Title :
On Model-Based Networked Control for Singularly Perturbed Systems
Author :
Hongwang, Yu ; Yufan, Zheng
Author_Institution :
Univ. of Shanghai, Shanghai
fDate :
May 30 2007-June 1 2007
Abstract :
In this paper the control of two-time-scale plant, where the sensor is connected to a linear controller and actuator via a network, is addressed. The slow and fast systems of singularly perturbed systems are used to produce an estimation of the plant state between transmission instants, by which one can reduce the use of network. The approximate solutions of the systems are derived and it is globally shown that the whole systems via the network control are asymptotically stable as long as their slow and fast systems are both stable.
Keywords :
actuators; approximation theory; asymptotic stability; linear systems; neurocontrollers; sensors; singularly perturbed systems; actuator; approximate solutions; asymptotic stability; linear controller; model-based networked control; plant state estimation; singularly perturbed systems; two-time-scale plant control; Automatic control; Bandwidth; Communication networks; Communication system control; Control systems; Feedback control; Hydraulic actuators; Mathematics; Networked control systems; Sensor systems; Hurwitz; model-based; networked contriol systems; singularly perturbed systems;
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
DOI :
10.1109/ICCA.2007.4376620