This paper investigates the problem of fuzzy adaptive finite-time fault tolerant control (FTC) for a classof multi-input and multi-output (MIMO) nonlinear systems with actuator failure. In control design, the fuzzylogic systems (FLSs) are adopted to identify the unknown nonlinear functions and a state observer is constructedto estimate the unmeasurable states. By combining dynamic surface control (DSC) technique with backsteppingdesign, a novel finite-time fuzzy adaptive FTC strategy is proposed based on fault-tolerant control technique toovercomes the 'explosion of complexity' problem. The presented control method demonstrates that all signals ofthe closed-loop system are semi-global practical finite-time stability (SGPFS), and the tracking errors converge to asmall neighborhood of zero in a finite time. Finally, a numerical example is provided to illustrate the effectivenessof the presented control method.
This paper investigates the problem of fuzzy adaptive finite-time fault tolerant control (FTC) for a classof multi-input and multi-output (MIMO) nonlinear systems with actuator failure. In control design, the fuzzylogic systems (FLSs) are adopted to identify the unknown nonlinear functions and a state observer is constructedto estimate the unmeasurable states. By combining dynamic surface control (DSC) technique with backsteppingdesign, a novel finite-time fuzzy adaptive FTC strategy is proposed based on fault-tolerant control technique toovercomes the 'explosion of complexity' problem. The presented control method demonstrates that all signals ofthe closed-loop system are semi-global practical finite-time stability (SGPFS), and the tracking errors converge to asmall neighborhood of zero in a finite time. Finally, a numerical example is provided to illustrate the effectivenessof the presented control method.