2010
DOI: 10.1016/j.ins.2010.05.004
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Some approximation properties of adaptive fuzzy systems with variable universe of discourse

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Cited by 22 publications
(10 citation statements)
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“…As a result, many researchers developed a keen interest in the theoretical analysis and practical design of VUD fuzzy controllers. For example, some VUD methods for chaotic systems and auto-gauge control systems were discussed in [17][18][19]; an analog circuit that made use of VUD fuzzy systems was developed in [20]; and some approximation properties and design methods for fuzzy systems were investigated in [21][22][23][24][25][26][27]. These works showed that VUD fuzzy controllers were capable of achieving good performance in control accuracy.…”
Section: Introductionmentioning
confidence: 99%
“…As a result, many researchers developed a keen interest in the theoretical analysis and practical design of VUD fuzzy controllers. For example, some VUD methods for chaotic systems and auto-gauge control systems were discussed in [17][18][19]; an analog circuit that made use of VUD fuzzy systems was developed in [20]; and some approximation properties and design methods for fuzzy systems were investigated in [21][22][23][24][25][26][27]. These works showed that VUD fuzzy controllers were capable of achieving good performance in control accuracy.…”
Section: Introductionmentioning
confidence: 99%
“…Many researchers developed a keen interest in the theoretical analysis and practical design of VUD fuzzy controllers. For example, Wang et al discussed some VUD methods on the chaotic systems and auto gauge control system [9][10][11]; Shan et al developed an Analog Circuit with VUD fuzzy systems [12]; Long et al investigated the approximation properties of fuzzy systems and their design method [13][14][15][16]. All these research works are some examples of how to obtain a good performance in the control accuracy.…”
Section: Introductionmentioning
confidence: 99%
“…Fuzzy systems can be constructed by splines [3][4][5][6] because the design of a fuzzy system can be regarded as a function approximation problem [7][8][9][10] and spline functions have many nice structural properties and excellent approximation powers [11]. By investigating the relation between fuzzy systems and splines, we proposed two classes of B-spline fuzzy systems (B-FSs) [12,13], which are linear combination of B-spline basis functions and rational B-spline basis functions, respectively.…”
Section: Introductionmentioning
confidence: 99%