Mixed-time T-S fuzzy optimal estimator for target tracking

Sun Young Noh, Jin Bae Park, Young Hoon Joo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper is concerned with the mixed-time fuzzy optimal estimator for the target tracking. The proposed method takes account of behaviour for target motion in continuous time and system measurement in discrete time. The overall dynamic of system in continuous-time is discretised by using Takagi-Sugeno(T-S) fuzzy models. Based on the fuzzy model the fuzzy estimation is studied. Then the error state of the filtering process is means square bounded. A basis dependent Lyapunov function approach is developed to design the fuzzy filter and a filter gain is minimized by using some linear matrix inequalities(LMIs) constraints. A numerical example is provided to demonstrate various aspects of theoretical results.

Original languageEnglish
Title of host publicationFUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
Pages1994-1998
Number of pages5
DOIs
Publication statusPublished - 2011 Sep 27
Event2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 - Taipei, Taiwan, Province of China
Duration: 2011 Jun 272011 Jun 30

Other

Other2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
CountryTaiwan, Province of China
CityTaipei
Period11/6/2711/6/30

Fingerprint

Target Tracking
Target tracking
Continuous Time
Fuzzy filters
Fuzzy Filter
Estimator
Takagi-Sugeno Fuzzy Model
Continuous System
Lyapunov functions
Inequality Constraints
Fuzzy Model
Linear matrix inequalities
Mean Square
Lyapunov Function
Matrix Inequality
Linear Inequalities
Discrete-time
Filtering
Filter
Numerical Examples

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence
  • Applied Mathematics
  • Theoretical Computer Science

Cite this

Noh, S. Y., Park, J. B., & Joo, Y. H. (2011). Mixed-time T-S fuzzy optimal estimator for target tracking. In FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings (pp. 1994-1998). [6007671] https://doi.org/10.1109/FUZZY.2011.6007671
Noh, Sun Young ; Park, Jin Bae ; Joo, Young Hoon. / Mixed-time T-S fuzzy optimal estimator for target tracking. FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings. 2011. pp. 1994-1998
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Noh, SY, Park, JB & Joo, YH 2011, Mixed-time T-S fuzzy optimal estimator for target tracking. in FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings., 6007671, pp. 1994-1998, 2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011, Taipei, Taiwan, Province of China, 11/6/27. https://doi.org/10.1109/FUZZY.2011.6007671

Mixed-time T-S fuzzy optimal estimator for target tracking. / Noh, Sun Young; Park, Jin Bae; Joo, Young Hoon.

FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings. 2011. p. 1994-1998 6007671.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - This paper is concerned with the mixed-time fuzzy optimal estimator for the target tracking. The proposed method takes account of behaviour for target motion in continuous time and system measurement in discrete time. The overall dynamic of system in continuous-time is discretised by using Takagi-Sugeno(T-S) fuzzy models. Based on the fuzzy model the fuzzy estimation is studied. Then the error state of the filtering process is means square bounded. A basis dependent Lyapunov function approach is developed to design the fuzzy filter and a filter gain is minimized by using some linear matrix inequalities(LMIs) constraints. A numerical example is provided to demonstrate various aspects of theoretical results.

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Noh SY, Park JB, Joo YH. Mixed-time T-S fuzzy optimal estimator for target tracking. In FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings. 2011. p. 1994-1998. 6007671 https://doi.org/10.1109/FUZZY.2011.6007671