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Finite Time Controller Design of Nonlinear Quantized Systems with Nonstrict Feedback Form

Xueyi Zhang, Fang Wang*, and Lili Zhang
International Journal of Control, Automation, and Systems, vol. 17, no. 1, pp.225-233, 2019

Abstract : "This article considers a finite-time control problem of nonlinear quantized systems in complex environments. The controlled system is in a non-strict feedback form. By applying a nonlinear decomposition of hysteretic quantizer, the quantization issue is tackled successfully. By employing a structural property of radial basis function (RBF) neural networks (NNs), the conventional backstepping method is extended to non-strict feedback nonlinear quantized systems. Based on the finite time stability criterion, a new adaptive neural control scheme is presented. The constructed neural controller can ensure the transient performance of nonlinear quantized systems."

Keyword : Adaptive control, finite-time control, neural network, quantized nonlinear systems.

 
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