Title :
Networked predictive control and its simple application into a class of bilinear systems
Author :
An Bao-Ran ; Wang Xiao-Li ; Liu Guo-Ping
Author_Institution :
Inst. of Comput. Applic., China Acad. of Eng. Phys., Mianyang, China
Abstract :
With the rapid development of control, communication, and micro-electronics technology, networked control systems (NCSs) has attracted considerable attention in the systems and control community. This paper provides the recent research developments of the networked predictive control systems. According to network locations and controlled plants complexity, two different predictive control structures are given: one is for a networked one-agent system, and the other is for a networked multi-agent system. Furthermore, the networked predictive control strategy is applied into networked bilinear systems in a simple way. The simulated examples have been given to illustrate its efficiency.
Keywords :
bilinear systems; networked control systems; predictive control; NCS; controlled plants complexity; network locations; networked bilinear systems; networked multiagent system; networked one-agent system; networked predictive control systems; predictive control structures; Delays; Networked control systems; Nonlinear systems; Predictive control; Stability criteria; Bilinear Systems; Data Dropout; Networked Predictive Control Structure; Time Delay;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162577