Adaptive Robust Control for Networked Strict-Feedback Nonlinear Systems with State and Input Quantization

Backstepping method is a successful approach to deal with the systems in strict-feedback form. However, for networked control systems, discontinuous virtual law caused by state quantization introduces huge challenges its applicability. In this article, quantized adaptive robust backsetpping framework developed article nonlinear both and input quantization. order prove efficiency of designed scheme, novel form Lyapunov candidate function was constructed process analyzing stability, which applicable nondifferentiable law. particular, quantizers can be any as long they meet sector-bound condition. The theoretic result shows that tracking error determined pregiven constants errors, are also verified simulation results.