NDLI: Adaptive control of discrete-time state-space T-S fuzzy systems

Content Provider	IEEE Xplore Digital Library
Author	Qi Ruiyun Tao Gang Tan Chang
Copyright Year	2011
Description	Author affiliation: Department of Electrical and Computer Engineering, University of Virginia, USA (Tao Gang) \|\| College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, 210016, China (Qi Ruiyun; Tan Chang)
Abstract	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 specific 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 verified the desired performance of the new type of adaptive fuzzy control systems.
Starting Page	2496
Ending Page	2501
File Size	165037
Page Count	6
File Format	PDF
ISBN	9781457706776
ISSN	21612927
e-ISBN	9789881725592
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	Adaptation models Discrete-time model State feedback Atmospheric modeling Bismuth Mathematical model Adaptive control Relative degree Fuzzy systems T-S fuzzy system
Content Type	Text
Resource Type	Article

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