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Fuzzy Logic Control in Energy Systems : With Design Applications in MATLAB짰/Simulink짰

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서명/저자사항Fuzzy Logic Control in Energy Systems : With Design Applications in MATLAB짰/Simulink짰.
개인저자Altas, I?smail H.
발행사항Stevenage, Herfordshire: Institution of Engineering & Technology, 2017.
형태사항1 online resource (520 pages).
총서사항Energy engineering
기타형태 저록Print version: 9781785611070
ISBN9781785611087
1785611089
9781523112876
1523112875


서지주기Includes bibliographical references and index.
내용주기""Contents""; ""Preface""; ""Acknowledgments""; ""1. Introduction""; ""1.1 Introduction""; ""1.2 Fuzziness""; ""1.3 Fuzzy membership functions""; ""1.4 Fuzzy sets""; ""References""; ""2. Fuzzy sets""; ""2.1 Introduction""; ""2.2 Fuzzy sets and fuzzy membership functions""; ""2.2.1 Triangular membership function""; ""2.2.2 Trapezoid membership function""; ""2.2.3 Gaussian membership function""; ""2.2.4 Bell membership function""; ""2.2.5 Cauchy membership function""; ""2.2.6 Sinusoid membership function""; ""2.2.7 Sigmoid membership function""; ""2.3 Properties of fuzzy membership functions""
""2.4 Fuzzy set operations""""2.4.1 Intersection: t-norm""; ""2.4.2 Union: t-conorm""; ""2.4.3 Complement""; ""2.4.4 De Morgan laws""; ""2.5 Adjustment of fuzziness""; ""2.6 Problems""; ""References""; ""3. Fuzzy partitioning""; ""3.1 Introduction""; ""3.2 Theoretical approaches""; ""3.3 Fuzzy partition examples in energy systems""; ""3.4 Problems""; ""References""; ""4. Fuzzy relation""; ""4.1 Introduction""; ""4.2 Fuzzy relation""; ""4.3 Operation with fuzzy relations""; ""4.3.1 Intersection of two fuzzy relations""; ""4.3.2 Union of two fuzzy relations""
""4.3.3 Negation of a fuzzy relation""""4.3.4 Inverse of a fuzzy relation""; ""4.3.5 Composition of fuzzy relations""; ""4.3.6 Compositional rule of inference""; ""4.3.7 The relational joint""; ""4.4 Binary relations""; ""4.5 The extension principle""; ""4.5.1 The cylindrical extension""; ""4.6 Fuzzy mapping""; ""4.7 Problems""; ""References""; ""5. Fuzzy reasoning and fuzzy decision-making""; ""5.1 Introduction""; ""5.2 Fuzzy implications""; ""5.3 Approximate reasoning""; ""5.4 Inference rules of approximate reasoning""; ""5.4.1 Entailment rule of inference""
""5.4.2 Conjunction rule of inference""""5.4.3 Disjunction rule of inference""; ""5.4.4 Negation rule of inference""; ""5.4.5 Projection rule of inference""; ""5.4.6 Generalized modus ponens rule of inference""; ""5.4.7 Compositional rule of inference""; ""5.5 Fuzzy reasoning""; ""5.5.1 Inference engine with single input single rule""; ""5.5.2 Inference engine with multiple input single rule""; ""5.5.3 Inference engine with multiple input multiple rule""; ""5.6 Problems""; ""References""; ""6. Fuzzy processor""; ""6.1 Introduction""; ""6.2 Mamdani fuzzy reasoning""; ""6.2.1 Fuzzification""
""6.2.2 Fuzzy rule base""""6.2.3 Fuzzy conclusion""; ""6.2.4 Defuzzification""; ""6.3 Takagia?#x80;#x93;Sugeno fuzzy reasoning""; ""6.4 Tsukamoto fuzzy reasoning""; ""6.5 Problems""; ""References""; ""7. Fuzzy logic controller""; ""7.1 Introduction""; ""7.2 Physical system behaviors and control""; ""7.3 Fuzzy processor for control""; ""7.3.1 Fuzzy rules: the modeling of thoughts""; ""7.3.2 The inputa?#x80;#x93;output interaction""; ""7.4 Modeling the FLC in MATLAB""; ""7.5 Modeling the FLC in Simulink""; ""7.6 Problems""; ""References""; ""8. System modeling and control""; ""8.1 Introduction""
""8.2 System modeling""
요약This book is about fuzzy logic control and its applications in managing, controlling and operating electrical energy systems. It provides a comprehensive overview of fuzzy logic concepts and techniques required for designing fuzzy logic controllers, and then discusses several applications to control and management in energy systems.
일반주제명Fuzzy logic.
Fuzzy logic --Congresses.
TECHNOLOGY & ENGINEERING --Mechanical.
Fuzzy logic.
fuzzy control.
power control.
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