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.
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.