2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542)

25-29 July 2004

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  • 2004 IEEE International Conference on Fuzzy Systems

    Publication Year: 2004, Page(s): 0_1
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  • FUZZ-IEEE 2004 Proceedings

    Publication Year: 2004, Page(s): I
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    Publication Year: 2004, Page(s): II
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  • 2004 IEEE International Conference on Fuzzy Systems

    Publication Year: 2004, Page(s): III
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  • Copyright

    Publication Year: 2004, Page(s): IV
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  • Message from the General Chair

    Publication Year: 2004, Page(s):V - VI
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  • FUZZ-IEEE 2004 Organizing Committee

    Publication Year: 2004, Page(s): VII
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  • List of reviewers for FUZZ-IEEE 2004

    Publication Year: 2004, Page(s): VIII
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  • Table of contents

    Publication Year: 2004, Page(s):IX - XXIV
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  • A generalized fuzzy hyperbolic modeling and control scheme

    Publication Year: 2004, Page(s):1203 - 1207 vol.3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (403 KB) | HTML iconHTML

    A new generalized fuzzy hyperbolic model (GFHM) is proposed, which is proved to be a universal approximator. GFHM can be used as identifier for nonlinear dynamic systems and the back-propagation training algorithm is given. The feature of GFHM is that as the number of input variables or (and) fuzzy subsets increases, the number of the unknown parameters of GFHM would increase linearly. Finally, th... View full abstract»

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    Publication Year: 2004, Page(s): 1208
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  • Adaptive fuzzy output feedback control for nonlinear MIMO systems

    Publication Year: 2004, Page(s):1209 - 1213 vol.3
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (317 KB) | HTML iconHTML

    The adaptive fuzzy control scheme based on observer is proposed for a class of MIMO nonlinear systems whose states are unavailable. By applying "dominant input" concept and combining adaptive control, H/sup /spl infin// control with fuzzy logic systems, the output feedback control law and parameter adaptive law are derived. The whole control scheme can guarantee the stability of the closed-loop, a... View full abstract»

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    Publication Year: 2004, Page(s): 1214
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  • Rule chain and dominant rule control algorithm for unknown nonlinear systems

    Publication Year: 2004, Page(s):1215 - 1220 vol.3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (660 KB) | HTML iconHTML

    This paper is focused on the control method based upon rule chains of a rule-base for unknown nonlinear systems. At first, the fuzzy point is employed to simplify the expression of multi-input multi-output fuzzy rules. Some relations between the fuzzy point and fuzzy number are obtained. Second, the input dominant region and output dominant region of a rule are proposed. Third, the dominant rule c... View full abstract»

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  • Feedback control via Popov for fuzzy systems with input saturations

    Publication Year: 2004, Page(s):1221 - 1226 vol.3
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (409 KB) | HTML iconHTML

    We investigate a state feedback synthesis problem involving saturating inputs via Popov criterion. The problem formulated in fuzzy model is tackled via Popov criterion borrowed from system theory. We first show the fuzzy version of Popov and then provide synthesis results based on Popov. With the design technique, the closed-loop fuzzy system is asymptotically stabilizable via sector-bounded satur... View full abstract»

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  • Approximation capability analysis of hierarchical Takagi-Sugeno fuzzy systems

    Publication Year: 2004, Page(s):1227 - 1232 vol.3
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (541 KB) | HTML iconHTML

    Based on the approach of hierarchical structure analysis of continuous functions, this paper discusses the approximation capacities of hierarchical Takagi-Sugeno fuzzy systems. By first introducing the concept of the natural hierarchical structure, it is proved that continuous functions with the natural hierarchical structure can be naturally and effectively approximated by hierarchical fuzzy syst... View full abstract»

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  • Analysis of autoregressive fuzzy systems

    Publication Year: 2004, Page(s):1233 - 1238 vol.3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (636 KB) | HTML iconHTML

    The combination of fuzzy logic and neural networks are one of the techniques that are recently being used for modelling nonlinear system. Most of real-word systems have dynamic features, i.e. the actual output depends on the previous values. The so-called autoregressive dynamic fuzzy system with rules in the general forms has to be used. The specific problem appears when dealing with this autoregr... View full abstract»

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  • Approximations of large rule fuzzy logic controller by simplest fuzzy controller

    Publication Year: 2004, Page(s):1239 - 1244 vol.3
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (519 KB) | HTML iconHTML

    This paper deals with approximations of large rule fuzzy logic controller by simplest fuzzy controller (4 rules) via comparison of membership grade of outputs in the fuzzy sets of the two controllers. The inequalities between two controllers are compensated by proposed compensating factors. The proposed methodology enormously reduces the computational time. Various systems from available literatur... View full abstract»

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  • Predictive control based on fuzzy model for steam generator

    Publication Year: 2004, Page(s):1245 - 1250 vol.3
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (557 KB) | HTML iconHTML

    Poor control of the steam generator water level in the secondary circuit of a nuclear power plant can lead to frequent reactor shutdowns. Such shutdowns are caused by violation of safety limits on the water level and are common at low operating power where the plant exhibits strong nonminimum phase characteristics. This paper presents a framework for addressing this problem based on a new method o... View full abstract»

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  • Robot hand tracking using adaptive fuzzy control

    Publication Year: 2004, Page(s):1251 - 1256 vol.3
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    This paper presents a visual tracking system developed for a teleoperation project. The goal of this project is a both hands master-slave system in which the operator needs to see the robot hand (gripper) every time. For this reason, a new and robust algorithm to track the robot hand during its movement is developed. This is a model based tracking so the knowledge of the robot hand CAD model is ne... View full abstract»

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  • Robust stable feedback linearization of fuzzy modeled nonlinear systems via LMI's

    Publication Year: 2004, Page(s):1257 - 1262 vol.3
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    This paper presents the robust stability analysis and design methodology of the fuzzy feedback linearization control systems. Uncertainty and disturbances with known bounds are assumed to be included in the Takagi-Sugeno (TS) fuzzy models representing the nonlinear plants. L/sub 2/ robust stability of the closed system is analyzed by casting the systems into the diagonal norm bounded linear differ... View full abstract»

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  • The discourse self-adapting fuzzy controller for temperature control processing in disinfecting cupboard

    Publication Year: 2004, Page(s):1263 - 1267 vol.3
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (331 KB) | HTML iconHTML

    This paper presents a changeable discourse range fuzzy controller, which can narrow down the discourse range and raise up the control precision. To change the range of discourse, the narrowing down factor is used automatically according to the output error of the system. This control method is implemented in electronic disinfecting cupboard one kind of home appliances, and the result shows that it... View full abstract»

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    Publication Year: 2004, Page(s): 1268
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  • Output regulation for discrete-time nonlinear time-varying delay systems: an LMI approach

    Publication Year: 2004, Page(s):1269 - 1273 vol.3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (400 KB) | HTML iconHTML

    In this article, the Takagi-Sugeno (T-S) fuzzy model approach is extended to the stability analysis, control and output regulation design for discrete-time nonlinear systems with time-varying delay. The T-S fuzzy model with varying-time delay are presented and the stability conditions are derived from Lyapunov approach. We also present a stabilization approach and output regulation for nonlinear t... View full abstract»

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