Modeling of decentralized linear observer and tracker for a class of unknown interconnected large-scale sampled-data nonlinear systems with closed-loop decoupling property

  • Authors:

  • Jason Sheng-Hong Tsai;Nien-Tsu Hu;Po-Chuan Yang;Shu-Mei Guo;Leang-San Shieh

  • Affiliations:

  • Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan, ROC;Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan, ROC;Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan, ROC;Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan 701, Taiwan, ROC;Department of Electrical and Computer Engineering, University of Houston, Houston, TX 77204-4005, USA

  • Venue:
  • Computers & Mathematics with Applications
  • Year:
  • 2010

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Abstract

A novel low-order modeling of decentralized linear observer-based tracker is presented in this paper for a class of unknown interconnected large-scale sampled-data nonlinear systems with closed-loop decoupling property. The appropriate (low-)order decentralized linear observer is determined by the off-line observer/Kalman filter identification (OKID) methodology and has been further improved based on the digital-redesign approach. Then the decentralized digital-redesign tracker with the high gain property is proposed, so that the closed-loop system has the decoupling property. The proposed approach is quite simple and effective for the complicate interconnected large-scale sampled-data system with known or unknown system.