Decentralized Sampled-Data Fuzzy Observer Design for Nonlinear Interconnected Systems

Geun Bum Koo, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

This paper presents the decentralized sampled-data fuzzy observer design techniques for nonlinear interconnected systems, which are assumed to be composed of fuzzy subsystems and unknown interconnections. To design the decentralized fuzzy observer, the estimation error dynamics is obtained, and the performance function is defined. Based on the estimation error dynamics and the performance function, the continuous-time decentralized fuzzy observer is first proposed to minimize the interconnection bound to attenuation degree ratio. In addition, the decentralized sampled-data fuzzy observers are designed by using the approximate discretization and the exact discrete-time design approaches, respectively. Each proposed observer design technique is formulated into the optimal problems with the linear matrix inequalities. Finally, several simulation examples show the validity and superiority of the proposed observer design techniques by comparing with the conventional techniques.

Original languageEnglish
Article number7210153
Pages (from-to)661-674
Number of pages14
JournalIEEE Transactions on Fuzzy Systems
Volume24
Issue number3
DOIs
Publication statusPublished - 2016 Jun 1

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Fuzzy Observer
Interconnected Systems
Observer Design
Decentralized
Large scale systems
Nonlinear Systems
Estimation Error
Interconnection
Error analysis
Attenuation
Matrix Inequality
Continuous Time
Linear Inequalities
Subsystem
Discrete-time
Linear matrix inequalities
Discretization
Minimise
Unknown
Simulation

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

Cite this

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Decentralized Sampled-Data Fuzzy Observer Design for Nonlinear Interconnected Systems. / Koo, Geun Bum; Park, Jin Bae; Joo, Young Hoon.

In: IEEE Transactions on Fuzzy Systems, Vol. 24, No. 3, 7210153, 01.06.2016, p. 661-674.

Research output: Contribution to journalArticle

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