fuzzy logic
Neural-network-based fuzzy logic control and decision system
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ABSTRACT A general neural-network (connectionist) model for fuzzy logic control and decision systems is proposed. This connectionist model, in the form of feedforward multilayer net, combines the idea of fuzzy logic controller and neural-network structure and
A fuzzy – logic -based approach to qualitative modeling
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This paper discusses a general approach to quali-tative modeling based on fuzzy logic . The method of qualitative modeling is divided into two parts: fuzzy modeling and linguistic approximation. It proposes to use a fuzzy clustering method ( fuzzy c-means method) to
A rule-based fuzzy logic controller for a PWM inverter in a stand alone wind energy conversion scheme
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The paper presents a rule-based fuzzy logic controller to control the output power of a pulse width modulated (PWM) inverter used in a stand alone wind energy conversion scheme (SAWECS). The self-excited induction generator used in SAWECS has the inherent problem
Industrial applications of fuzzy logic and intelligent systems
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This Industrial Applications of Fuzzy Logic and Intelligent Systems are generally reliable for you who want to be considered a successful person, why. The explanation of this Industrial Applications of Fuzzy Logic and Intelligent Systems can be among the great books you must Today it is widely agreed that an important problem in Al is the representation of commonsense knowledge. I In general, this knowledge may be regarded as a collection of such propositions as snow is white, icy roads are slippery, most Frenchmen are not very
Constraining the optimization of a fuzzy logic controller using an enhanced genetic algorithm
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Fuzzy logic controllers (FLCs) are gaining in popu-larity across a broad array of disciplines because they allow a more human approach to control. Recently, the design of the fuzzy sets and the rule base has been automated by the use of genetic algorithms (GAs) which
A survey of recent advances in fuzzy logic in telecommunications networks and new challenges
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Fuzzy logic has been successfully deployed in many real-world automatic control systems including subway systems, autofocus cameras, washing machines, automobile transmissions, air-conditioners, industrial robots, aerospace, and autonomous robot
A sensor-based obstacle avoidance controller for a mobile robot using fuzzy logic and neural network
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Abslmct-This paper proposes a sensor-based path planning method which utilizcs fuzzy logic and neural network for obstacle avoidancc of a mobile robot in uncertain environments. In order to acquire the information about the environment around the mobile robot, the
Paradigm shift-an introduction to fuzzy logic
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JANUARY/FEBRUARY 2006 7 and the current system state. Using fuzzy arithmetic, one uses a model and makes a subset of the system components fuzzy so that fuzzy arithmetic must be used when executing the model. In a broad sense, fuzzy logic refers to fuzzy sets
Towards a fuzzy answer set semantics for residuated logic programs
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The present work can be seen as related to the frame- work of query answering in the presence of uncertainty. It is convenient to note that stable models were initially aimed at formalizing the use of negation in logic programming as negation-as-failure and, thus, are closely related to
Fuzzy logic applications to power electronics and drives-an overview
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Applications of fuzzy logic (FL) to power electronics and drives are on the rise. The paper discusses some representative applications of FL in the area, preceded by an interpretative review of fuzzy logic controller (FLC) theory. A discussion on design and implementation
An autonomous fuzzy logic architecture for multisensor data fusion
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Fuzzy logic techniques have become popular to address various processes for multisensor data fusion. Examples include:(1) fuzzy membership functions for data association,(2) evaluation of alternative hypotheses in multiple hypothesis trackers,(3) fuzzy – logic -based
A two-stage fuzzy logic approach for wireless LAN indoor positioning
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Alternatively to GNSS, in indoor environments WLAN according to the IEEE 802.11 standard can provide location information by using signal strength measurements to access points (AP) and hence offers a smart synthesis of communication and navigation functionality
Self-organizing traffic control via fuzzy logic
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We present an approach to self-organizing traffic signal control based on a fully distributed system of cooperative local controllers. The signal timing parameters at each intersection are adjusted by a local controller as functions of the local traffic condition and of the signal
A fast searching method for precision parts mating based upon fuzzy logic approach
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The difficulties in devising reliable assembly strategies result from tlie complexity and the uncertainties of the assembly process and its environments such as imperfect knowledge of the parts being assembled as well as the limitations of the assembly devices performing the
An assessment of fuzzy logic vessel path control
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A fuzzy logic controller for ship path control in restricted waters is developed and evaluated. The controller uses inputs of heading, yaw rate, and lateral offset from the nominal track to produce a commanded rudder angle. Input variable fuzzification, fuzzy associative memory
Wavelet-based knock detection with fuzzy logic
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This paper presents a novel approach to the determination of the knocking condition of a spark-ignition engine using the discrete wavelet transform as a means of analyzing the engine-block vibration signal and a fuzzy inference scheme to generate an estimate of the
Fuzzy logic controller for the inverted pendulum problem
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The application of a Fuzzy Logic Controller (FLC) to the inverted pendulum problem is presented in this paper. FLCs have been used to control many dynamic systems. The inverted pendulum represents a challenging control problem, which continually moves
Fuzzy logic : An interface between logic and human reasoning
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Charles Elkan addresses two distinct areas of fuzzy logic : formal expressiveness and practical usefulness. 0 He describes as a paradox that although the theory of fuzzy logic is not generally accepted, it is successfully used in many real-world applications. He also calls
Using type-2 fuzzy logic systems to infer the operative configuration of distribution networks
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This work presents an approach aiming at inferring the operative configuration (OC) of distribution networks. In order to attain this objective, the OC problem is decomposed in two parts. In the first part, the available real-time data and expert knowledge are integrated by