row of LEDs and the receiver is relatively aligned to the LED row center. A critical value of such inter-plane distance is derived such that beyond which the OWPT efficiency is monotonically decreasing. This is shown to be quite accurate compared to numerical simulation results.
2. Dinh Hoa Nguyen, Performance Bound for Iterative Learning Control of Iteration-Varying Battery SoC Profiles Under Iteration-Invariant Learning Gains, SICE International Symposium on Control Systems 2024, 2024.03.
3. Dinh Hoa Nguyen, An Iterative Learning Control Method for Non-Repetitive Electric Vehicle Battery Discharging, 2023 IEEE Transportation Electrification Conference and Expo Asia-Pacific (2023 IEEE ITEC- AP), 2023.11, In this paper, an iterative learning control (ILC) problem of electric vehicle (EV) battery state-of-charge (SoC) profile is exploited, because of the identical driving routes daily. Due to the variations on departure and return times as well as traffic conditions, the daily SoC profile is not the same, but could be slightly different from one working day to the other. This paper, therefore, proposes a novel ILC algorithm to deal with such daily-varying characteristic of battery SoC profiles, namely a quadratic ILC (Q-ILC) law with an iteration-varying weighting matrix for the control input update. It is then proved that the proposed ILC law is rapidly converged after just one iteration, under suitable selections of the Q-ILC weighting matrices. Numerical simulations are carried out, whose results validate the superior performance of the proposed ILC algorithm.
As such, the proposed ILC scheme has the great potential for rapidly achieving a desired, predicted SoC profile of the EV battery in the next day, and hence, would help save the EV energy consumption. .
4. Dinh Hoa Nguyen, Enhancing Building Energy Efficiency Through Its Windows, 2023 10th International Conference on Power and Energy Systems Engineering (CPESE 2023), 2023.09, This paper investigates the problem of enhancing the energy efficiency of buildings which eventually contributes to the carbon neutrality and sustainability. To achieve that, two strategies are proposed based on the exploitation of the functioning of building windows for thermal losses prevention and renewable power generation. More specifically, the first strategy proposes an integrated control scheme for lighting and heating, ventilation, and air conditioning (HVAC) systems under controllable blinds or curtains. Numerical simulations and calculations are then carried out to show the effectiveness of this strategy. Next, in the second strategy, it is proposed to employ the so-called solar windows to obtain clean power generation via solar cells attached to building windows. A realistic experiment is performed for an office building, which reveals the viability of such solar power generation strategy. .
5. Dinh Hoa Nguyen, Laser-Based Dynamic Optical Wireless Power Transfer for Electrified Vehicles Covered with Solar Cells, IFAC World Congress 2023, 2023.07, [URL].
6. Dinh Hoa Nguyen, Optical Wireless Power Transfer Through Water, The 5th Optical Wireless and Fiber Power Transmission Conference (OWPT2023), 2023.04, This paper presents a study on optical wireless power transfer (OWPT) through water environments utilizing a red laser transmitter, a solar cell receiver, and a clear plastic box as the water container. Distinct scenarios are considered, including both transmitter and receiver are inside of the water container, and one is outside whereas the other is inside. The obtained results show differences on the OWPT performance between those scenarios, hence revealing meaningful insights for conducting underwater OWPT..
7. Dinh Hoa Nguyen, Optical Wireless Power Transfer for Clothing-Covered Wearables, 2022 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS 2022), 2022.11, [URL], This paper presents a preliminary study on the use of optical wireless power transfer (OWPT) for supplying power without wires to wearables even when they are covered. System description is first given, then theoretical backgrounds on OWPT systems with covered optical receivers are introduced. Next, experimental results on simple tests for an OWPT are provided, in which the optical transmitter is an LED and the optical receiver is a silicon solar cell. The solar cell is covered by two different materials namely a cotton shirt sleeve and a double-layer paper napkin in order to compare the OWPT performance. It is then shown from experimental results that the transparency, i.e. the optical transmittance, of the paper napkin is much better than that of the cotton shirt sleeve. Lastly, additional experiments are carried out for different numbers of paper napkin layers that evaluate the theoretical optical transmittance formula. It then turns out that the Beer-Lambert law is invalid to capture the efficiency of OWPT in the considering context. The obtained results also give hints for choosing suitable clothing materials and for system design in order to have a high performance OWPT system for clothing-covered wearables..
8. Dinh Hoa Nguyen, Optical Wireless Power Transfer Toward Applications in Implanted and Wearable Devices, 33rd International Photovoltaic Science and Engineering Conference (PVSEC-33), 2022.11, Implanted and wearable devices, e.g. biosensors, implanted cardiac pacemakers, etc., are very important for health monitoring and medical therapy. Traditionally, batteries are embedded inside bodies together with implanted devices to keep them operated. Nevertheless, such batteries must be replaced after a few years, hence requiring expensive surgeries and bring discomfort to users [1]. For wearable devices, wired energy supply is inconvenient and does not fully support system mobility. Thus, much attention has been paid on employing wireless power transfer (WPT) for implanted and wearable devices so that less or even no batteries and wires are needed. Among distinct WPT technologies, optical WPT (OWPT) is a promising candidate owing to several advantages it offers at the small scales of implanted and wearable devices, including higher efficiency, more stable output, lighter weight, etc. [2]–[4]. Additionally, OWPT can be combined with optical communication to wirelessly send out useful biomedical information, see e.g. [5].

This work investigates the possibility of OWPT for implanted and wearable devices, in which solar cells are put on skin. Power can then be supplied to implanted devices by different methods such as using microneedles or skin electrodes. This brings several advantages, one of which is the potential for simplifying system installation and maintenance. Experimental systems are depicted in Figure 1 under the scenarios of free-space and under-clothes OWPT. A commercial solar cell with dimensions of 25mm × 25mm × 3mm was used. A small LED is employed as a visual indicator which is on if OWPT is successful, and vice versa, is off if OWPT is unsuccessful. A 100V 7.1W white LED (Panasonic Corp.) producing visible light is used as the light source. Rechargeable batteries or capacitors can be added, but are temporarily removed for direct powering of the indicating LED..
9. A. Singh, L. P. M. I. Sampath, Dinh Hoa Nguyen, H. B. Gooi, Hung D. Nguyen, A Multi-Agent Approach for P2P Energy Trading with EV Battery Thermal Profile Management, 19th IEEE Vehicle Power and Propulsion Conference (VPPC), 2022.11, This paper explores the possibility of implementing distributed optimization through peer-to-peer energy (P2P) trading platform while keeping the temperature of batteries in electric vehicles below the safe threshold. While most thermal management schemes consider a battery as a point to simplify the computation, this work proposes to model and regulate the battery’s temperature profile over its cells. This more granular
access to the battery’s temperature allows for more effective management as the temperature distribution over cells is not homogeneous. As a result, a linear discrete-time model is derived for the cell-level temperature vector and incorporated into the P2P energy trading platform. A multi-period P2P policy is developed to maximize the EV’s owner benefits while preventing battery cells’ temperature from rising too high. Numerical results with a set of 15 agents which are a part of IEEE 33-bus radial distribution test feeder are presented to demonstrate the performance of the proposed algorithm on P2P trading and battery temperatures..
10. Dinh Hoa Nguyen, Hung D. Nguyen, Distributed PI Control Design for Ground-Aerial Cooperative Vehicle Tracking, 19th IEEE Vehicle Power and Propulsion Conference (VPPC), 2022.11, Inspired by the wolf-raven cooperative hunting in nature, this paper studies a problem of ground-aerial vehicle cooperation for tracking a moving ground object. In the considered problem, a group of ground vehicles is guided by an aerial vehicle to finally trace and catch the moving ground object. To achieve that, a distributed PI controller design is proposed and proved to be effective against a certain class of disturbances in the inter- vehicle and vehicle-object sensing. Simulations are carried out to demonstrate the effectiveness of the proposed control design..
11. Dinh Hoa Nguyen, Mutuality between AI and Optimization, Forum Math for Industry (FMfI) 2021, 2021.12, [URL], AI and optimization are often considered from different perspectives by different research communities. However, it is undeniable that they are closely related to each other, where optimization is a core part of many machine learning algorithms, while AI can be employed to support optimization schemes. This talk presents examples of such mutuality with illustrations in energy systems. Moreover, directions for future research are also introduced..
12. Nguyen Dinh Hoa, Wireless power transfer and renewables for energy mobility, flexibility, and sustainability, 2022 I2CNER-IMI Joint International Workshop on Applied Math for Energy, 2022.01.
13. Nguyen Dinh Hoa, Bidirectional Optical Wireless Power Transfer via Optical Transceiver, The 4th Optical Wireless and Fiber Power Transmission Conference (OWPT2022) , part of the Optics and Photonics International Congress 2022 (OPIC2022), 2022.04, [URL], This article aims at introducing a brief overview on the recently proposed concept of bidirectional optical wireless power transfer. Potential advantages of this concept are highlighted, while its challenges are also described. It is then observed that those challenges are due to the characteristics of perovskite solar cells and the lack of theoretical results on the modeling of optical links. To cope with such challenges, outlooks on future research directions are provided..
14. Nguyen Dinh Hoa, Wolf-Raven Cooperative Hunting: A Multi-Agent Model, 5th International Symposium on Swarm Behavior and Bio-Inspired Robotics, part of AROB-ISBC-SWARM 2022, 2022.01, [URL].
15. Dinh Hoa Nguyen, Decentralized Trading and Learning Mechanisms for P2P Energy Systems, AIMaP Workshop on Technologies Related to Regional Microgrids, 2021.03.
16. Thiem V. Pham, Thinh T. Doan, Dinh Hoa Nguyen, Distributed two-time-scale methods over clustered networks, American Control Conference, 2021.05.
17. Dinh Hoa Nguyen, Distributed PI Formation Control Design for Autonomous Vehicles Using Edge Dynamics, IFAC, 2020.07, [URL].
18. Dinh Hoa Nguyen, Optical Wireless Power Transfer for Moving Objects as A Life-Support Technology, 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), 2020.03, [URL].
19. Dinh Hoa Nguyen, Dynamic Formation Control Design based on Edge Dynamics for Peer-to-Peer Wireless Energy Trading of Vehicle Platoons, 2020 SICE International Symposium on Control Systems (SICE ISCS), 2020.03, [URL].
20. Thiem V. Pham, Nadhir Messai, Dinh Hoa Nguyen, and Noureddine Manamanni, Adaptive Output Consensus Design in Clustered Networks of Heterogeneous Linear Multi-Agent Systems, 2019 IEEE 58th Conference on Decision and Control (CDC), 2019.12, [URL].
21. Dinh Hoa Nguyen, Kei Hirose, A Machine Learning based Approach for Electricity Demand Prediction, 2019 International Joint Conference on AI & Data Science: Mathematics and Applications, 2019.11.
22. Dinh Hoa Nguyen, Edge Dynamics based Distributed Formation Controller Design for Unmanned Vehicle Groups, IEEE Vehicle Power and Propulsion Conference (IEEE-VPPC’2019), 2019.10, [URL].
23. Huynh Ngoc Tran, Dinh Hoa Nguyen, Michihiro Kawanishi, Tatsuo Narikiyo, Optimization method for microgrid operation with photovoltaic generation and EV charging using multi-agent system theory, IEEE Vehicle Power and Propulsion Conference (IEEE-VPPC’2019), 2019.10, [URL].
24. Andrew Chapman, Hadi Farabi-Asl, Dinh Hoa Nguyen, Kenshi Itaoka, Global Modelling of Hydrogen Penetration: FCVs and Infrastructure in a Carbon Constrained Future, IEEE Vehicle Power and Propulsion Conference (IEEE-VPPC’2019), 2019.12, [URL].
25. Tuynh Van Pham, Dinh Hoa Nguyen, David Banjerdpongchai, Robust Hierarchical Decentralized Control of Multi-Agent Systems with Parametric Uncertainty and Exogenous Disturbance, 12th Asian Control Conference, 2019.06.
26. Dinh Hoa Nguyen, Anh Tung Nguyen, A Machine Learning-based Approach for The Prediction of Electricity Consumption, 12th Asian Control Conference, 2019.06.
27. Dinh Hoa Nguyen, Control and Optimization for Power Grids with Distributed Battery Energy Storage Systems, IEEE Power and Energy Society Generation, Transmission, and Distribution Grand International Conference and Exposition Asia 2019 (IEEE PES GTD Asia 2019), 2019.03.
28. Dinh Hoa Nguyen, Javad Khazaei, Cooperative Control for Distributed Energy Storage Systems with Different Droop Schemes, IEEE Power and Energy Society Generation, Transmission, and Distribution Grand International Conference and Exposition Asia 2019 (IEEE PES GTD Asia 2019), 2019.03.
29. Javad Khazaei, Dinh Hoa Nguyen, Arash Asrari, Hossein Ali Mohammadpour, Small-signal Stability Evaluation of DFIG Wind Farms with On-site Battery Energy Storage, IEEE Power and Energy Society Generation, Transmission, and Distribution Grand International Conference and Exposition Asia 2019 (IEEE PES GTD Asia 2019), 2019.03.
30. Pham Van Tuynh, Dinh Hoa Nguyen, David Banjerdpongchai, A Sub-optimal Consensus Design of Heterogeneous Leader-Follower Multi-Agent Systems with Parametrically Multiplicative Uncertainty, 2019 SICE International Symposium on Control Systems, 2019.03.
31. Dinh Hoa Nguyen, Anh Tung Nguyen, An Approach for The Electricity Consumption Prediction based on Artificial Neural Network, 2019 SICE International Symposium on Control Systems, 2019.03.
32. Pham Van Tuynh, Dinh Hoa Nguyen, David Banjerdpongchai, Design of Hierarchical Decentralized Stabilizing Controllers for Homogeneous Multi-Agent Systems with Parametric Uncertainty and External Disturbance, 2018 9th International Conference on Science and Engineering, 2018.12.
33. Hoa Dinh Nguyen, Toshihisa Funabashi, Decentralized Control Design for User Comfort and Energy Saving in Multi-zone Buildings, CPESE 2018, 2018.09, [URL].
34. Duy Dinh Nguyen, Hoa Dinh Nguyen, Minh Cao Ta, Goro Fujita, Sensorless Feedforward Current Control of Dual-Active-Bridge DC/DC Converter for Microgrid Applications, International Federation of Automatic Control (IFAC), 2018.09, [URL].
35. Javad Khazaei, Hoa Dinh Nguyen, Multi-Agent Consensus Design for Heterogeneous Energy Storage Devices with Droop Control in Smart Grids, IEEE Power and Energy Systems, 2018.08, [URL].
36. Thinh T. Doan, Subhonmesh Bose, Hoa Dinh Nguyen, Carolyn L. Beck,, Convergence of the Iterates in Mirror Descent Methods, The 7th Midwest Workshop on Control and Game Theory, Michigan State University, East Lansing, MI, USA, 2018.05.
37. Javad Khazaei, Hoa Dinh Nguyen, Nguyen Gia Minh Thao, Primary and secondary voltage/frequency controller design for energy storage devices using consensus theory, 6th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2017, 2017.12, This paper investigates a distributed consensus control design for heterogeneous energy storage devices in smart grids. Using communications between energy storage devices in the system, primary and secondary voltage/frequency control are achieved. The primary voltage and frequency synchronization is achieved by equally sharing the active and reactive powers among energy storage devices. The secondary voltage and frequency restoration is achieved by selecting one energy storage as a virtual leader, and other energy storage devices will act as followers to follow the leader energy storage system. The uniqueness of the proposed consensus design is the use of nominal values of grid voltage and frequency instead of their measured values. The proposed design is validated using modified IEEE 14-bus system in MATLAB..
38. Hoa Dinh Nguyen, Huynh Ngoc Tran, Tatsuo Narikiyo, Michihiro Kawanishi, A Lyapunov approach for transient stability analysis of droop inverter-based mesh microgrids using line-based model, 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017, 2017.10, This paper proposes a systematic approach to derive analytical and explicit certificates for transient stability analysis of inverter-based microgrids. We first derive a line-based model of microgrids with general mesh structure. Then by employing Lyapunov stability theory with a quadratic Lyapunov function, the region of attraction of any post-fault stable equilibrium point (EP) is estimated by a large domain which contains the well-known principle region inside, if a low-dimension convex LMI problem is feasible. Accordingly, it provides a very efficient and robust transient stability certificate which can be calculated off-line, easily, and very fast. Moreover, it can be applied to microgrids with any structure. Finally, numerous tests on a microgrid are then given to illustrate the effectiveness of the proposed approach..
39. Tuynh Van Pham, Hoa Dinh Nguyen, David Banjerdpongchai, Design of iterative learning control via alternating direction method of multipliers for building temperature control system, 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2017, 2017.11, This paper proposes a design of Iterative Learning Control (ILC) based on Alternating Direction Method of Multipliers (ADMM) with application to building temperature control system (BTCS). BTCS is modeled by linear multi-agent system subjected to undirected communication topology. The main advantage of the proposed scheme is that it gives good performance despite existing the interconnection among rooms. In this paper, the ILC design is formulated as computing control input updating. Moreover, we apply ILC to a four-connected room model. It aims that the temperature of each room in building is controlled by a central controller. Finally, numerical results illustrate the effectiveness of ILC..
40. Tuynh Van Pham, Hoa Dinh Nguyen, David Banjerdpongchai, Decentralized iterative learning control of building temperature control system, 3rd SICE International Symposium on Control Systems, ISCS 2017, 2017.03, This paper aims to design decentralized iterative learning control (ILC) for building temperature control system (BTCS). The BTCS is described by a large-scale interconnected dynamic equation and modeled as a linear multiagent system subjected to undirected communication topology using graph theory. Typically, there are two types of control strategies for BTCS, namely, distributed and decentralized schemes. The main idea of designing for the decentralized scheme is to separate the whole system into a number of subsystems. In this research, we formulate and apply decentralized ILC to a four-connected-room model. In particular, we design D-type ILC for each room in the building separately, and each controller does not communicate with other controllers. The main task of the local controller is to achieve the tracking objective, i.e., the temperature of each room tracks its own desired reference temperature. Finally, numerical results illustrate the effectiveness of decentralized ILC and are compared with that of distributed consensus controller (DCC). The results show that output responses of both controllers can track trapesoidal reference and consume the same amount of total power at steady state. Decentralized ILC gives response without overshoot, and its convergence is faster than that of DCC. Convergence analysis reveals that tracking speed depends on the choice of learning gain..
41. Hoa Dinh Nguyen, Tatsuo Narikiyo, Michihiro Kawanishi, Dynamic environmental economic dispatch
A distributed solution based on an alternating direction method of multipliers, 4th IEEE International Conference on Sustainable Energy Technologies, ICSET 2016, 2017.01, This paper proposes a distributed control approach for optimal power dispatch towards environment-friendly power grids. To do so, an optimization problem called environmental economic dispatch, which is subjected to physical constraints of the considered power system, is solved. Consequently, we propose an approach based on the Alternating Direction Method of Multipliers (ADMM) to obtain the globally optimal solution of that optimization problem in a distributed manner under a fast convergence. As a result, each generation unit can derive by itself an optimal generated power that minimizes with compromising both fuel and emission costs while satisfying both global and local physical constraints caused by the whole system and by its own. The most distinguished feature of this approach is that the power balance constraint is always guaranteed during the execution of the algorithm. Finally, the performance of our proposed approach is illustrated through the simulation to a realistic power system and the comparison with another method..
42. Hoa Dinh Nguyen, Ngoc Huynh Tran, Tatsuo Narikiyo, Michihiro Kawanishi, Stability certificate for transmission power grids under network changes, 4th IEEE International Conference on Sustainable Energy Technologies, ICSET 2016, 2017.01, This paper proposes an approach for examining the small-signal stability of transmission power grids in presence of a power line removal. Employing this approach, we derive an algebraic certificate for directly checking the existence of a new stable equilibrium point after the outage of a power line. This criterion is obtained based on the power network structure and power flow parameters without requiring the inertia parameters of generators, calculating the new equilibrium point, and the linearization technique. Therefore, the computational cost is much less than that of the well-known eigenvalue analysis approach for evaluating the small-signal stability of power systems, and the derived certificate gives insights into the power system's structure and parameters for achieving stability. A numerical test is then introduced to illustrate the proposed method..
43. Hoa Dinh Nguyen, Tatsuo Narikiyo, Michihiro Kawanishi, Multi-agent system consensus under input and state constraints, 2016 European Control Conference, ECC 2016, 2017.01, This paper proposes a unified approach to analyze and synthesize consensus control laws for general linear leaderless multi-agent systems (MASs) subjected to input or state constraints. First, the problem of consensus under input constraint is investigated where the MAS is reformulated as a network of Lur'e systems. As a result, a sufficient condition for consensus and the design of consensus controller gain are derived from solutions of a distributed LMI convex problem. Next, the problem of consensus with state constraint is transformed into an equivalent problem of consensus under input constraint. Therefore, a similar method to the previous problem can be employed for this scenario, however an additional LMI constraint should be satisfied. Finally, a numerical example is introduced to illustrate the proposed theoretical approach..
44. Hoa Dinh Nguyen, Tatsuo Narikiyo, Michihiro Kawanishi, Demand response collaborative management by a distributed alternating direction method of multipliers, 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016, 2016.12, This paper presents a new approach to obtain an optimal energy management in Smart Grids from both generation and demand sides where generation and demand units collaborate with others in a distributed manner to simultaneously obtain their optimal powers that maximize the total welfare in the grid. The proposed approach is developed based on an optimization method called Alternating Direction Method of Multipliers (ADMM). The significant differences with existing methods such as gradient-based ones are that the power balance constraint is always satisfied during the running of proposed algorithm and the convergence speed is faster. Furthermore, the ADMM is very suitable for distributed implementation, which facilitates its applications in Smart Grids. A simulation on the benchmark IEEE 39-bus system is introduced to illustrate the effectiveness of the proposed approach..
45. Hoa Dinh Nguyen, Tatsuo Narikiyo, Michihiro Kawanishi, A distributed optimal power dispatch control approach for environment-friendly power grids, 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016, 2016.11, This paper aims at proposing a distributed control approach for optimal power dispatch towards environment-friendly power grids. In order to do so, both electric generation and pollutant emission costs are properly incorporated into a unique objective function of an optimization problem subjected to physical constraints of the considered power system. Consequently, we propose an approach based on the Alternating Direction Method of Multipliers (ADMM) to obtain the globally optimal solution of that optimization problem in a distributed manner under a fast convergence. As a result, each generation unit in a power system can derive by itself an optimal generated power that minimizes with compromising both fuel and emission costs while satisfying both global and local physical constraints caused by the whole system and by its own. The most distinguished feature of this approach is that the power balance constraint is always guaranteed during the execution of the algorithm. Finally, the performance of our proposed approach is illustrated through the simulation to a realistic power system and the comparison with another method..
46. Hoa Dinh Nguyen, Tatsuo Narikiyo, Michihiro Kawanishi, Output consensus design for heterogeneous nonlinear multi-agent systems with application to smart grids, 54th IEEE Conference on Decision and Control, CDC 2015, 2016.02, This paper presents a systematic design approach for output consensus in a class of heterogeneous uncertain nonlinear multi-agent systems (MASs). By employing a feedback linearization technique, the output consensus problem of heterogeneous nonlinear MASs can be recast as a state consensus problem for homogeneous linear MASs. Consequently, a sub-optimal consensus design for linear MASs is presented to provide a constructive method for solving the initial output consensus problem in heterogeneous nonlinear MASs. Finally, the proposed approach is verified through a secondary voltage control problem in smart grids revealing its effectiveness..
47. Hoa Dinh Nguyen, Tatsuo Narikiyo, Michihiro Kawanishi, A novel distributed optimal approach to power coordination in wind power plants, IEEE Conference on Control and Applications, CCA 2015, 2015.11, This paper proposes a novel approach to design distributed optimal controllers for the power coordination problem in Wind Power Plants (WPPs). Based on LQR method, we present a systematic procedure to design a fully distributed optimal stabilizing controller for the linearized model of Wind Turbines (WTs) in a WPP. Next, the reduced-order distributed optimal controller is derived by elaborating more on the selection of weighting matrices in the LQR performance cost. Furthermore, the effect of disturbances to the system performance is evaluated through the H norm computation. Finally, the simulation results for a linearized model of WPP are shown to illustrate the effectiveness of the proposed approach..
48. Hoa Dinh Nguyen, Shinji Hara, Hierarchical decentralized stabilization for networked dynamical systems by LQR selective pole shift, 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014, 2014.01, This paper proposes a systematic method to design hierarchical, decentralized, stabilizing controllers for homogeneous hierarchical dynamical networks. Based on LQR approach with a properly chosen performance index including global and local objectives with control input penalty, an obtained optimal LQR feedback gain gives the closed-loop system a prescribed desirable hierarchical structure. In addition, the undesirable eigenvalues of the given homogeneous network can be selectively shifted by further selecting the weighting matrices based on the left eigenvectors associated with those eigenvalues. Finally, the proposed method is summarized into a systematic design procedure with an illustrative numerical example to show its effectiveness..
49. Hoa Dinh Nguyen, Shinji Hara, Synchronization behaviors in Goodwin oscillator networks driven by external periodic signals, 2013 12th European Control Conference, ECC 2013, 2013, In this paper, we present a systematic approach based on harmonic balance method to study the induced oscillations in a class of Goodwin oscillator networks forced by external periodic signals. Analytical expressions on the dependence of the phases and amplitudes of network oscillations to those of forcing inputs are revealed. Based on those expressions, we further show that under some specific conditions, the amplitude and phase shift of synchronized oscillations in networks of Goodwin oscillators monotonically depend on the amplitude of exciting inputs. The theoretical results are then illustrated through some examples..
50. Tong Duy Son, Hoa Dinh Nguyen, Hyo Sung Ahny, An interpolation method of multiple terminal iterative learning control, 2011 IEEE International Symposium on Intelligent Control, ISIC 2011, 2011, In this paper, we present an iterative learning control (ILC) algorithm to track specified desired multiple terminal points at given time instants. A framework to update the desired trajectories from given points is developed based on the interpolation technique. The approach shows better rate of convergence of the errors. The simulation with a satellite antenna control model is demonstrated to show the effectiveness of our approach..
51. Tong Duy Son, Hoa Dinh Nguyen, Hyo Sung Ahn, Iterative learning control for optimal multiple-point tracking, 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011, 2011, This paper presents a new optimization-based iterative learning control (ILC) framework for multiple-point tracking control. Conventionally, one demand prior to designing ILC algorithms for such problems is to build a reference trajectory that passes through all given points at given times. In this paper, we produce output curves that pass close to the desired points without considering the reference trajectory. Here, the control signals are generated by solving an optimal ILC problem with respect to the points. As such, the whole process becomes simpler; key advantages include significantly decreasing the computational cost and improving performance. Our work is then examined in both continuous and discrete systems..
52. Hoa Dinh Nguyen, David Banjerdpongchai, Robust iterative learning control for linear systems subject to time-invariant parametric uncertainties and repetitive disturbances, 7th Annual International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2010, 2010, This paper presents the design of a robust Iterative Learning Control (ILC) algorithm for linear systems in the presence of parametric uncertainties and repetitive disturbances. The robust ILC design is formulated as a min-max problem with a quadratic performance index subjected to constraints of the control input. Employing Lagrange duality, we can reformulate the robust ILC design as a convex optimization problem over linear matrix inequalities (LMIs). An LMI algorithm for the robust ILC design is then given. Finally, the effectiveness of the proposed robust ILC algorithm is demonstrated through a numerical example..
53. Hoa Dinh Nguyen, David Banjerdpongchai, Robust iterative learning control for linear systems with iteration-varying parametric uncertainties, 2009 7th Asian Control Conference, ASCC 2009, 2009, In this paper, a new robust Iterative Learning Control (ILC) algorithm has been proposed for linear systems In the presence of iteration-varying parametric uncertainties. The robust ILC design is formulated as a min-max problem usmg a quadratic performance criterion subject to constraints of the control input update. An upper bound of the maximization problem is derived, then, the solution of the min-max problem is achieved by solving a minimization problem. Applying Lagrange duality to this minimization problem results in a dual problem which can be reformulated as a convex optimization problem over linear matrix inequalities (LMls). Next, we present an LMI-based algorithm for the robust ILC design and prove the convergence of the control input and the error. Finally, the proposed algorithm is applied to a flexible link to demonstrate its effectiveness..
54. Hoa Dinh Nguyen, David Banjerdpongchai, Robust iterative learning control for linear systems with time-varying parametric uncertainties, 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009, 2009, In this paper, we present a robust Iterative Learning Control (ILC) design for linear systems in the presence of time-varying parametric uncertainties. The robust ILC design is formulated as a min-max problem using a quadratic performance criterion subject to constraints of the control input update where the system model contains time-varying parametric uncertainties. An upper bound of the worst-case performance is employed in the min-max problem. Subsequently, applying Lagrangian duality to the min-max problem, we derive a dual problem which is reformulated as a convex optimization over linear matrix inequalities (LMIs). As a result, iterative input updates can be obtained by solving a series of LMI problems. We give an LMI algorithm for the robust ILC design and prove the convergence of the control input and the error. Finally, a numerical example is presented to illustrate the effectiveness of the proposed algorithm..
55. Hoa Dinh Nguyen, David Banjerdpongchai, Robust iterative learning control for linear systems with time-invariant parametric uncertainties, ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009, 2009, This paper presents a novel algorithm of the robust iterative learning control for linear systems subject to timeinvariant parametric uncertainties. The design problem is formulated as a min-max problem with a quadratic performance criterion. Then, we derive an upper-bound of the worst-case performance. Applying Lagrange duality to the minimization problem leads to a dual problem which can be reformulated as an optimization problem over linear matrix inequalities. An algorithm is given afterward and its convergence properties are proved. Finally, a numerical example is given to illustrate the effectiveness of the proposed method..
56. Hoa Dinh Nguyen, David Banjerdpongchai, Robust iterative learning control for flexible link under parametric uncertainty, 2009 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2009, 2009, In this paper, we present the design of a robust Iterative Learning Control (ILC) algorithm for a single flexible link in the presence of parametric uncertainty. The robust ILC design is formulated as a min-max problem with a quadratic performance index. An upper bound of the worst-case performance is employed in the min-max problem. Applying Lagrange duality to the min-max problem, we can reformulate the robust ILC design as a convex optimization over linear matrix inequalities (LMIs). An LMI algorithm for the robust ILC design is given. Finally, the simulation results for a single flexible link are presented to illustrate the effectiveness of the proposed robust ILC algorithm..
57. Hoa Dinh Nguyen, David Banjerdpongchai, An LMI approach for robust iterative learning control with quadratic performance criterion, 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008, 2008.12, This paper presents the design of Iterative Learning Control based on Quadratic performance criterion (Q-ILC) for linear systems subject to additive uncertainty. Robust Q-ILC design can be cast as a min-max problem. We propose a novel approach which employs an upper bound of the worst-case error, then formulates a nonconvex quadratic minimization problem to get the update of iterative control inputs. Applying Langrange duality, the Lagrange dual function of the nonconvex quadratic problem is equivalent to a convex optimization over linear matrix inequalities (LMIs). An LMI algorithm with convergence properties is then given for the robust Q-ILC. Finally, we provide a numerical example to illustrate the effectiveness of the proposed method..