Sampled-data-based dissipative control of T-S fuzzy systems

This paper investigates the problem of sampled-data-based dissipative control of Takagi–Sugeno (T-S) fuzzy systems. The sampling period is assumed to be varying within an interval. By making full use of realistic information about the whole sampling interval, we propose a novel complete sampling-int...

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Main Authors: Zeng, H., Teo, Kok Lay, He, Y., Wang, W.
Format: Journal Article
Published: Elsevier 2019
Online Access:http://hdl.handle.net/20.500.11937/72619
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author Zeng, H.
Teo, Kok Lay
He, Y.
Wang, W.
author_facet Zeng, H.
Teo, Kok Lay
He, Y.
Wang, W.
author_sort Zeng, H.
building Curtin Institutional Repository
collection Online Access
description This paper investigates the problem of sampled-data-based dissipative control of Takagi–Sugeno (T-S) fuzzy systems. The sampling period is assumed to be varying within an interval. By making full use of realistic information about the whole sampling interval, we propose a novel complete sampling-interval-dependent looped function, which depends not only on the interval from x(t) to x(tk) but also on the interval from x(t) to x(tk+1). Based on this function, a sufficient condition is established, ensuring the considered system strictly (Q,S,R)-?-dissipative. Furthermore, a approach to design desired sampled-data controllers is proposed. It is applied to solve the problems of a truck-trailer and an inverted pendulum. From the results obtained, we see that this approach is highly effective.
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format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T10:53:18Z
publishDate 2019
publisher Elsevier
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spelling curtin-20.500.11937-726192019-03-27T02:08:42Z Sampled-data-based dissipative control of T-S fuzzy systems Zeng, H. Teo, Kok Lay He, Y. Wang, W. This paper investigates the problem of sampled-data-based dissipative control of Takagi–Sugeno (T-S) fuzzy systems. The sampling period is assumed to be varying within an interval. By making full use of realistic information about the whole sampling interval, we propose a novel complete sampling-interval-dependent looped function, which depends not only on the interval from x(t) to x(tk) but also on the interval from x(t) to x(tk+1). Based on this function, a sufficient condition is established, ensuring the considered system strictly (Q,S,R)-?-dissipative. Furthermore, a approach to design desired sampled-data controllers is proposed. It is applied to solve the problems of a truck-trailer and an inverted pendulum. From the results obtained, we see that this approach is highly effective. 2019 Journal Article http://hdl.handle.net/20.500.11937/72619 10.1016/j.apm.2018.08.012 Elsevier restricted
spellingShingle Zeng, H.
Teo, Kok Lay
He, Y.
Wang, W.
Sampled-data-based dissipative control of T-S fuzzy systems
title Sampled-data-based dissipative control of T-S fuzzy systems
title_full Sampled-data-based dissipative control of T-S fuzzy systems
title_fullStr Sampled-data-based dissipative control of T-S fuzzy systems
title_full_unstemmed Sampled-data-based dissipative control of T-S fuzzy systems
title_short Sampled-data-based dissipative control of T-S fuzzy systems
title_sort sampled-data-based dissipative control of t-s fuzzy systems
url http://hdl.handle.net/20.500.11937/72619