Robust Control for T-S Fuzzy Multi-particle Model of High-speed Train with Disturbances and Time-varying Delays View Full Text


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Article Info

DATE

2022-08-27

AUTHORS

Rui Shi, Guangtian Shi

ABSTRACT

This paper concerns the networked control issue of the speed and displacement of high-speed train (HST) with two independent time-varying delays in presence both in coupler forces and data transmission procedures. The dynamic of high-speed train is firstly described by a group of multiple particle models based on Takagi-Sugeno (TS) fuzzy descriptions. Afterwards, the system states are measured by the sensor and further transmitted to the remote controller via communication network. By using the available time-delayed state information, an output feedback control is mainly proposed. Since the process and network time-varying delays are simultaneously involved, a mode-dependent Lyapunov-Krasovskii functional (LKF) is constructed for achieving the mean-square exponential asymptotic stability (MSEAS) of the closed-loop systems. By assisting of a linear decoupling method, the controller design method is conveniently obtained. Finally, a numerical example is also provided to illustrate the effectiveness of the proposed method. More... »

PAGES

3063-3074

References to SciGraph publications

  • 2020-02-04. Barrier Lyapunov Function Based Adaptive Cross Backstepping Control for Nonlinear Systems with Time-varying Partial State Constraints in INTERNATIONAL JOURNAL OF CONTROL, AUTOMATION AND SYSTEMS
  • 2019-11-28. Optimal Tracking Performance of NCSs with Time-delay and Encoding-decoding Constraints in INTERNATIONAL JOURNAL OF CONTROL, AUTOMATION AND SYSTEMS
  • 2020-10-21. Model-based, Distributed, and Cooperative Control of Planar Serial-link Manipulators in INTERNATIONAL JOURNAL OF CONTROL, AUTOMATION AND SYSTEMS
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