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Adaptive control using interval Type-2 fuzzy logic for uncertain nonlinear systems |
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| Authors: | ZHOU Hai-bo YING Hao DUAN Ji-an |
| Affiliation: | ZHOU Hai-bo1,2,YING Hao3,DUAN Ji-an1,21.School of Mechanical and Electrical Engineering,Central South University,Changsha 410083,China,2.State Key Laboratory of High Performance and Complex Manufacturing,3.Department of Electrical and Computer Engineering,Wayne State University,Detroit,Michigan,48202,USA |
| Abstract: | A new adaptive Type-2 (T2) fuzzy controller was developed and its potential performance advantage over adaptive Type-1 (T1) fuzzy control was also quantified in computer simulation.Base on the Lyapunov method,the adaptive laws with guaranteed system stability and convergence were developed.The controller updates its parameters online using the laws to control a system and tracks its output command trajectory.The simulation study involving the popular inverted pendulum control problem shows theoretically pre... |
| Keywords: | Type-2 fuzzy systems adaptive fuzzy control nonlinear systems stability |
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