Title :
Stabilization design of networked control systems
Author :
Liu, Lei-Ming ; Tong, Chao-Nan
Author_Institution :
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing
Abstract :
The model of NCS(Networked Control Systems) with dynamic output feedback controllers is presented when the network-induced random time-varying delays are bounded and the upper bound of which is longer than one sampling period. Based on this, this paper discretizes the model of continuous-time systems and applies augmented state-space method to it, and then establishes a discrete-time jump system model governed by a finite state Markov process. Appling interior-point algorithm to design stabilizing controllers for the system, this paper proposed an approach to get the feasible initial solution. Theoretical analysis and simulation on a cart and inverted pendulum with random time delay show that the dynamic output feedback controllers can make the system stable.
Keywords :
Markov processes; continuous time systems; delay systems; discrete time systems; distributed control; random processes; stability; state-space methods; time-varying systems; continuous-time system; discrete-time jump system model; dynamic output feedback controller; finite state Markov process; interior-point algorithm; networked control system; random time-varying delay; stabilization design; state-space method; Algorithm design and analysis; Control system synthesis; Control systems; Markov processes; Networked control systems; Output feedback; Sampling methods; State-space methods; Time varying systems; Upper bound; Delay; Dynamic output feedback controller; Jump linear system; Networked control system;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620759
