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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tieshan Li |
| Copyright Year | 2009 |
| Description | Author affiliation: Navigation College, Dalian Maritime University, Dalian, 116026, China (Tieshan Li) |
| Abstract | A simple adaptive fuzzy control (SAFC) is proposed for a class of strict-feedback uncertain nonlinear systems with both unknown system nonlinearities and unknown virtual control gain nonlinearities. Combining the dynamic surface con-trol(DSC) technique with minimal-learning-parameters(MLP) algorithm, a systematic procedure for synthesis of SAFC is developed base on the universal approximation of Takagi-Sugeno(T-S) fuzzy system. An important feature of the proposed algorithm is that the number of parameters updated on line for each subsystem is reduced dramatically to one, both problems of “explosion of complexity” and “curse of dimension” are avoided, such that the computation load is reduced drastically. It is shown that all closed-loop signals are semi-global uniform ultimate bound(SGUUB) via Lyapunov stability theory and the tracking error can be made arbitrary small. Finally, simulation results are presented to demonstrate the effectiveness and performance of the proposed scheme. |
| Starting Page | 319 |
| Ending Page | 324 |
| File Size | 397906 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424435968 |
| ISSN | 10987584 |
| DOI | 10.1109/FUZZY.2009.5277123 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-20 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Programmable control Adaptive control Fuzzy control Adaptive systems Nonlinear systems Nonlinear control systems Control nonlinearities Control systems Nonlinear dynamical systems Approximation algorithms minimal-learning parameters Uncertain nonlinear systems Takagi-Sugeno(T-S) fuzzy system adaptive control dynamic surface |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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