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第25届中国控制与决策会议

作者： HAO wan-jun Qiao yan-hui Li ze Wu yong-zhi Gao han-wen Yang jun College of Mechanical and Electrical Engineering Suzhou University of sience and tecnology College of Information science and Engineering Northeastern University

ISBN: (纸本)9781467355339

Based on multi-objective optimization control, fuzzy state feedback control and set Point tracking control strategy, A novel scheme for the coordinated control of power units is presented. Firstly, a fuzzy state space model of boiler-turbine system is built. then, based on the model and pole placement design, a state feedback controller with asymptotic tracking performance is proposed. Because the system has nonlinear, strong coupling, variable condition, parameter time-varying characteristics, which led to the optimum parameters of pole placement are difficult to determine. In order to guarantee dynamic performance, stability and control variable constraints of the system, a multi-objective optimization method for pole placement based on particle swarm optimization is exploited. this control system has good tracking property with zero steady-state error and can reject input disturbances, the controller works well even if some parameters change. simulation results show that the system designed by the proposed method gives satisfactory regulation quality within wide operating range.

关键词： Boiler-turbine system Coordinated control Multi-objective Optimization particle swarm optimization Pole assignment t-s fuzzy control

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Linearization of t-s fuzzy systems and robust H_∞ control

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Journal of Central south University 2011年第1期18卷 140-145页

作者： YOON tae-sung 王法广 PARK seung-Kyu KWAK Gun-Pyong AHN Ho-Kyun school of Mechatronics Changwon National University

takagi-sugeno(t-s) fuzzy model is difficult to be linearized because of membership functions ***,novel t-s fuzzy state transformation and t-s fuzzy feedback are proposed for the linearization of t-s fuzzy *** novel t-s fuzzy state transformation is the fuzzy combination of local linear transformation which transforms local linear models in the t-s fuzzy model into the local linear controllable canonical *** fuzzy combination of local linear controllable canonical model gives controllable canonical t-s fuzzy model and then nonlinear feedback is obtained *** the linearization of t-s fuzzy model,a robust H∞ controller with the robustness of sliding model control(sMC) is *** a result,controlled t-s fuzzy system shows the performance of H∞ control and the robustness of sMC.

关键词： t-s fuzzy control linearization H∞ control sliding mode control

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A New LMI-Based Approach to state Feedback H∞ control Designs for t-s fuzzy Dynamic systems

A New LMI-Based Approach to State Feedback H∞ Control Desig...

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2010 Chinese control and Decision Conference

作者： Zhaona Chen,Yuanwei Jing,Nan Jiang 1,school of Information science and Engineering,Northeastern University,shenyang,110004

this paper proposes a new quadratic stability condition and Hcontrol designing for takagi-sugeno(t-s) fuzzy control ***,new stability sufficient condition in the format of linear matrix inequalities(LMIs) is obtained by relaxing the stability condition derived in previous *** guarantees the existence of the state feedback ***,the paper addresses the Hcontroller designing,and the Hcontroller can be considered by solving a set of suitable ***,the validity and applicability of the proposed approach are successfully demonstrated through numerical simulations for the continuous-time nonlinear system.

关键词： Quadratic stability t-s fuzzy control Linear Matrix Inequalities state Feedback H∞control

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synchronous control of Complex Networks with fuzzy Connections

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Open Journal of Applied sciences 2023年第12期13卷 2273-2281页

作者： Wei Chen Yuanguang Zheng school of Mathematics and Information sciences Nanchang Hangkong University Nanchang China

this article is based on the t-s fuzzy control theory and investigates the synchronization control problem of complex networks with fuzzy connections. Firstly, the main stability equation of a complex network system is obtained, which can determine the stability of the synchronous manifold. secondly, the main stable system is fuzzified, and based on fuzzy control theory, the control design of the fuzzified main stable system is carried out to obtain a coupling matrix that enables the complex network to achieve complete synchronization. the numerical analysis results indicate that the control method proposed in this paper can effectively achieve synchronization control of complex networks, while also controlling the transition time for the network to achieve synchronization.

关键词： t-s fuzzy control synchronization Complex Network

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