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For a class of nonlinear networked control system (NCS) with network-induced delay and packed dropout, which is influenced by external disturbance with limited energy in transmission, a T-S fuzzy model is employed to represent the nonlinear controlled plant. By using appreciate Lyapunov-Krasovskii function, a H∞ integrality sufficient condition against actuator failures is derived based on delay-dependent...
This paper addresses the problem of robust fault estimation and fault tolerant control (FTC) for Takagi-Sugeno (T-S) fuzzy systems. A fuzzy-augmented fault estimation observer (AFEO) design is proposed to achieve fault estimation of T-S models with actuator faults. Furthermore, based on the information of online fault estimation, an observer-based dynamic output feedback-fault tolerant controller...
This paper studies the problem of fault-tolerant control (FTC) for a class of uncertain nonlinear systems which cannot be feedback linearized. These systems are unknown in their nonlinearities and subject to both lock-in-place and loss of effectiveness actuator faults. A novel fault-tolerant control approach is proposed by embedding adaptive fuzzy approximators into the backstepping design procedure...
This paper presents an integrated fault diagnosis and fault-tolerant control methodology for a two-link planar nonlinear robotic systems. Based on the information obtained during a fault diagnostic procedure, a fault-tolerant control component is designed to compensate for the effect of faults using an adaptive learning structure in the form of Takagi-Sugeno fuzzy systems. First, a baseline controller...
A new design scheme of direct robust fault-tolerant adaptive fuzzy control for a class of perturbed and strict feedback nonlinear systems with actuators fault is proposed. The design is based on the backstepping. A continuous robust term is adopted to minimize the influence of modeling error or disturbance and the fuzzy systems approximate to the fault functions and controls. By theoretical analysis,...
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