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Genetic Algorithm and Time-Scale Separation on the Reduced-Order Observer-Based Control Design for a Class of Discrete Systems

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Opportunities and Challenges for Next-Generation Applied Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 214))

Abstract

The design of the control for discrete multiple time-delay systems subject to input constraint is considered in this paper. Genetic algorithms will be applied to adjust the control gain and then a observer-based feedback control will be designed to stabilize the closed-loop system with input constraint. Moreover, using the two time-scale property of the system, the slow and fast subsystem of the discrete systems will be derived. Then the controls are design for the two subsystems such that the two subsystems are both stabile. The control of the original full-order system is then derived from the two controls. Finally, an application example will also be given in this paper to illustrate the results of this paper.

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Pan, ST., Chen, CF. (2009). Genetic Algorithm and Time-Scale Separation on the Reduced-Order Observer-Based Control Design for a Class of Discrete Systems. In: Chien, BC., Hong, TP. (eds) Opportunities and Challenges for Next-Generation Applied Intelligence. Studies in Computational Intelligence, vol 214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92814-0_20

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  • DOI: https://doi.org/10.1007/978-3-540-92814-0_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92813-3

  • Online ISBN: 978-3-540-92814-0

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