Adaptive Control of Discrete-Time State-Space T-S Fuzzy Systems
This paper develops a new solution framework for adaptive control of general discrete-time state-space T-S fuzzy systems with a relative degree ρ (1 ≤ρ≤n).A new procedure is proposed to construct a global T-S fuzzy system model from local state-space models in non-canonical form,which has an explicit relative degree structure and a speci fic input-output signal causality relationship in the sense that it does not include any future values of fuzzy membership functions.An adaptive feedback control scheme is designed based on the global T-S fuzzy model,to ensure desired stability and tracking.As an illustrative example,a T-S fuzzy system is constructed based on the linearized local models of a transport airplane.Simulation results have demonstrated the developed new concepts and veri fied the desired performance of the new type of adaptive fuzzy control systems.
QI Ruiyun TAO Gang TAN Chang
College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016, Department of Electrical and Computer Engineering,University of Virginia,USA College of Automation E
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-6
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）