Model predictive control for networked control systems with arbitrary and bounded packet loss

作者：Tang Xiao Ming^*; Ding Bao Cang

来源：Systems Engineering and Electronics, 2011, 33(10): 2295-2300.

DOI：10.3969/j.issn.1001-506X.2011.10.30

• Augmented state space
• Closed loop stability
• Design approaches
• Discrete time linear systems
• Free control
• Infinite horizon control
• Model predictive control (MPC)
• Networked control systems
• Networked controls
• Parameterizing
• Robust stabilization
• Simulation example

For discrete-time linear systems, the stability of networked control, where arbitrary bounded packet loss occurs between the sensor and controller, and between the controller and actuator, is studied. By constructing the augmented state space model which characterizes all the possibilities of the packet loss, the stabilization of this system is transformed into the robust stabilization of a set of models. The Lyapunov method is applied for proving closed-loop stability. By parameterizing the infinite horizon control moves into one free control move followed by a state feedback law, a design approach to model predictive control (MPC) is proposed. A simulation example is given to illustrate the effectiveness of the proposed MPC.

• 出版日期2011