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第35届中国控制会议

作者： Bangjun Lei Xiang Wu Shumin Fei Electrical Engineering College Guizhou Institute of Technology College of Mathmatics and Computer Science Guizhou Normal University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of Automation Southeast University

ISBN: (纸本)9781509009107

Using the pseudo-generalized Hamiltonian method, this paper investigates the decentralized nonlinear robust coordinated control of multiple static synchronous compensators(STATCOMs) in multi-machine multiload power systems. First,the uncertain nonlinear differential algebraic equation model is constructed for the power system. Then, the dissipative pseudogeneralized Hamiltonian realization of the system is established by means of variable transformation and prefeedback ***, based on the obtained dissipative pseudo-generalized Hamiltonian realization, a new-style decentralized nonlinear robust coordinated controller is put forward. Simulation results demonstrate the effectiveness and robustness of the control scheme.

关键词： Pseudo-generalized Hamiltonian function method Uncertain nonlinear differential algebraic system Multimachine power systems Multiple STATCOMs Decentralized nonlinear robust coordinated control

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Robust H∞ control for a class of liner neutral delay systems

Robust H∞ control for a class of liner neutral delay system...

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2016年IEEE/INFORMS服务运筹、物流与信息化国际会议

作者： Xinlan Guo Hongxia Zhao Mechanical and Electrical Engineering Department Nanjing Communications Institute of Technology The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Huawei Nanjing Institute

This paper design controller for the uncertain neutral delay system. The uncertain neutral delay system includes norm bounded uncertain system parameters and unknown constant delay. The paper uses uncertain neutral systems with structural features, and constructs appropriate Lyapunov function to obtain feedback control law. Compared with the previous methods for solving the Riccati equation, this method overcomes the shortcoming of Riccati equation emphasizing the center solution. Simulation results show that, the conservatism of the controller designed in this paper is reduced, and the controller easy to operate and application.

关键词： Robust H∞ control neutral system uncertain time delay feedback control

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I&I based Command Filtered Back-stepping of Pure-feedback systems in presence of Non-linearly Parameterized Uncertainty 34

I&I based Command Filtered Back-stepping of Pure-feedback Sy...

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第三十四届中国控制会议

作者： JI Yuehui ZONG Qun NI Weichen LI Junfang School of Electrical Engineering and Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin University of Technology Department of Electrical Engineering and Automation Tianjin University

ISBN: (纸本)9781467374439

An Immersion and Invariance-based command filtered back-stepping control, is addressed for non-linearly parameterized pure-feedback systems, which avoids the complicate analytic derivatives in traditional back-stepping design. In the underlying control scheme, integral sliding-mode filters are designed to approximate the virtual control derivatives, to solve the nd in pure feedback system. The resulting closed-loop system consists of controller-filter pair, which both satisfy the input-to-state stability(ISS) property, providing the celebrated small-gain theorem can be exploited to guarantee the stability of closed-loop system. Referring to the issue of non-linearly parameterized uncertainty, adaptive laws are derived via Immersion and Invariance technique. Numerical simulations are included to illustrate the effectiveness of proposed control scheme.

关键词： Command filtered backstepping,Immersion and Invariance,Pure feedback System,Non-linearly Parameterized Uncertainty

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Observer based policy iteration algorithm for fault tolerant control of nonlinear systems with actuator faults

Observer based policy iteration algorithm for fault tolerant...

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World Congress on Intelligent control and automation (WCICA)

作者： Bo Zhao Derong Liu Yuanchun Li Guang Shi State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China Department of Control Science and Engineering Changchun University of Technology Changchun China

ISBN: (纸本)9781467384155

This paper investigates a novel fault tolerant control scheme to handle actuator faults in nonlinear systems based on policy iteration algorithm with fault observer. The fault observer is established to estimate the actuator fault, which is used to construct an improved performance index function that reflects the fault, regulation and control simultaneously. With the help of the proper performance index function, the FTC problem is transformed into an optimal control problem. By constructing a critic neural network, the Hamilton-Jacobi-Bellman equation can be solved by using policy iteration algorithm, and then the approximated fault tolerant controller can be obtained directly. The closed-loop system is guaranteed to be uniformly ultimately bounded based on the Lyapunov's direct method. Simulation example is given to verify the effectiveness of the developed FTC scheme.

关键词： Actuators Performance analysis Observers Optimal control Nonlinear systems Fault tolerance Fault tolerant systems

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Robustness of controlling edge dynamics in complex networks against node failure

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Physical Review E 2016年第5期94卷 052310-052310页

作者： Shao-Peng Pang Fei Hao Wen-Xu Wang The Seventh Research Division School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China School of Systems Science Beijing Normal University Beijing 100875 China School of Electrical Computer and Energy Engineering Arizona State University Tempe Arizona 85287 USA

The robustness of controlling complex networks is significant in network science. In this paper, we focus on evaluating and analyzing the robustness of controlling edge dynamics in complex networks against node failure. Using three categories of all nodes to quantify the robustness, we find that the percentages of the three types of nodes are mainly related to the degree distribution of networks. The simulation results of model networks and analytic calculations show that the sparse inhomogeneous networks, which emerge in many real complex networks, have strong control robustness from the point of the number of ordinary nodes, but the strong positive correlation between in and out degrees reduces the control robustness. Evaluation of real-world networks indicates that most of them have few or no critical nodes, that is, they do not need to increase driver nodes to maintain control for most of node failures. Then an adding circuit-link strategy is proposed to optimize the robustness of edge controllability.

关键词： Degree correlations Degree distributions Network optimization Robustness Directed networks Real world networks

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Optimal Self-Learning Cooperative control for Continuous-Time Heterogeneous Multi-Agent systems 34

Optimal Self-Learning Cooperative Control for Continuous-Tim...

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第三十四届中国控制会议

作者： WEI Qinglai LIU Derong SONG Ruizhuo The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences School of Automation and Electrical Engineering University of Science and Technology Beijing

ISBN: (纸本)9781467374439

In this paper, an optimal self-learning cooperative control for heterogeneous multi-agent systems by iterative adaptive dynamic programming(ADP) is developed. The main idea is to design an optimal control law by policy iteration based ADP technique which makes all the agents track a given dynamics and simultaneously makes the iterative performance index function reach the Nash equilibrium. The cooperative policy iteration algorithm for graphical differential games is developed to achieve the optimal control law for the agent of each node. Convergence properties are analyzed which make the performance index functions of heterogeneous multi-agent differential graphical games converge to the Nash equilibrium. Simulation example is given to show the effectiveness of the developed optimal self-learning control scheme.

关键词： Adaptive Critic Designs,Adaptive Dynamic Programming,Approximate Dynamic Programming,Heterogeneous Multi-Agents,Graphical Games,Policy Iteration,Synchronization

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Multiple Unmanned Aerial Vehicle Autonomous Formation via Wolf Packs Mechanism

Multiple Unmanned Aerial Vehicle Autonomous Formation via Wo...

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2016 IEEE/CSAA International Conference on Aircraft Utility systems(AUS)

作者： Haohan Chen Haibin Duan Beihang University(BUAA) IEEE Bio-inspired Autonomous Flight Systems(BAFS) Research Group Science and Technology on Aircraft Control LaboratorySchool of Automation Science and Electrical EngineeringBeihang University(BUAA)

The unmanned aerial vehicle(UAV) formation flight is similar with the social behavior of biological *** by the similarity,a method of autonomous formation control based on the mechanism of wolf packs is ***,a multi-UAVs controller based on potential field method is ***,a model of the wolf packs hierarchy model by imitate the behavior of wolf pack is *** topological structure and leadership in wolf packs is modelled by using digraph theory,***,the bionic mechanism of multiple unmanned aerial vehicle autonomous formation is analysed,and a formation keeping controller based on wolf packs mechanism is *** core of the controller is the model of the wolf packs hierarchy *** model includes two assistant parts:the control instruction solver and the state ***,we give a series of simulation results to show that the UAVs can form an expected flight formation with the designed controller,and keep the formation under serious conditions of complex leader motion.

关键词： UAV Multiple Unmanned Aerial Vehicle Autonomous Formation via Wolf Packs Mechanism

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Quantized Feedback control for a class of 2-D systems with Missing Measurements 34

Quantized Feedback Control for a class of 2-D Systems with M...

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第三十四届中国控制会议

作者： Bu Xuhui Cheng Zihao Hou Zhongsheng School of Electrical Engineering & Automation Henan Polytechnic University Advanced Control Systems Lab. School of Electronics and Information EngineeringBeijing Jiaotong University

ISBN: (纸本)9781467374439

In this paper, the quantized feedback control problem is investigated for a class of network-based 2-D systems described by Roesser model with data missing. It is assume that the states of the controlled system are available and there are quantized by logarithmic quantizer before being communicated. Moreover, the data missing phenomena is modeled by a Bernoulli distributed stochastic variable taking values of 1 and 0. A sufficient condition is derived in virtue of the method of sector-bounded uncertainties, which guarantees that the closed-loop system is stochastically stable. Based on the condition, quantized feedback controller can be designed by using linear matrix inequalities technique. The simulation example is given to illustrate the proposed method.

关键词： 2-D systems networked control systems quantized control missing measurements H_∞ control

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A Novel Data-driven Terminal Iterative Learning control for Nonlinear Time-varying systems 34

A Novel Data-driven Terminal Iterative Learning Control for ...

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第三十四届中国控制会议

作者： CHI Ronghu LIU Yu HOU Zhongsheng JIN Shangtai School of Automation & Electrical Engineering Qingdao University of Science & Technology Advanced Control Systems Lab School of Electronics & Information EngineeringBeijing Jiaotong University

ISBN: (纸本)9781467374439

In this paper, a novel terminal iterative learning control approach is explored for a class of nonlinear discrete-time systems. It targets a terminal tracking tasks to a single desired point at the end of a run. A new control objective function is designed by incorporating a forgetting factor to obtain the control law. The proposed approach is a data-driven scheme and only depends on the measured I/O data without any modeling knowledge. The simulation results demonstrate the effectiveness of the proposed method.

关键词： Data-driven control,Terminal ILC,Forgetting factor,Nonlinear discrete-time systems

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Event-based state estimation of discrete-state hidden Markov models

Event-based state estimation of discrete-state hidden Markov...

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作者： Shi, Dawei Elliott, Robert J. Chen, Tongwen State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China School of Mathematical Sciences University of Adelaide SA5005 Australia Haskayne School of Business University of Calgary CalgaryAB Canada Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 1H9 Canada

The state estimation problem for hidden Markov models subject to event-based sensor measurement updates is considered in this work, using the change of probability approach. We assume the measurement updates are transmitted through wired or wireless communication networks. For the scenarios with reliable and unreliable communication channels, analytical expressions for the probability distributions of the states conditioned on all the past point- and set-valued measurement information are obtained. Also, we show that the scenario with a lossy channel, but without the event-trigger, can be treated as a special case of the reliable channel results. Based on these results, closed-form expressions for the estimated communication rates under the original probability measure are presented, which are shown to be the ratio between a weighted 1-norm and the 1-norm of the unnormalized conditional probability distributions of the states under the new probability measures constructed. Implementation issues are discussed, and the effectiveness of the results is illustrated by numerical examples and comparative simulations. © 2015 Elsevier Ltd. All rights reserved.

关键词： Hidden Markov models

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