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In actual systems, actuator saturation is a common phenomenon, which often severely restricts system dynamic performance and gives rise to instability. In order to reduce the effects of saturation, this paper presents an adaptive control method based on multilayer neural networks (MNNs) for a class of uncertain nonlinear systems with Brunovsky canonical form and input saturation. This controller is...
This paper presents a wavelet based adaptive observer based control strategy for a class of uncertain multiple input multiple output (MIMO) delayed nonlinear systems subjected to actuator saturation. The time delay observer presented in this paper is the extension of observer design for SISO systems. The proposed wavelet adaptive observer performs the task of identification of unknown system dynamics...
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...
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