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sliding Mode Control for Nonlinear system Based on t-s model

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systems science and systems Engineering 2002年第4期11卷 425-430页

作者： WU Zhong-qiangCollege of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China College of Electrical Engineering Yanshan University Qinhuangdao 066004 China

Using t-s model as an approximation for nonlinear system, the nonlinear system has been fuzzy into local linear model. the variable structure controller designed by using Lyapunov theory insures the stability of system. the sliding mode controller is designed by using unit vector style, and it suit the uncertain elements satisfying matching condition or do not satisfy matching condition. the effect of the scheme has been tasted with a simulation of an inverted pendulum.

关键词： nonlinear t-s model sliding model control

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t-s model Based Fuzzy Logic Controller for AGC system after Deregulation Considering DPM

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T-S Model Based Fuzzy Logic Controller for AGC System after ...

2009中国控制与决策会议

作者： HOU GuoLian~1,LOU Rui~1,ZHANG Jianhua~1,ZHANG Qiaoqiao~2,FAN Changming~3 1.Department of Automation,North China Electric Power University(NCEPU),Beijing,102206 2.Department of Electrical & Electronic Engineering school,NCEPU,Beijing,102206 3.Zhengzhou Gas turbine Generator Company,Zhengzhou,China,450007

A novel fuzzy logic controller based on t-s model is proposed for automatic generation control(AGC) system after *** this paper,the traditional AGC is modified to take into account the effect of the nonlinearity and bilateral contracts on the dynamics,since the restructured AGC system is now exposed to sudden,larger changes and the bilateral contracts are *** generation rate constraint(GRC) is firstly constructed in t-s model to design the fuzzy logic controller,while the valve position limits on the governor are under consideration as *** concept of DIsCO participation matrix(DPM) is introduced to simulate the bilateral *** conditions for the asymptotic convergence of the whole system are provided in terms of linear matrix inequalities(LMI).the current control scheme is compared with conventional proportional and integral(PI) controller in case 1,which indicates the proposed controller has better performance than the other while nonlinearity is *** effect of bilateral contracts is simulated in case 2.

关键词： AGC Deregulation t-s model Valve position limits GRC Bilateral Contracts DPM

the temperature system identification of the PVC stripper tower top based on PsO-FCM optimized t-s model

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The temperature system identification of the PVC stripper to...

第24届中国控制与决策会议

作者： Gao shuzhi 1 , Dou Xing 1 , Gao Xianwen 2 1. College of Information Engineering, shenyang University of Chemical technology, shenyang 110142, China2. College of Information science and Engineering, Northeastern University, shenyang 110189, China

In view of the characteristics of t-s model, such as easily expressing complex dynamic systems and the characteristics of PsO algorithm which could find the optimal solution of complex problems easily. this paper will presents a new identification method based on the t-s model in which FCM parameters is optimized by *** mathematical model of the temperature system of the PVC stripper tower top will be built by this method . First, an adaptive number of clusters of C-means clustering fuzzy (FCM) algorithm is used to find the appropriate number of clusters in FCM, and both the number of fuzzy rules and the premise parameters of the model can are determined. Using PsO algorithm to optimize the FCM algorithm, then getting the best membership matrix by the FCM algorithm based on PsO in the ***,a least square algorithm is applied to determine the parameters of consequent part of t-s model. the simulation result shows the effectiveness and feasibility of the modeling method..

关键词： t-s model fuzzy c-means clustering (FCM) least squares algorithm polyvinyl chloride (PVC) Particle swarm optimization algorithm PsO)

Robust H∞ Control of Unmanned Underwater Vehicle in Vertical Plane Based on t-s model and Parallel Distributed Compensation

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Robust H∞ Control of Unmanned Underwater Vehicle in Vertica...

第37届中国控制会议

作者： Zhang Xun Liao Hongzhou Zhou Jiajia Zhang Honghan College of Automation Harbin Engineering University

Excellent depth control capability of UUV（Unmanned Underwater Vehicle） is a key factor for completing specific tasks. Considering the variance of UUV’s speed and ocean current interference, depth and pitch control model of UUV are established based on t-s model. the H∞ controller in vertical plane movement is designed applying the method of parallel distributed compensation（PDC）. Aiming to meet the design requirements with the large pitch angle when UUV is submerging,the depth-pitch coordinated control method with variant depth is used to control the submergence of UUV. simulation result shows that the control method can effectively control depth and pitch of UUV in given speed interval and has good dynamic performance. Moreover, the method can effectively decrease the pitch angel when UUV is submerging and has strong inhibitory ability on ocean current disturbance.

关键词： UUV H∞ control t-s model PDC Depth-pitch coordinated control method

Robust Iterative Learning Control for Nonlinear system Based on t-s model

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Robust Iterative Learning Control for Nonlinear System Based...

2010 Chinese Control and Decision Conference

作者： Xisheng Zhan Department of Control science and Engineering,Hubei Normal University,Huangshi Hubei Province 435002

＜正＞A design method of robust iterative learning controller（RILC） is proposed for nonlinear system with repetitive actions in this ***,the takagi and sugeno（t-s） fuzzy model is employed to approximate a nonlinear system with repetitive actions,and thus global fuzzy system model is displayed as the form of uncertain *** the robust iterative learning controller is designed by the t-s fuzzy model employed as a dynamic model of nonlinear *** proposed controller is obtained by solving linear matrix inequalities（LMI）,and both sufficient and essential of the convergence conditions are deducted by Lyapunov *** proposed controller needs not satisfy the condition of fully observable as well as we did before.A single inverted pendulum problem has been simulated with RILC and compared with iterative learning controller（ILC） and the results show that RILC performs better than ILC.

关键词： t-s model nonlinear iterative learning control linear matrix inequality

Predictive Control simulation study Based on t-s Fuzzy model

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Predictive Control Simulation Study Based on T-S Fuzzy Model

第三十届中国控制会议

作者： DU shi-Jie,sHEN Qing-Bo Department of Information and Control Engineering,Liaoning University of Petroleum &Chemical technology, Fushun 113001,P.R.China

＜正＞A t-s fuzzy model was established for nonlinear system by a fuzzy identification method,fuzzy predictive control was developed by combining with generalized predictive *** this paper,the fuzzy identification method was based on fast fuzzy clustering,premise parameter identification using multi-step random sampling method,fuzzy C clustering method, parameter identification of the conclusions using least *** identification method divided fuzzy clustering into two parts,compared with the previous method,it can greatly shorten the time and has a high recognition *** terms of the nonlinear system,t-s fuzzy model has a good description of features,combined with the moving optimization of generalized predictive control to achieve effective control of nonlinear *** simulation results show that the algorithm is effective.

关键词： t-s model Generalized Predictive Control C-means clustering

A Mathematical study for the stability of two Predator and One Prey with Infection in First Predator using Fuzzy Impulsive Control

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Annals of Applied Mathematics 2023年第1期39卷 29-48页

作者： Khushbu singh Kolla Kaladhar Department of Mathematics National Institute of TechnologyWarangal-506004India

In this study,we develop a set of ordinary differential equations that represents the dynamics of an ecosystem with two predators and one prey,but only the first predator population is affected by an infectious *** Lotka-Volterra predator-prey system’s model stability have been examined using the takagi-sugeno(t-s)impulsive control model and the Fuzzy impulsive control *** the formulation of the model,the global stabilities and the Fuzzy solution are carried out through numerical simulations and graphical representations with appropriate discussion for better understanding the dynamics of our proposed model.

关键词： Prey-predator system t-s model stability eco-epidemiology

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Exponential stability of discrete-time positive switched t-s fuzzy systems with all unstable subsystems

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science China(Information sciences) 2021年第5期64卷 236-238页

作者： Gengjiao YANG Fei HAO Lin ZHANG Bohu LI school of Automation science and Electrical Engineering Beihang University Engineering Research Center of Complex Product Advanced Manufacturing systems Ministry of Education Beijing simulation Center

Dear editor,Over the past few decades, stability analysis has been an important field of research, and various methods for stability analysis have been proposed [1]. In recent years, stability problem of positive swit... 详细信息

关键词： stability analysis positive switched nonlinear systems t-s model unstable subsystems fast MDADt

temperature modeling of PEM Fuel Cell Based on Fuzzy strategy

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Temperature Modeling of PEM Fuel Cell Based on Fuzzy Strateg...

第26届中国控制与决策会议

作者： Yan Qun Li Qing Zhang Peichang Yu Datai school of Automation & Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and steel Process (Ministry of Education)

ISBN: (纸本)9781479937066

Proton Exchange Membrane Fuel cell has many perfect characters and becomes one of the most important research subjects among domestic and international fuel cell fields. Heat transfer management is one of the key technologies for PEM fuel cell. this paper built a temperature model of PEM fuel cell based on fuzzy technology, which divided the fuzzy space evenly by established rules, got the number of fuzzy rules and rules application degree, identified the consequent parameters by least square method. this model is fit for multi-variables and has simple construction and high accuracy. Finally, simulation examples show the effectiveness of the modeling.

关键词： fuzzy identification PEM fuel cell temperature system t-s model