Pseudo-partial-derivative information-driven adaptive fault-tolerant tracking control for discrete-time systems
Yuan Wang,
Zhenbin Du,
Yanming Wu
Abstract:The fault-tolerant tracking control problem is studied for the discrete-time systems with actuator faults. To lessen adverse impacts of actuator fault, a PPD information-driven fault estimation algorithm is established to adaptively estimate actuator fault information online, which avoids the additional construction and training process of neural network. With the aid of the adaptive fault compensation, a model-free adaptive fault-tolerant tracking control algorithm is constructed to ensure that the expected o… Show more
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