Fuzzy control design for nonlinear dynamic systems using constrained H ∞/LTR

Andri Ashfahani; Shun Feng Su; Trihastuti Agustinah

doi:10.1109/iFuzzy.2013.6825402

Fuzzy control design for nonlinear dynamic systems using constrained H _∞/LTR

Andri Ashfahani, Shun Feng Su, Trihastuti Agustinah

Laboratory of Control and Automation

National Taiwan University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Stabilization problems for nonlinear systems are difficult, especially when not all the state are available. This study proposed a combination of constrained H_∞ and loop transfer recovery (LTR) to control nonlinear systems via Takagi-Sugeno fuzzy model. First, the Takagi-Sugeno fuzzy model is employed to represent a nonlinear system. Next, based on the fuzzy model, a Kalman filter is developed. The controller gain is calculated by using constrained H_∞ theory. LTR is then applied to reinforce the robust property of the controller. Simulation results for application to a two-link robot system are demonstrated. The performance of the designed system is assessed in the frequency domain and via the time-domain simulation.

Original language	English
Title of host publication	iFUZZY 2013 - 2013 International Conference on Fuzzy Theory and Its Applications
Publisher	IEEE Computer Society
Pages	13-18
Number of pages	6
ISBN (Print)	9781479903863
DOIs	https://doi.org/10.1109/iFuzzy.2013.6825402
Publication status	Published - 2013
Event	iFUZZY 2013 - 2013 International Conference on Fuzzy Theory and Its Applications - Taipei, Taiwan, Province of China Duration: 6 Dec 2013 → 8 Dec 2013

Publication series

Name	iFUZZY 2013 - 2013 International Conference on Fuzzy Theory and Its Applications

Conference

Conference	iFUZZY 2013 - 2013 International Conference on Fuzzy Theory and Its Applications
Country/Territory	Taiwan, Province of China
City	Taipei
Period	6/12/13 → 8/12/13

Keywords

LTR
T-S fuzzy model

Access to Document

10.1109/iFuzzy.2013.6825402

Cite this

Ashfahani, A., Su, S. F., & Agustinah, T. (2013). Fuzzy control design for nonlinear dynamic systems using constrained H _∞/LTR. In iFUZZY 2013 - 2013 International Conference on Fuzzy Theory and Its Applications (pp. 13-18). Article 6825402 (iFUZZY 2013 - 2013 International Conference on Fuzzy Theory and Its Applications). IEEE Computer Society. https://doi.org/10.1109/iFuzzy.2013.6825402

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title = "Fuzzy control design for nonlinear dynamic systems using constrained H ∞/LTR",

abstract = "Stabilization problems for nonlinear systems are difficult, especially when not all the state are available. This study proposed a combination of constrained H∞ and loop transfer recovery (LTR) to control nonlinear systems via Takagi-Sugeno fuzzy model. First, the Takagi-Sugeno fuzzy model is employed to represent a nonlinear system. Next, based on the fuzzy model, a Kalman filter is developed. The controller gain is calculated by using constrained H∞ theory. LTR is then applied to reinforce the robust property of the controller. Simulation results for application to a two-link robot system are demonstrated. The performance of the designed system is assessed in the frequency domain and via the time-domain simulation.",

keywords = "LTR, T-S fuzzy model",

author = "Andri Ashfahani and Su, {Shun Feng} and Trihastuti Agustinah",

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Ashfahani, A, Su, SF & Agustinah, T 2013, Fuzzy control design for nonlinear dynamic systems using constrained H _∞/LTR. in iFUZZY 2013 - 2013 International Conference on Fuzzy Theory and Its Applications., 6825402, iFUZZY 2013 - 2013 International Conference on Fuzzy Theory and Its Applications, IEEE Computer Society, pp. 13-18, iFUZZY 2013 - 2013 International Conference on Fuzzy Theory and Its Applications, Taipei, Taiwan, Province of China, 6/12/13. https://doi.org/10.1109/iFuzzy.2013.6825402

Fuzzy control design for nonlinear dynamic systems using constrained H _∞/LTR. / Ashfahani, Andri; Su, Shun Feng; Agustinah, Trihastuti.
iFUZZY 2013 - 2013 International Conference on Fuzzy Theory and Its Applications. IEEE Computer Society, 2013. p. 13-18 6825402 (iFUZZY 2013 - 2013 International Conference on Fuzzy Theory and Its Applications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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