networked control systems;
distributed parameter systems;
uncertain systems;
state feedback;
asymptotic stability;
Lyapunov methods;
control system synthesis;
closed loop systems;
linear matrix inequalities;
observers;
numerical simulations;
observer design problem;
closed-loop networked systems;
exponentially mean square stability;
output feedback control problem;
dynamic feedback controller design;
common quadratic Lyapunov function;
state feedback control;
bounded channel uncertainty;
bounded random packet loss;
NCS;
OUTPUT-FEEDBACK CONTROL;
LINEAR-SYSTEMS;
PREDICTIVE CONTROL;
SENSOR NETWORKS;
STABILIZATION;
D O I:
10.1049/iet-cta.2016.0294
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
This study considers the control problem of networked control systems (NCSs) concerning both bounded channel uncertainty and packet loss. First, the authors deal with the problems of state feedback control for NCSs concerning both bounded random packet loss and channel uncertainty. Based on a previous work which copes with packet loss only, a classic model is used to describe the NCS with both packet loss and channel uncertainty in an unified framework. The stability conditions of NCSs are given by a common quadratic Lyapunov function and an approach is given to design the dynamic feedback controller via solving linear matrix inequalities. Second, the problems of output feedback control for NCSs concerned both bounded random packet loss and channel uncertainty are considered. A new sufficient condition is developed to guarantee the exponentially mean square stability of closed-loop networked systems and by using the stability theory, the controller and observer design problem is solved. Finally, numerical simulations and practical experiments are given to show the effectiveness of both approaches.