Intelligent control design and MATLAB simulation. ([2018])

• Record Type: Book
• Further Information: Note: Jinkun Liu.
• Authors: Liu, Jinkun, 1965-
• Contents: Preface; Contents; About the Author; Abstract; 1 Introduction to Intelligent Control; 1.1 Expert Control; 1.2 Fuzzy Logic Control; 1.3 Neural Network and Control; 1.4 Intelligent Search Algorithm; References; 2 Expert PID Control; 2.1 Expert PID Control; 2.2 Simulation Example; Reference; 3 Foundation of Fuzzy Mathematics; 3.1 Characteristic Function and Membership Function; 3.2 Fuzzy Set Expression; 3.3 Calculation Method of Fuzzy Set; 3.3.1 Basic Calculation Method of Fuzzy Set; 3.3.2 Fuzzy Operator; 3.3.3 Typical Membership Function; 3.3.4 Design of Fuzzy System. 3.4 Fuzzy Matrix Calculation3.4.1 Fuzzy Matrix; 3.4.2 Fuzzy Matrix Calculation; 3.4.3 Compound of Fuzzy Matrix; 3.5 Fuzzy Inference; 3.6 Fuzzy Equation; Reference; 4 Fuzzy Logic Control; 4.1 Design of Fuzzy Logic Controller; 4.2 An Example for a Fuzzy Logic Controller Design; 4.3 Fuzzy Logic Control for Washing Machine; 4.4 Fuzzy PI Control; 4.4.1 PI Tuning Controller with Fuzzy Logic; 4.4.2 Simulation Example; References; 5 Fuzzy T-S Modeling and Control; 5.1 Fuzzy T-S Model; 5.2 Fuzzy T-S Modeling and Control Based on LMI; 5.2.1 Controller Design of T-S Fuzzy Model Based on LMI. 5.2.2 LMI Design and Analysis5.2.3 Transformation of LMI; 5.2.4 LMI Design Example; 5.3 Fuzzy T-S Modeling and Control Based on LMI for Inverted Pendulum; 5.3.1 System Description; 5.3.2 Simulation Based on Two Fuzzy Rules Design; 5.3.3 Simulation Based on Four Fuzzy Rules Design; 5.4 Simulation Example of YALMIP Toolbox; References; 6 Adaptive Fuzzy Control; 6.1 Adaptive Fuzzy Control; 6.2 Fuzzy Approximation; 6.2.1 Fuzzy System Design; 6.2.2 Fuzzy System Approximation; 6.2.3 Simulation Example; 6.2.3.1 One Dimension Function Approximation; 6.2.3.2 Two Dimension Function Approximation. 6.3 Adaptive Fuzzy Controller Design6.3.1 Problem Description; 6.3.2 Fuzzy Approximation; 6.3.3 Adaptive Fuzzy Control Design and Analysis; 6.3.4 Simulation Example; 6.4 Adaptive Fuzzy Control Based on Fuzzy System Compensator; 6.4.1 System Description; 6.4.2 Adaptive Fuzzy Control Design and Analysis; 6.4.3 Only Consider Friction; 6.4.4 Simulation Example; References; 7 Neural Networks; 7.1 Introduction; 7.2 Single Neural Network; 7.3 BP Neural Network Design and Simulation; 7.3.1 BP Network Structure; 7.3.2 Approximation of BP Neural Network; 7.3.3 Simulation Example. 7.4 RBF Neural Network Design and Simulation7.4.1 RBF Algorithm; 7.4.2 RBF Design Example with MATLAB Simulation; 7.4.2.1 For Structure 1-5-1 RBF Neural Network; 7.4.2.2 For Structure 2-5-1 RBF Neural Network; 7.5 RBF Neural Network Approximation Based on Gradient Descent Method; 7.5.1 RBF Neural Network Approximation; 7.5.2 Simulation Example; 7.6 Effects of Analysis on RBF Approximation; 7.6.1 Effects of Gaussian Function Parameters on RBF Approximation; 7.6.2 Effects of Hidden Nets Number on RBF Approximation; 7.7 RBF Neural Network Training for System Modeling.
• Publisher Details: Singapore : Springer
• Publication Date: 2018
• Copyright Date: 2018
• Extent: 1 online resource (xv, 290 pages), illustrations
• Subjects: 629.8; Intelligent control systems; TECHNOLOGY & ENGINEERING -- Engineering (General); Intelligent control systems; Electronic books; Electronic books
• Languages: English
• ISBNs: 9789811052637; 9811052638
• Related ISBNs: 9789811052620; 981105262X
• Notes: Note: Includes bibliographical references.; Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.