Adaptive Tracking Control for Switched Nonlinear Systems Subject to Input Delay and Saturation Using Multi-Dimensional Taylor Network Approach

Aiming at switched nonlinear systems subject to input delay and saturation, a novel adaptive control strategy is proposed. Firstly, a compensation system is designed, which solves the problem caused by input delay and saturation. Then, multi-dimensional Taylor network (MTN) is used to approximate the unknown nonlinear function. Secondly, an adaptive MTN control strategy based on backstepping technology is proposed, which ensure that all signals in the closed-loop system are bounded and the tracking error remains within a small neighborhood of the origin. Finally, two simulation examples are given to verify the effectiveness of the control strategy proposed in this article.