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|a Mendel, Jerry M.,
|d 1938-
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|a Introduction to type-2 fuzzy logic control :
|b theory and applications /
|c Jerry M. Mendel, Hani Hagras, Woei-Wan Tan, William W. Melek, Hao Ying.
|
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|a Hoboken, New Jersey :
|b IEEE Press, John Wiley & Sons,
|c [2014]
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300 |
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|a 1 online resource
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|a text
|b txt
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|a IEEE Press series on computational intelligence
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|a Includes bibliographical references and index.
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|a Print version record and CIP data provided by publisher.
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|6 880-01
|a Introduction -- 2. Introduction to Type-2 Fuzzy Sets -- 3. Interval Type-2 Fuzzy Logic Controllers -- 4. Analytical Structure of Various Interval Type-2 Fuzzy PI and PD Controllers 5. Analysis of Simplified Interval Type-2 Fuzzy PI and PD Controllers -- 6. On the Design ot IT2 TSK FLCs -- 7. Looking into the Future.
|
590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
|
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|a Automatic control.
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650 |
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|a Fuzzy systems.
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650 |
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|a Commande automatique.
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|a Systèmes flous.
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|a TECHNOLOGY & ENGINEERING
|x Engineering (General)
|2 bisacsh
|
650 |
|
7 |
|a Automatic control
|2 fast
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650 |
|
7 |
|a Fuzzy systems
|2 fast
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700 |
1 |
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|a Hagras, Hani.
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|a Tan, Woei-Wan.
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|a Melek, William W.
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|a Ying, Hao,
|d 1958-
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|i has work:
|a Introduction to type-2 fuzzy logic control (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFtgJxtfqjBfkBvBmxDbYd
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
776 |
0 |
8 |
|i Print version:
|a Mendel, Jerry M., 1938-
|t Introduction to type-2 fuzzy logic control.
|d Hoboken, New Jersey : John Wiley & Sons, [2014]
|z 9781118278390
|w (DLC) 2014000084
|
830 |
|
0 |
|a IEEE series on computational intelligence.
|
856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1710961
|z Texto completo
|
880 |
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|6 505-01/(S
|g Machine generated contents note:
|g 1.
|t Introduction --
|g 1.1.
|t Early History of Fuzzy Control --
|g 1.2.
|t What Is a Type-1 Fuzzy Set--
|g 1.3.
|t What Is a Type-1 Fuzzy Logic Controller--
|g 1.4.
|t What Is a Type-2 Fuzzy Set--
|g 1.5.
|t What Is a Type-2 Fuzzy Logic Controller--
|g 1.6.
|t Distinguishing an FLC from Other Nonlinear Controllers --
|g 1.7.
|t T2 FLCs versus T1 FLCs --
|g 1.8.
|t Real-World Applications of IT2 Mamdani FLCs --
|g 1.8.1.
|t Applications to Industrial Control --
|g 1.8.2.
|t Airplane Altitude Control --
|g 1.8.3.
|t Control of Mobile Robots --
|g 1.8.4.
|t Control of Ambient Intelligent Environments --
|g 1.9.
|t Book Rationale --
|g 1.10.
|t Software and How it Can Be Accessed --
|g 1.11.
|t Coverage of the Other Chapters --
|g 2.
|t Introduction to Type-2 Fuzzy Sets --
|g 2.1.
|t Introduction --
|g 2.2.
|t Brief Review of Type-1 Fuzzy Sets --
|g 2.2.1.
|t Some Definitions --
|g 2.2.2.
|t Set-Theoretic Operations --
|g 2.2.3.
|t Alpha Cuts --
|g 2.2.4.
|t Compositions of T1 FSs --
|g 2.2.5.
|t Rules and Their MFs --
|g 2.3.
|t Interval Type-2 Fuzzy Sets --
|g 2.3.1.
|t Introduction --
|g 2.3.2.
|t Definitions --
|g 2.3.3.
|t Set-Theoretic Operations --
|g 2.3.4.
|t Centroid of an IT2 FS --
|g 2.3.5.
|t Properties of cl(k) and cr(k) --
|g 2.3.6.
|t KM Algorithms as Well as Some Others --
|g 2.4.
|t General Type-2 Fuzzy Sets --
|g 2.4.1.
|t α-Plane/zSlice Representation --
|g 2.4.2.
|t Set-Theoretic Operations --
|g 2.4.3.
|t Centroid of a GT2 FS --
|g 2.5.
|t Wrapup --
|g 2.6.
|t Moving On --
|g 3.
|t Interval Type-2 Fuzzy Logic Controllers --
|g 3.1.
|t Introduction --
|g 3.2.
|t Type-1 Fuzzy Logic Controllers --
|g 3.2.1.
|t Introduction --
|g 3.2.2.
|t T1 Mamdani FLCs --
|g 3.2.3.
|t T1 TSK FLCs --
|g 3.2.4.
|t Design of T1 FLCs --
|g 3.3.
|t Interval Type-2 Fuzzy Logic Controllers --
|g 3.3.1.
|t Introduction --
|g 3.3.2.
|t IT2 Mamdani FLCs --
|g 3.3.3.
|t IT2 TSK FLCs --
|g 3.3.4.
|t Design of T2 FLCs --
|g 3.4.
|t Wu--Mendel Uncertainty Bounds --
|g 3.5.
|t Control Analyses of IT2 FLCs --
|g 3.6.
|t Determining the FOU Parameters of IT2 FLCs --
|g 3.6.1.
|t Blurring T1 MFs --
|g 3.6.2.
|t Optimizing FOU Parameters --
|g 3.7.
|t Moving On --
|g Appendix 3A
|t Proof of Theorem 3.4 --
|g 3A.1.
|t Inner-Bound Set [ul(x), u-r(x)] --
|g 3A.2.
|t Outer-Bound Set [u-l(x), ur(x)] --
|g 4.
|t Analytical Structure of Various Interval Type-2 Fuzzy PI and PD Controllers --
|g 4.1.
|t Introduction --
|g 4.2.
|t PID, PI, and PD Controllers and Their Relationships --
|g 4.2.1.
|t Two Forms of PID Controller---Position Form and Incremental Form --
|g 4.2.2.
|t PI and PD Controllers and Their Relationship --
|g 4.3.
|t Components of the Interval T2 Fuzzy PI and PD Controllers --
|g 4.4.
|t Mamdani Fuzzy PI and PD Controllers---Configuration 1 --
|g 4.4.1.
|t Fuzzy PI Controller Configuration --
|g 4.4.2.
|t Method for Deriving the Analytical Structure --
|g 4.5.
|t Mamdani Fuzzy PI and PD Controllers---Configuration 2 --
|g 4.6.
|t Mamdani Fuzzy PI and PD Controllers---Configurations 3 --
|g 4.6.1.
|t Fuzzy PI Controller Configuration --
|g 4.6.2.
|t Method for Deriving the Analytical Structure --
|g 4.7.
|t Mamdani Fuzzy PI and PD Controllers---Configuration 4 --
|g 4.7.1.
|t Fuzzy PI Controller Configuration --
|g 4.7.2.
|t Method for Deriving the Analytical Structure --
|g 4.8.
|t TSK Fuzzy PI and PD Controllers---Configuration 5 --
|g 4.8.1.
|t Fuzzy PI Controller Configuration --
|g 4.8.2.
|t Deriving the Analytical Structure --
|g 4.9.
|t Analyzing the Derived Analytical Structures --
|g 4.9.1.
|t Structural Connection with the Corresponding T1 Fuzzy PI Controller --
|g 4.9.2.
|t Characteristics of the Variable Gains of the T2 Fuzzy PI Controller --
|g 4.10.
|t Design Guidelines for the T2 Fuzzy PI and PD Controllers --
|g 4.10.1.
|t Determination of θ1 and θ2 Values --
|g 4.10.2.
|t Determination of the Remaining Nine Parameter Values --
|g 4.11.
|t Summary --
|t Appendix 4A --
|g 5.
|t Analysis of Simplified Interval Type-2 Fuzzy PI and PD Controllers --
|g 5.1.
|t Introduction --
|g 5.2.
|t Simplified Type-2 FLCs: Design, Computation, and Performance --
|g 5.2.1.
|t Structure of a Simplified IT2 FLC --
|g 5.2.2.
|t Output Computation --
|g 5.2.3.
|t Computational Cost --
|g 5.2.4.
|t Genetic Tuning of FLC --
|g 5.2.5.
|t Performance --
|g 5.2.6.
|t Discussions --
|g 5.3.
|t Analytical Structure of Interval T2 Fuzzy PD and PI Controller --
|g 5.3.1.
|t Configuration of Interval T2 Fuzzy PD and PI Controller --
|g 5.3.2.
|t Analysis of the Karnik--Mendel Type-Reduced IT2 Fuzzy PD Controller --
|g 5.3.3.
|t Analysis of the IT2 Fuzzy PD Controller --
|g 5.4.
|t Conclusions --
|g 6.
|t On the Design of IT2 TSK FLCs --
|g 6.1.
|t Introduction --
|g 6.2.
|t Preliminaries --
|g 6.2.1.
|t Discrete T1 TSK FLC: Rules and Firing Level --
|g 6.2.2.
|t Continuous Tl TSK FLC: Rules and Firing Level --
|g 6.2.3.
|t T1 TSK FLC Output --
|g 6.2.4.
|t Discrete IT2 TSK FLC: Rules and Firing Interval --
|g 6.2.5.
|t Continuous IT2 TSK FLC: Rules and Firing Interval --
|g 6.2.6.
|t IT2 TSK FLC Output --
|g 6.3.
|t Novel Inference Engine for Control Design --
|g 6.4.
|t Stability of IT2 TSK FLCs --
|g 6.4.1.
|t Stability of Discrete IT2 TSK FLC --
|g 6.4.2.
|t Stability of Continuous IT2 TSK FLC --
|g 6.4.3.
|t Examples --
|g 6.5.
|t Design of Adaptive IT2 TSK FLC --
|g 6.5.1.
|t Rule Bases --
|g 6.5.2.
|t Membership Functions --
|g 6.5.3.
|t Control Structure --
|g 6.5.4.
|t Control Design --
|g 6.5.5.
|t Control Performance --
|g 6.6.
|t Adaptive Control Design with Application to Robot Manipulators --
|g 6.6.1.
|t Tracking Control --
|g 6.6.2.
|t Control Structure --
|g 6.6.3.
|t Application to Modular and Reconfigurable Robot Manipulators (MRR) --
|g 6.7.
|t Robust Control Design --
|g 6.7.1.
|t System Description --
|g 6.7.2.
|t Disturbance Rejection Problem and Solution --
|g 6.7.3.
|t Robust Control Example --
|g 6.8.
|t Summary --
|t Appendix --
|g 7.
|t Looking into the Future --
|g 7.1.
|t Introduction --
|g 7.2.
|t William Melek and Hao Ying Look into the Future --
|g 7.3.
|t Hani Hagras Looks into the Future --
|g 7.3.1.
|t Nonsingleton IT2 FL Control --
|g 7.3.2.
|t zSlices-Based Singleton General T2 FL Control --
|g 7.4.
|t Woei Wan Tan Looks into the Future --
|g 7.5.
|t Jerry Mendel Looks into The Future --
|g 7.5.1.
|t IT2 FLC --
|g 7.5.2.
|t GT2 FLC --
|g Appendix
|t A T2 FLC Software: From Type-1 to zSlices-Based General Type-2 FLCs --
|g A.1.
|t Introduction --
|g A.2.
|t FLC for Right-Edge Following --
|g A.3.
|t Type-1 FLC Software --
|g A.3.1.
|t Define and Set Up T1 FLC Inputs --
|g A.3.2.
|t Define T1 FSs That Quantify Each Variable --
|g A.3.3.
|t Define Logical Antecedents and Consequents for the FL Rules --
|g A.3.4.
|t Define Rule Base of T1 FLC --
|g A.4.
|t Interval T2 FLC Software --
|g A.4.1.
|t Define and Set Up FLC Inputs --
|g A.4.2.
|t Define IT2 FSs That Quantify Each Variable --
|g A.4.3.
|t Define Logical Antecedents and Consequents for the FL Rules --
|g A.4.4.
|t Define Rule Base of the IT2 FLC --
|g A.5.
|t zSlices-Based General Type-2 FLC Software --
|g A.5.1.
|t Define and Set Up FLC Inputs --
|g A.5.2.
|t Define zSlices-Based GT2 FSs That Quantify Each Variable --
|g A.5.3.
|t Define Logical Antecedents and Consequents for the FL Rules --
|g A.5.4.
|t Define Rule Base of the GT2 FLC.
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