Fuzzy Adaptive Finite-Time Fault-Tolerant Control for Strict-Feedback Nonlinear Systems
Kangkang Sun, Lu Liu, Jianbin Qiu, Gang Feng
Abstract
This article devotes to investigating the issue of fuzzy adaptive control for a class of strict-feedback nonlinear systems with nonaffine nonlinear faults. The computational complexity is reduced by adopting the dynamic surface control technique. Under the framework of finite-time stability, a novel fault-tolerant control strategy is designed so that the closed-loop system is semiglobally practically finite-time stable, and the tracking error converges to a small residual set in a finite time. Finally, simulation studies for an electromechanical system are shown to verify the feasibility of the presented approach.
Topics & Concepts
Control theory (sociology)Nonlinear systemTracking errorFault toleranceComputer scienceFuzzy control systemAdaptive controlFuzzy logicResidualAdaptive systemControl systemStability (learning theory)Control (management)AlgorithmEngineeringArtificial intelligenceMachine learningDistributed computingElectrical engineeringQuantum mechanicsPhysicsAdaptive Control of Nonlinear SystemsGuidance and Control SystemsAdaptive Dynamic Programming Control