Supervisory fuzzy control for networked control systems

ICIC Express Letters

Volumn 3, Issue 2, 2009, Pages 233-240

  Mendez Monroy, Paul ^a   Benitez Perez, Hector ^b  

^a UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

^b Ciudad Universitaria   (Mexico)

Author keywords

Fuzzy control; Networked control system; Time delay

Indexed keywords

A PLANTS; FUZZY MODELS; FUZZY THEORY; INPUT-OUTPUT DATA; NETWORKED CONTROL SYSTEM; NETWORKED CONTROL SYSTEMS; SUPERVISORY CONTROL; SUPERVISORY CONTROL STRATEGY;

CONTROL; CONTROL SYSTEM ANALYSIS; DELAY CONTROL SYSTEMS; FUZZY CONTROL; SCADA SYSTEMS; TIME DELAY;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 67649560794     PISSN: 1881803X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (14)

1. B. Azimi-Sadjadi, Stability of networked control systems in the presence of packet losses, Proc. of the IEEE Conference on Decision and Control, Maui, Hawaii, USA, pp.676-681, 2003.
2. J.C.Eidson, M. Fischer, andJ.White, IEEE-1588 Standard for a Precision Clock Synchronization Protocol for Networked Measurement and Control Systems, IEEE Standard 1588, 2002.
3. E. Fridman and U. Shaked, Delay-dependent stability and Hoo control: Constant and time-varying delays, International Journal Control, vol.76-1, pp.48-60, 2003.
4. P. Gahinet, A. Nemirovski, A. J. Laub, and M. Chilali, LMI Control Toolbox-For Use with MATLAB, The MathWorks, Inc., Natick, MA, 1995.
5. P. E. Mendez and H. Benitez, Identification and control for discrete dynamics systems using space state recurrente fuzzy neural networks, Proc. of the Electronics, Robotics, and Automotive Mechanics Conference CERMA, pp.112-117, 2007.
6. J. Nilsson, Real-Time Control Systems with Delays, Ph.D. Thesis, Lund Institute of Technology, Dept. of Automatic Control, 1998.
7. K. Tanaka, T. Ikeda and H. O. Wang, Fuzzy regulators and fuzzy observers: Relaxed stability conditions and LMI-based designs, IEEE Trans. Fuzzy Systems, vol.6, no.2, 1998.
8. G.C. Walsh, H. Ye, and L. Bushnell, Stability analysis of networked control systems, Proc. of the American Control Conference, San Diego, USA, pp.2876-2880, 1999.
9. A. Tzes, G. Nikolakopoulos, and I. Koutroulis, Development and experimental verification of a mobile client-centric networked controlled system, Proc. of the European Control Conference, Cambridge, UK, 2003.
10. W. Zhang, Stability Analysis of Networked Control Systems,Ph.D. Thesis,Case Western Reserve University, 2001.
11. M. Yu, L. Wang, T. Chu, and F. Hao, An LMI approach to networked control systems with data packet dropout and transmission delays, International Journal of Hybrid Systems, vol.3, no.2-3, 2003.
12. Y. Wang and Z. Sun, H control of networked control systems via LMI approach, International Journal of Innovative Computing, Information and Control, vol.3, no.2, pp.343-352, 2007.
13. S. We, M. J. Er and Y. Gao, A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks, IEEE Trans. Fuzzy Systems, vol.4, no.4, pp.578-598, 2001.
14. X. Zhu, C. Hua and S. Wang, State feedback control design of networked control systems with time delay in the plant, International Journal of Innovative Computing, Information and Control, vol.4, no.2, pp.283-290, 2008.