Further results on robust fuzzy dynamic systems with LMI 𝒟-stability constraints
Wudhichai Assawinchaichote (2014)
International Journal of Applied Mathematics and Computer Science
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Wudhichai Assawinchaichote (2014)
International Journal of Applied Mathematics and Computer Science
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Chen, P.C., Chen, C.W., Chiang, W.L. (2008)
Mathematical Problems in Engineering
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Reda Boukezzoula, Sylvie Galichet, Laurent Foulloy (2007)
International Journal of Applied Mathematics and Computer Science
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This paper examines the inverse control problem of nonlinear systems with stable dynamics using a fuzzy modeling approach. Indeed, based on the ability of fuzzy systems to approximate any nonlinear mapping, the nonlinear system is represented by a Takagi-Sugeno (TS) fuzzy system, which is then inverted for designing a fuzzy controller. As an application of the proposed inverse control methodology, two popular control structures, namely, feedback linearization and Nonlinear Internal Model...
Yu, Jinpeng, Gao, Junwei, Ma, Yumei, Yu, Haisheng (2010)
Mathematical Problems in Engineering
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Yeh, Ken, Chen, Cheng-Wu (2010)
Mathematical Problems in Engineering
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Tomasz Zubowicz, Mietek A. Brdyś (2013)
International Journal of Applied Mathematics and Computer Science
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This paper addresses the problem of model-based global stability analysis of discrete-time Takagi-Sugeno multiregional dynamic output controllers with static antiwindup filters. The presented analyses are reduced to the problem of a feasibility study of the Linear Matrix Inequalities (LMIs), derived based on Lyapunov stability theory. Two sets of LMIs are considered candidate derived from the classical common quadratic Lyapunov function, which may in some cases be too conservative, and...
Jarosław Smoczek (2013)
International Journal of Applied Mathematics and Computer Science
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A hybrid method combining an evolutionary search strategy, interval mathematics and pole assignment-based closed-loop control synthesis is proposed to design a robust TSK fuzzy controller. The design objective is to minimize the number of linear controllers associated with rule conclusions and tune the triangular-shaped membership function parameters of a fuzzy controller to satisfy stability and desired dynamic performances in the presence of system parameter variation. The robust performance...
Haiping Du, Nong Zhang (2010)
Control and Cybernetics
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Ruiyun Qi, Mietek A. Brdys (2009)
International Journal of Applied Mathematics and Computer Science
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In this paper, a unified nonlinear modeling and control scheme is presented. A self-structuring Takagi-Sugeno (T-S) fuzzy model is used to approximate the unknown nonlinear plant based on I/O data collected on-line. Both the structure and the parameters of the T-S fuzzy model are updated by an on-line clustering method and a recursive least squares estimation (RLSE) algorithm. The rules of the fuzzy model can be added, replaced or deleted on-line to allow a more flexible and compact...