2012
DOI: 10.1016/j.asoc.2012.04.025
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H∞ output tracking fuzzy control for nonlinear systems with time-varying delay

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Cited by 12 publications
(9 citation statements)
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“…Using then the Schur complement, we complete the proof and we get an optimization problem involving LMI, as illustrated in (27).…”
Section: □ 4 Complexitymentioning
confidence: 99%
See 1 more Smart Citation
“…Using then the Schur complement, we complete the proof and we get an optimization problem involving LMI, as illustrated in (27).…”
Section: □ 4 Complexitymentioning
confidence: 99%
“…In particular, the design of the robust fuzzy control of the T-S fuzzy model has received considerable interest in the literature [3,[22][23][24]. Based on the PDC approach, some researchers treated the stability analysis, stabilization, and tracking control problems of this class of systems [25][26][27].…”
Section: Introductionmentioning
confidence: 99%
“…We will use this additional information to provide less conservative results. For this goal, LKFs (14) can be written as, V (e(t)) = V (e(t)) + …”
Section: Preposition 52 Consider the Fpe Constructed In (31) If Oumentioning
confidence: 99%
“…That is, H∞ performance index is small, which shows the effectiveness of our results. Moreover, in the recent study [14], authors have studied the H∞ performance index of CSTR model but not for time varying delay as the condition does not depend on any parameter related to time varying delays. It must be noted that our result is more generalized and less conservative than [14] which can only be used for tracking models with constant delays.…”
Section: Remark 63mentioning
confidence: 99%
“…Not only the stabilisation, but also the performance of the closed-loop system has been considered in the design of a PDC for a T-S fuzzy model of an initial non-linear system. One of the most important problems is to address fuzzy H ∞ -tracking control for T-S fuzzy systems, see, for example [5][6][7][8][9][10][11][12][13] for different approaches to solve this problem. In [5][6][7][8] and [13], the authors offer a doublestep numerical procedure to find the controllers and the observers gains in the PDC control laws.…”
Section: Introductionmentioning
confidence: 99%