Piecewise Lyapunov Stability Conditions of Fuzzy Systems
Piecewise Lyapunov Stability Conditions of Fuzzy Systems
In this paper we address the stability of a class of nonlinear fuzzy systems that can be decomposed into a set of local models characterised as Takagi-Sugeno models. This new approach includes a consideration of the input membership functions, via this a reduction in the number of candidate Lyapunov functions and associated linear matrix inequalities (LMIs) is produced. This approach significantly reduces the computational load associated with determining closed loop stability as the input dimension increases.
259-262
Ming, Feng
124509f7-e048-4ca7-8b3a-b710b4337478
J., Harris C.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
2001
Ming, Feng
124509f7-e048-4ca7-8b3a-b710b4337478
J., Harris C.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Ming, Feng and J., Harris C.
(2001)
Piecewise Lyapunov Stability Conditions of Fuzzy Systems.
IEEE Transactions on SMC, 31 (2), .
Abstract
In this paper we address the stability of a class of nonlinear fuzzy systems that can be decomposed into a set of local models characterised as Takagi-Sugeno models. This new approach includes a consideration of the input membership functions, via this a reduction in the number of candidate Lyapunov functions and associated linear matrix inequalities (LMIs) is produced. This approach significantly reduces the computational load associated with determining closed loop stability as the input dimension increases.
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Published date: 2001
Organisations:
Southampton Wireless Group
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Local EPrints ID: 252908
URI: http://eprints.soton.ac.uk/id/eprint/252908
PURE UUID: 3fad5250-5292-4fff-b2db-e58608a03381
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Date deposited: 20 Jun 2001
Last modified: 08 Jan 2022 02:39
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Author:
Feng Ming
Author:
Harris C. J.
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