Dissipative Sampled-Data Control for High-Speed Train Systems With Quantized Measurements
Xiao Cai, Kaibo Shi, Shouming Zhong, Xuanrong Pang
Abstract
This study focuses on the novel dissipative sampled-data control mechanism for high-speed trains systems (HSTSs) with quantized measurements. Firstly, an improved time-delay-product function (TDPF) is introduced for developing a new Lyapunov-Krasovskii functional (LKF), which fully considers the delay information and the delay derivative information. Then, by combining LKF theory with new analysis techniques, relaxed conditions are established. Furthermore, the desired dissipative sampled-data controller with state quantization (DSDCSQ) is designed to ensure that HSTS is asymptotically stable under an optimizing performance index. Finally, the Japan Shinkansen high-speed trains (HSTs) example is given to illustrate the effectiveness.