An observer-based decentralized tracker for sampled-data systems: An evolutionary programming approach

S. M. Guo, Z. H. Peng

研究成果: Review article同行評審

8 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)421-449
頁數29
期刊International Journal of General Systems
34
發行號4
DOIs
出版狀態Published - 2005 八月

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 理論電腦科學
  • 資訊系統
  • 建模與模擬
  • 電腦科學應用

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