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Titlebook: LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay; Chong Lin,Qing-Guo Wang,Yong He Book 2007 Springer-Ve

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樓主: 小故障
11#
發(fā)表于 2025-3-23 12:26:05 | 只看該作者
Introduction,zzy set theory has grown to become a major scientific domain. A fuzzy system is referred to as any static or dynamic system which makes use of fuzzy logic and of the corresponding mathematical framework. Such a system allows a gradual and continuous transition, say, from 0 to 1, rather than a crisp
12#
發(fā)表于 2025-3-23 15:53:36 | 只看該作者
Stability Analysis of T-S Fuzzy Systems,sis based on the fuzzy weighting-dependent Lyapunov function method. This method provides the state-of-the-art of stability results that reduce the conservatism entailed in previous results using quadratic Lyapunov-Krasovskii functionals. Also, we will present an augmented fuzzy weighting-dependent
13#
發(fā)表于 2025-3-23 19:40:41 | 只看該作者
Variable Structure Control for T-S Fuzzy Systems,pproach. Both cases of matched uncertainties and mismatched uncertainties in the state variables are considered. We will use appropriate Lyapunov functionals and Razumikhin Theorem [44] to solve the stabilization problem. We will present various control schemes in terms of LMIs for the VSC design.
14#
發(fā)表于 2025-3-24 01:22:00 | 只看該作者
15#
發(fā)表于 2025-3-24 03:57:25 | 只看該作者
16#
發(fā)表于 2025-3-24 10:03:35 | 只看該作者
17#
發(fā)表于 2025-3-24 14:01:57 | 只看該作者
18#
發(fā)表于 2025-3-24 17:35:18 | 只看該作者
Observer-Based Fuzzy Control: Delay-Dependent Method, choice of Lyaponuv-Krasovskii functionals which incorporate the intersections among fuzzy local systems. Illustrative examples are given to show the effectiveness of the present delay-dependent result.
19#
發(fā)表于 2025-3-24 21:26:37 | 只看該作者
0170-8643 raph on T-S fuzzy systems with time delaySinceinitiatedbyLot?A. Zadehin1965,fuzzysettheoryhastriggeredacons- erably large body of areas to blossom. A fuzzy system is, in a very broad sense, anyfuzzylogic-basedsystemwherefuzzylogiccanbeusedeither asthebasisfor the representation of di?erent forms of
20#
發(fā)表于 2025-3-25 00:41:15 | 只看該作者
Introduction, for each element, which is a real number on [0, 1]. The membership function of a set maps each element to its degree. Accordingly, fuzzy logic is an extension of ordinary logic, which can represent fuzzy implications. There are a lot of publications to address the details of fuzzy theory, see, e.g., [65][66][67][71][124][168][176].
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