Abstract
In this paper, in order to control uncertain chaotic system, an adaptive fuzzy control (AFC) scheme is developed for the multi-input/multi-output plants represented by the Takagi-Sugeno (T-S) fuzzy models. The proposed AFC scheme provides robust tracking of a desired signal for the T-S fuzzy systems with uncertain parameters. The developed control law and adaptive law guarantee the boundedness of all signals in the closed-loop system. In addition, the chaotic state tracks the state of the stable reference model (SRM) asymptotically with time for any bounded reference input signal. The suggested AFC design technique is applied to control of a uncertain Lorenz system based on T-S fuzzy model such os stabilization, synchronization and chaotic model following control (CMFC).
| Original language | English |
|---|---|
| Pages (from-to) | 2101-2117 |
| Number of pages | 17 |
| Journal | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences |
| Volume | E84-A |
| Issue number | 9 |
| Publication status | Published - 2001 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Signal Processing
- Computer Graphics and Computer-Aided Design
- Electrical and Electronic Engineering
- Applied Mathematics
Cite this
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Adaptive control of uncertain chaotic systems based on Takagi-Sugeno fuzzy models. / Park, C. W.; Lee, C. H.; Kim, Jaihie; Park, M.
In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E84-A, No. 9, 01.01.2001, p. 2101-2117.Research output: Contribution to journal › Article
TY - JOUR
T1 - Adaptive control of uncertain chaotic systems based on Takagi-Sugeno fuzzy models
AU - Park, C. W.
AU - Lee, C. H.
AU - Kim, Jaihie
AU - Park, M.
PY - 2001/1/1
Y1 - 2001/1/1
N2 - In this paper, in order to control uncertain chaotic system, an adaptive fuzzy control (AFC) scheme is developed for the multi-input/multi-output plants represented by the Takagi-Sugeno (T-S) fuzzy models. The proposed AFC scheme provides robust tracking of a desired signal for the T-S fuzzy systems with uncertain parameters. The developed control law and adaptive law guarantee the boundedness of all signals in the closed-loop system. In addition, the chaotic state tracks the state of the stable reference model (SRM) asymptotically with time for any bounded reference input signal. The suggested AFC design technique is applied to control of a uncertain Lorenz system based on T-S fuzzy model such os stabilization, synchronization and chaotic model following control (CMFC).
AB - In this paper, in order to control uncertain chaotic system, an adaptive fuzzy control (AFC) scheme is developed for the multi-input/multi-output plants represented by the Takagi-Sugeno (T-S) fuzzy models. The proposed AFC scheme provides robust tracking of a desired signal for the T-S fuzzy systems with uncertain parameters. The developed control law and adaptive law guarantee the boundedness of all signals in the closed-loop system. In addition, the chaotic state tracks the state of the stable reference model (SRM) asymptotically with time for any bounded reference input signal. The suggested AFC design technique is applied to control of a uncertain Lorenz system based on T-S fuzzy model such os stabilization, synchronization and chaotic model following control (CMFC).
UR - http://www.scopus.com/inward/record.url?scp=0035444391&partnerID=8YFLogxK
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M3 - Article
VL - E84-A
SP - 2101
EP - 2117
JO - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
JF - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
SN - 0916-8508
IS - 9
ER -