Title :
Robust H∞ state feedback control of networked control systems with congestion control
Author :
Rasool, Fahad ; Sing Kiong Nguang ; Saat, M.S.M.D. ; Jie Wu ; Guangbo Zeng
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Auckland, Auckland, New Zealand
Abstract :
This paper examines the problem of robust state feedback control of networked control systems with a simple congestion control scheme. This simple congestion control scheme is based on comparing current measurements with last transmitted measurements. If their difference is less than a prescribed percentage of the current measurements then no measurement is transmitted to the controller. The controller always uses the last transmitted measurements to control the system. With this simple congestion control scheme, a robust H∞ state feedback controller design methodology is developed based on the Lyapunov-krasovskii functional approach. Sufficient conditions for the existence of delay mode dependent controllers are given in terms of bilinear matrix inequalities (BMIs). These BMIs are converted into quasi convex linear matrix inequalities (LMIs) and solved by using the cone complementarity linearization algorithm. The effectiveness of the simple congestion control in terms of reducing the network´s bandwidth is elaborated using simulation examples.
Keywords :
H∞ control; control system synthesis; delays; electric current measurement; linear matrix inequalities; linearisation techniques; networked control systems; robust control; state feedback; BMI; Lyapunov-krasovskii functional approach; bilinear matrix inequalities; cone complementarity linearization algorithm; current measurements; delay mode dependent controllers; last transmitted measurements; network bandwidth reduction; networked control systems; quasiconvex LMI; quasiconvex linear matrix inequalities; robust H∞ state feedback controller design; simple congestion control scheme; Bandwidth; Current measurement; Delays; Linear matrix inequalities; Markov processes; Robustness; State feedback; Congestion Control; Markov Chain; Networked Control Systems;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
DOI :
10.1109/ICARCV.2012.6485158