期刊
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
卷 350, 期 2, 页码 347-357出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jfranklin.2012.11.011
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资金
- National Natural Science Foundation of Peoples Republic of China [61104007, 61074040, 61273091]
- China Postdoctoral Science Foundation [2012M511465]
- Shandong Postdoctoral Science Foundation [201203031]
- Young and Middle-Aged Scientists Research Foundation of Shandong Province [BS2011DX013]
- Qufu Normal University
- Youth Foundation of Qufu Normal University [XJ201204]
This paper is concerned with the problem of synchronization controller design for Genesio-Tesi chaotic systems with plant uncertainties and dead-zone input. The upper bounds of plant uncertainties are partially known, while dead-zone nonlinearity is completely unknown. The prior knowledge on the parameters in the uncertainties and dead-zone is not required to be known in advance. A novel control law with adaptive methodology is proposed to compensate for input nonlinearity. An adaptive law with exponent function is designed to estimate the unknown lumped parameters. It is shown that complete synchronization between two identical Genesio-Tesi chaotic systems is achieved and the synchronization errors converge to zero exponentially. Numerical studies are provided to illustrate the effectiveness of the presented scheme. (C) 2012 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
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