Title :
Stability of networked control system with multi-rate input sampling
Author :
Wang, Zhi-wen ; Guo, Ge
Author_Institution :
Coll. of Electr. & Inf. Eng., Lanzhou Univ. of Technol., Lanzhou
Abstract :
In this paper, stability of networked control systems with multi-rate input sampling is considered. By introducing lifting technique, the system is transformed into a single-rate sampling system. State feedback control of the system is studied. Necessary and sufficient conditions for system to be globally exponentially stable are derived. Then, the model error influence on the maximum communication interval is investigated. It is also to be noted that the smaller the model error, the larger the maximum transmitting time. Simulation examples are used to illustrate the validity of the main results.
Keywords :
asymptotic stability; sampling methods; state feedback; globally exponentially stable; lifting technique; maximum communication interval; multirate input sampling; networked control system stability; state feedback control; Bandwidth; Communication system control; Control systems; Cybernetics; Educational institutions; Machine learning; Networked control systems; Sampling methods; Stability; State feedback; Delay; Lifting technique; MB-NCS; State feedback;
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.2008.4620632