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Adaptive fuzzy decentralized control for nonlinear large-scale systems based on high-gain observer

Science China(Information Sciences) 2012年第1期55卷 228-242页

作者： TONG ShaoCheng,REN Chang’E&LI YongMing Department of Basic Mathematics,Liaoning University of Technology,Jinzhou 121001,China Department of Basic Mathematics Liaoning University of Technology Jinzhou China

An adaptive fuzzy decentralized backstepping output-feedback control approach is proposed for a class of nonlinear large-scale systems with completely unknown functions,the interconnections mismatched in control inputs,and without the measurements of the *** logic systems are employed to approximate the unknown nonlinear functions,and an adaptive high-gain observer is developed to estimate the unmeasured *** the designed high-gain observer,and combining the fuzzy adaptive control theory with backstepping approach,an adaptive fuzzy decentralized backstepping output-feedback control scheme is *** is proved that the proposed control approach can guarantee that all the signals of the closed-loop system are semi-globally uniformly ultimately bounded(SUUB),and that the observer errors and the tracking errors converge to a small neighborhood of the origin by appropriate choice of the design ***,a simulation example is provided to show the eectiveness of the proposed approach.

关键词： nonlinear large-scale systems fuzzy logic system high-gain state observer adaptive decentralized control stability analysis

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Adaptive Fuzzy Decentralized Control for nonlinear large-scale systems Based on High-Gain Observer

Adaptive Fuzzy Decentralized Control for Nonlinear Large-Sca...

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2011 Chinese Control and Decision Conference（CCDC）

作者： Chang''e Ren,Shaoceng Tong and Yongming Li with Department of Basic Mathematics,Liaoning University of Technology,Jinzhou,Liaoning,121001 China

An adaptive fuzzy decentralized backstepping output-feedback control approach is proposed for a class of nonlinear large-scale systems with completely unknown functions,the interconnections mismatched in control inputs,and without the measurements of the *** logic systems are employed to approximate the unknown nonlinear functions,and an adaptive high-gain observer is developed to estimate the unmeasured *** the designed high-gain observer,and combining the fuzzy adaptive control theory with backstepping approach,a novel adaptive fuzzy decentralized backstepping output-feedback control scheme is *** is proved that the proposed control approach can guarantee all the signals of the closed-loop system are semi-globally uniformly ultimately bounded （SUUB）,the observer errors and the tracking errors converge to a small neighborhood of the origin by appropriate choice of the design ***,a simulation example is provided to show the effectiveness of the proposed approach.

关键词： nonlinear large-scale systems Fuzzy logic system High-gain state observer Adaptive decentralized control Stability analysis

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Disturbance Rejection with Zero Steady-State Error for nonlinear large-scale systems

Disturbance Rejection with Zero Steady-State Error for Nonli...

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2011 Chinese Control and Decision Conference（CCDC）

作者： Hong-Wei Gao is with the College of Mechanical and Electronic Engineering,Qingdao Agricultural University,Qingdao,CO 266109,China.DONG Rui was with Department of Mathematics Henan Institute of Science and Technology,Xinxiang CO 453003,China.Juan Li is with the the College of Mechanical and Electronic Engineering,Qingdao Agricultural University,Qingdao,CO 266109,China

The disturbance rejection problem for nonlinear large-scale systems with external persistent disturbances is *** developinp a sensitivity approach and the internal model principle,the problem of disturbance rejection for the original control system is solved by designing an optimal control law for the augmented nonlinear system without *** control law obtained consists of an accurate linear state feedback term,an internal model compensation term and a nonlinear compensation term which is a series sum of the adjoint *** the state feedback term can stabilize the system,the internal model compensation term eliminates the influence of the disturbances,and the last one compensates the influence of the nonlinear interconnected term.A simulation example is employed to test the validity of the algorithm.

关键词： nonlinear large-scale systems Disturbance rejection Internal model control Sensitivity approach

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