Genetic-Algorithm-Based Sliding-Mode Stabilization for Networked Switched Systems With Unreliable Channels

초록

This article aims to establish a sliding-mode stabilization strategy for discrete networked switched systems subject to unreliable channels. A channel fading model is proposed to characterize the underlying unreliable channels under the influence of signal reflection and obstacle shadows in a networked environment. Under the framework of a common sliding-mode surface, a novel sliding-mode control (SMC) mechanism is designed for the system. Subsequently, the average dwell time approach is used to construct sufficient conditions to ensure the mean-square exponential stability of networked switched system models. The state trajectory can reach the bounded sliding region and then remain unchanged. Utilizing the objective performance of optimal reachability, an effective SMC strategy is constructed by using the binary genetic algorithm, which can minimize the sliding region by identifying the ideal sliding gain. The effectiveness of control is demonstrated through the GE-90 aeroengine model.

키워드