An observer-based decentralized tracker for sampled-data systems: an evolutionary programming approach |
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Authors: | S M Guo Z H Peng |
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Affiliation: | 1. National Cheng-Kung University, Department of Computer Science and Information Engineering , Tainan, 701, Taiwan guosm@mail.ncku.edu.tw;3. National Cheng Kung University, Department of Electrical Engineering, Control System Laboratory , Tainan, 701, Taiwan |
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Abstract: | Decentralized control is a practical control methodology for large-scale multivariable systems. This paper presents a LQR design methodology to design a state-feedback decentralized high-gain analog controller, which gives the desired decentralized performance of the controlled analog system. Then, a prediction-based decentralized low-gain digital controller is developed from the decentralized high-gain analog controller for the hybrid controlled system. As a result, the complexity and cost of hardware implementation of the controller can be significantly reduced. In order to improve the performance of the decentralized hybrid system, the evolutionary programming (EP) is employed to tune the observer-based decentralized tracker. Some examples are presented to illustrate the developed design methodology. |
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Keywords: | Digital redesign Decentralized control Evolutionary programming Linear-quadratic regulator |
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