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Fuzzy Systems, 1992., IEEE International Conference on

Date 8-12 March 1992

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Displaying Results 1 - 25 of 168
  • Adaptive fuzzy logic control

    Publication Year: 1992, Page(s):407 - 414
    Cited by:  Papers (9)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (487 KB)

    A systematic design procedure for fuzzy linguistic controllers with adaptive or learning capability is introduced. The design is based on stability and hierarchy of identification and control. The fuzzy rule-base is stored in a fuzzy hypercube and the fuzzy control action is computed via a fuzzy inference mechanism. Initial conditions for the elements of a fuzzy hypercube are obtained by an offlin... View full abstract»

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  • IEEE International Conference on Fuzzy Systems (Cat. No.92CH3073-4)

    Publication Year: 1992
    Request permission for commercial reuse | PDF file iconPDF (28 KB)
    Freely Available from IEEE
  • Fuzzy control: Principles, practice and perspectives

    Publication Year: 1992
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (36 KB)

    Summary form only given. It is known that fuzzy control is the most successful application of the fuzzy logic. The reasons for this success were explored in a brief survey of the history of the fuzzy control. Some practical examples of fuzzy control were reviewed. Advanced fuzzy control topics such as structured control and intelligent control were discussed. A stability analysis of a fuzzy contro... View full abstract»

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  • Intelligent control of semiconductor manufacturing processes

    Publication Year: 1992, Page(s):101 - 108
    Cited by:  Papers (3)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (480 KB)

    The intelligent control mechanism relies on neural networks to model quantitatively semiconductor manufacturing processes. The learning capability of neural networks provides accurate approximations to these processes. The control strategy is based on fuzzy logic for capturing the heuristic knowledge and a feedforward neural network for capturing the process models. The hardware implementation of ... View full abstract»

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  • Fuzzy semantics and fuzzy constraint networks

    Publication Year: 1992, Page(s):1009 - 1016
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (600 KB)

    After reviewing the notion of crisp constraint networks and their relationship to semantics in classical logic, the authors define fuzzy constraint networks and their relationship to fuzzy logic. Then they introduce Khayyam, a fuzzy constrained-based programming language which implements much of Zadeh's PRUF formalism. In Khayyam, any sentence in the first-order fuzzy predicate calculus is a well-... View full abstract»

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  • Fuzzy second-generation expert system design for IE/OR/MS

    Publication Year: 1992, Page(s):779 - 786
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (464 KB)

    Limitations on the representation of knowledge, and hence the inference methods, naturally limit the domains of the first-generation expert systems. In response to these limitations, fuzzy expert systems or the second-generation of expert systems provide two essential and unique advantages in the design, development, and implementation of expert systems: (1) fuzzy knowledge representation and (2) ... View full abstract»

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  • Adaptive fuzzy control via modification of linguistic variables

    Publication Year: 1992, Page(s):399 - 406
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (416 KB)

    A fuzzy knowledge-based control system developed for mobile robot motion control is introduced. The method for deriving a fuzzy knowledge-base is established, based on a commercially available mobile robot. The adaptation method for fuzzy knowledge-based systems reacts to environmental variations and modifies the definitions of linguistic state variables instead of modifying the knowledge-base its... View full abstract»

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  • Approaches to the handling of fuzzy input data in neural networks

    Publication Year: 1992, Page(s):93 - 100
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (472 KB)

    Neural networks in general lend themselves well to dealing with uncertainty, in that weights are adjusted according to input data. A number of issues arise in neural network research in the handling of uncertain or fuzzy information. These can be divided into several areas: input data; propagation of results through the network: and interpretation of final results. In terms of the fuzzy implementa... View full abstract»

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  • Extending qualitative simulation by the use of fuzzy sets

    Publication Year: 1992, Page(s):1001 - 1008
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (576 KB)

    The authors present a new qualitative simulation (QS) method based on the utilization of fuzzy sets. A fuzzy qualitative simulation algorithm is introduced that provides significant advantages over existing QS techniques. A brief review of the existing QS approaches is presented. A description of basic design choices for developing QS techniques is outlined. The fuzzy representation of physical qu... View full abstract»

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  • A learning method of fuzzy inference rules by descent method

    Publication Year: 1992, Page(s):203 - 210
    Cited by:  Papers (115)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (432 KB)

    The authors propose a learning method for fuzzy inference rules by a descent method. From input-output data gathered from specialists, the inference rules expressing the input-output relation of the data are obtained automatically. The membership functions in the antecedent part and the real number in the consequent part of the inference rules are tuned by means of the descent method. The learning... View full abstract»

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  • Interpolative reasoning in fuzzy logic and neural network theory

    Publication Year: 1992
    Cited by:  Papers (9)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (36 KB)

    Summary form only given. Interpolative reasoning plays a key role in both fuzzy logic and neural network theory. The basic approaches to interpolative reasoning in both fuzzy logic and neural networks were surveyed, and their differences and similarities were analyzed. An important issue in interpolative reasoning in fuzzy logic relates to the solution of a system of fuzzy algebraic equations. Var... View full abstract»

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  • Fuzzy sets and approximate reasoning in decision and control

    Publication Year: 1992, Page(s):415 - 428
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (788 KB)

    Issues in the use of fuzzy set theory for decision and control are examined. The basic methodology for representing multicriterion decision-making (MCDM) functions with fuzzy sets is examined. A procedure for aggregating criteria which judge the alternatives with linear orderings is analyzed. It is shown that, by providing an ordering over the criteria, a fair procedure can be obtained for aggrega... View full abstract»

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  • Performance evaluation of a self-tuning fuzzy controller

    Publication Year: 1992, Page(s):389 - 397
    Cited by:  Papers (16)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (388 KB)

    Using a self-tuning technique based on fuzzy metarules, the authors implemented a self-tuning fuzzy controller for a gas-fired water heater. They describe the implementation and its simulation results. The problem was to replace a proportional-integral-derivative (PID) control algorithm with a fuzzy controller, using initial guesses as to the fuzzy membership functions and rules; to tune the fuzzy... View full abstract»

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  • Evidence theory of normal possibility and its application

    Publication Year: 1992, Page(s):55 - 62
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (444 KB)

    The authors construct a framework of evidence theory by normal possibility distributions defined as exponential functions. A possibility distribution is regarded as an evidence. A rule of combination of evidences is given with the same concept as Dempster's rule (see A. P. Dempster, 1967). Also, measures of ignorance and fuzziness of an evidence are defined by a normality factor and an area of a p... View full abstract»

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  • Design of an online rule-adaptive fuzzy control system

    Publication Year: 1992, Page(s):83 - 91
    Cited by:  Papers (5)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (532 KB)

    The authors discuss the design of a rule-adaptive fuzzy control system, and demonstrate its usefulness in controlling plants of various dynamical natures. The rule-adaptive fuzzy controller generates the fuzzy control signal as a convex combination of the standard fuzzy inputs to the controller, the error, and the error rate. Such a combination is automatically adjusted online amid the varying con... View full abstract»

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  • Servo controller design for an optical disk drive using fuzzy control algorithm

    Publication Year: 1992, Page(s):989 - 997
    Cited by:  Papers (5)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (436 KB)

    The fuzzy control of an optical disk drive compound actuator is presented. Many problems associated with the compound actuator control are addressed. The coarse actuator generally has a very different resolution from that of the fine, and the fine actuator is limited by its stroke. The fuzzy control logic provides an easy way for implementing these specifications. Results for fuzzy controller appl... View full abstract»

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  • Fuzzy neural controller

    Publication Year: 1992, Page(s):197 - 202
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (288 KB)

    The authors consider a fuzzy controller that processes fuzzy information. They discuss the model of the fuzzy controller, with fuzzy inputs for error and change in error, using a max-min neural network. A new learning algorithm, a modified delta rule, is derived. The generalization property of the neural net can be used to find a controller output for new fuzzy values of error and change in error.... View full abstract»

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  • Neural network based decision model, used for design of rural natural gas systems

    Publication Year: 1992, Page(s):1219 - 1226
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (340 KB)

    The design and application of neural networks are examined in the context of a specific decision-making problem, the selection of an appropriate layout for a rural natural gas distribution system. The neural networks considered exploit one-stage classes of single-layer and multilayer architectures driven by logical constructs arising from the theory of fuzzy sets. The application is a multicriteri... View full abstract»

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  • Adaptive fuzzy techniques for slip-recovery drive control

    Publication Year: 1992, Page(s):381 - 388
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (368 KB)

    Speed adjustments can be achieved for wound-rotor induction motors by slip power control, but power factor problems limit the usefulness of the scheme. In the modified Scherbius system described, a generalized hybrid inverter is utilized to regulate the slip-energy recovery and the power factor of the system, for all regimes. The fuzzy adaptive control is based on a three-level control structure. ... View full abstract»

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  • Multi-attribute classification using fuzzy integral

    Publication Year: 1992, Page(s):47 - 54
    Cited by:  Papers (31)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (520 KB)

    Fuzzy set theory can provide a suitable framework for pattern classification, because of the inherent fuzziness involved in the definition of a class or a cluster. Fuzzy set theory is discussed based on a fuzzy pattern matching procedure, where partial matching values with respect to a given attribute are combined. This approach is closely related to a statistical approach to pattern classificatio... View full abstract»

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  • A design algorithm of membership functions for a fuzzy neuron using example-based learning

    Publication Year: 1992, Page(s):75 - 82
    Cited by:  Papers (6)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (448 KB)

    The authors describe a design algorithm for extraction of membership functions of a fuzzy neuron based on example-based learning with optimization of cross-detecting lines. This algorithm facilitates design without the knowledge of experts. The algorithm was verified by recognition of hand-written characters. Using this algorithm, a fuzzy neuron can be designed very easily without knowledge about ... View full abstract»

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  • Fuzzy control of blood pressure during anesthesia with isoflurane

    Publication Year: 1992, Page(s):981 - 987
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (396 KB)

    A fuzzy controller which controls the depth of anesthesia during surgery with isoflurane was designed and implemented on a personal computer. The mean arterial pressure (MAP) was taken as a measure for the depth of anesthesia. The design process was iterative and the reference points of the membership functions as well as the linguistic rules were determined by trial and error. The control rules m... View full abstract»

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  • Fuzzy compliance robot control using multi rule-base

    Publication Year: 1992, Page(s):1343 - 1348
    Cited by:  Papers (5)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (204 KB)

    The authors propose a compliance robot control algorithm using a fuzzy adaptive controller and a fuzzy compliance vector generator. Because a compliant motion robot subject to external forces by contact with the external environment has increased nonlinearity, controller adaptivity is required. Existing adaptive controllers have difficulties in dealing with real-time processes. The fuzzy adaptive ... View full abstract»

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  • Competence set analysis for fuzzy problems

    Publication Year: 1992, Page(s):323 - 330
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (548 KB)

    The authors introduce a framework called competence set analysis to model decision problems in fuzzy environments. They discuss such concepts as fuzzy random set decomposition of competence sets, expansion costs, and expansion rewards. Optimal expansion processes are outlined by considering both expansion costs and expansion rewards. An algorithm for finding the optimal process of expanding compet... View full abstract»

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  • Fuzzy logic control of AC induction motors

    Publication Year: 1992, Page(s):843 - 850
    Cited by:  Papers (16)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (384 KB)

    Simulated results of a microprocessor-based fuzzy logic motor controller (FLMC) are described. The investigation includes a motor stator voltage control scheme to minimize motor input power at specified speed/torque conditions, simulation of AC motor performance, and development of a FLMC for optimized motor efficiency. Simulated FLMC results compared favorably with other motor control approaches.... View full abstract»

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