Title :
A control engineering approach to the control and synchronization of chaos using the MCS algorithm
Author :
Di Berbardo, M. ; Stoten, David P.
Author_Institution :
Dept. of Eng. Math., Bristol Univ., UK
Abstract :
This paper is concerned with the problem of controlling and synchronizing chaotic systems through an appropriately synthesized adaptive strategy, namely the minimal control synthesis (MCS) algorithm is used to solve the stated problem. First, a traditional control strategy is used, which does not rely on any explicit property of chaotic systems, except for the boundedness of chaotic evolution. Next, by assuming the plant to be chaotic, some properties of chaotic systems are exploited to achieve the control, as in the Ott-Grebogi-Yorke (OGY) method (1990). Hence, an adaptive control engineering approach is merged with the OGY method to control and synchronize chaotic systems
Keywords :
adaptive control; chaos; control system synthesis; model reference adaptive control systems; robust control; state feedback; synchronisation; OGY method; adaptive control; chaos control; chaotic systems; control engineering; minimal control synthesis; state feedback; synchronization; Adaptive control; Automatic control; Chaos; Control engineering; Control system synthesis; Control systems; Linear feedback control systems; Mechanical engineering; Programmable control; State feedback;
Conference_Titel :
Control of Oscillations and Chaos, 1997. Proceedings., 1997 1st International Conference
Conference_Location :
St. Petersburg
Print_ISBN :
0-7803-4247-X
DOI :
10.1109/COC.1997.626634