Data-driven fault-tolerant control for nonlinear systems with output saturation
Xianming Wang, Yiyu Shao, Zhihao Zhang, Mouquan Shen, Hamid Reza Karimi
Abstract
This paper is focused on data-driven fault-tolerant control for nonlinear systems with output saturation. A modified observer with measurement output is built to approximate sensor fault. According to this approximation, corresponding data-driven fault-tolerant controller is proposed by utilizing optimization criteria and adaptive dynamic programming method. Consequently, a triggering rule is constructed by employing instantaneous and average measurement output. Resorting to the Lyapunov method, the resulted error system is uniformly ultimately bounded. The effectiveness of the presented approach is demonstrated by an example comparison.
Topics & Concepts
Control theory (sociology)Nonlinear systemBounded functionObserver (physics)Controller (irrigation)Fault toleranceSaturation (graph theory)Lyapunov functionComputer scienceFault (geology)MathematicsControl (management)PhysicsMathematical analysisAgronomySeismologyQuantum mechanicsCombinatoricsBiologyArtificial intelligenceDistributed computingGeologyFault Detection and Control SystemsAdvanced Control Systems OptimizationControl Systems and Identification