Ebook: Type-2 Fuzzy Logic in Intelligent Control Applications

We describe in this book, hybrid intelligent systems based mainly on type-2 fuzzy logic for intelligent control. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, and bio-inspired optimization algorithms, which can be used to produce powerful automatic control systems. The book is organized in three main parts, which contain a group of chapters around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which can be the basis for achieving intelligent control with interval type-2 fuzzy logic. The second part of the book is comprised of chapters with the main theme of evolutionary optimization of type-2 fuzzy systems in intelligent control with the aim of designing optimal type-2 fuzzy controllers for complex control problems in diverse areas of application, including mobile robotics, aircraft dynamics systems and hardware implementations. The third part of the book is formed with chapters dealing with the theme of bio-inspired optimization of type-2 fuzzy systems in intelligent control, which includes the application of particle swarm intelligence and ant colony optimization algorithms for obtaining optimal type-2 fuzzy controllers.

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We describe in this book, hybrid intelligent systems based mainly on type-2 fuzzy logic for intelligent control. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, and bio-inspired optimization algorithms, which can be used to produce powerful automatic control systems. The book is organized in three main parts, which contain a group of chapters around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which can be the basis for achieving intelligent control with interval type-2 fuzzy logic. The second part of the book is comprised of chapters with the main theme of evolutionary optimization of type-2 fuzzy systems in intelligent control with the aim of designing optimal type-2 fuzzy controllers for complex control problems in diverse areas of application, including mobile robotics, aircraft dynamics systems and hardware implementations. The third part of the book is formed with chapters dealing with the theme of bio-inspired optimization of type-2 fuzzy systems in intelligent control, which includes the application of particle swarm intelligence and ant colony optimization algorithms for obtaining optimal type-2 fuzzy controllers.

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We describe in this book, hybrid intelligent systems based mainly on type-2 fuzzy logic for intelligent control. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, and bio-inspired optimization algorithms, which can be used to produce powerful automatic control systems. The book is organized in three main parts, which contain a group of chapters around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which can be the basis for achieving intelligent control with interval type-2 fuzzy logic. The second part of the book is comprised of chapters with the main theme of evolutionary optimization of type-2 fuzzy systems in intelligent control with the aim of designing optimal type-2 fuzzy controllers for complex control problems in diverse areas of application, including mobile robotics, aircraft dynamics systems and hardware implementations. The third part of the book is formed with chapters dealing with the theme of bio-inspired optimization of type-2 fuzzy systems in intelligent control, which includes the application of particle swarm intelligence and ant colony optimization algorithms for obtaining optimal type-2 fuzzy controllers.
Content:
Front Matter....Pages 1-9
Front Matter....Pages 1-1
Introduction to Type-2 Fuzzy Logic Control....Pages 3-5
Type-2 Fuzzy Logic....Pages 7-22
Design of Interval Type-2 Fuzzy Logic Controllers....Pages 23-47
Design of Stable Type-2 Fuzzy Logic Controllers....Pages 49-61
Front Matter....Pages 63-63
Design of a Type-2 Fuzzy Controller and Its Comparison with Type-1 Fuzzy and PID Controllers for Velocity Regulation in a Motor....Pages 65-75
Genetic Optimization Design of Type-1 and Type-2 Fuzzy Systems for Longitudinal Control of an Airplane....Pages 77-92
Optimizing Type-2 Fuzzy Reactive and Tracking Controllers Using Genetic Algorithms....Pages 93-103
A Hybrid PSO-GA Optimization Method to Design Type-1 and Type-2 Fuzzy Logic Controllers....Pages 105-118
Evolutionary Optimization of Interval Type-2 Fuzzy Systems Using the Human Evolutionary Model....Pages 119-131
Front Matter....Pages 133-133
Optimization of a Fuzzy Controller for an Autonomous Mobile Robot Using the Ant Colony Metaheuristic....Pages 135-149
ACO-Tuning of a Fuzzy Controller for the Ball and Beam Problem....Pages 151-159
Optimization of Type-2 Fuzzy Logic Controllers Using PSO Applied to Linear Plants....Pages 161-172
Optimization of an Interval Type 2 Fuzzy Controller for an Autonomous Mobile Robot Using the Particle Swarm Optimization Algorithm....Pages 173-180
Back Matter....Pages 1-8

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We describe in this book, hybrid intelligent systems based mainly on type-2 fuzzy logic for intelligent control. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, and bio-inspired optimization algorithms, which can be used to produce powerful automatic control systems. The book is organized in three main parts, which contain a group of chapters around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which can be the basis for achieving intelligent control with interval type-2 fuzzy logic. The second part of the book is comprised of chapters with the main theme of evolutionary optimization of type-2 fuzzy systems in intelligent control with the aim of designing optimal type-2 fuzzy controllers for complex control problems in diverse areas of application, including mobile robotics, aircraft dynamics systems and hardware implementations. The third part of the book is formed with chapters dealing with the theme of bio-inspired optimization of type-2 fuzzy systems in intelligent control, which includes the application of particle swarm intelligence and ant colony optimization algorithms for obtaining optimal type-2 fuzzy controllers.
Content:
Front Matter....Pages 1-9
Front Matter....Pages 1-1
Introduction to Type-2 Fuzzy Logic Control....Pages 3-5
Type-2 Fuzzy Logic....Pages 7-22
Design of Interval Type-2 Fuzzy Logic Controllers....Pages 23-47
Design of Stable Type-2 Fuzzy Logic Controllers....Pages 49-61
Front Matter....Pages 63-63
Design of a Type-2 Fuzzy Controller and Its Comparison with Type-1 Fuzzy and PID Controllers for Velocity Regulation in a Motor....Pages 65-75
Genetic Optimization Design of Type-1 and Type-2 Fuzzy Systems for Longitudinal Control of an Airplane....Pages 77-92
Optimizing Type-2 Fuzzy Reactive and Tracking Controllers Using Genetic Algorithms....Pages 93-103
A Hybrid PSO-GA Optimization Method to Design Type-1 and Type-2 Fuzzy Logic Controllers....Pages 105-118
Evolutionary Optimization of Interval Type-2 Fuzzy Systems Using the Human Evolutionary Model....Pages 119-131
Front Matter....Pages 133-133
Optimization of a Fuzzy Controller for an Autonomous Mobile Robot Using the Ant Colony Metaheuristic....Pages 135-149
ACO-Tuning of a Fuzzy Controller for the Ball and Beam Problem....Pages 151-159
Optimization of Type-2 Fuzzy Logic Controllers Using PSO Applied to Linear Plants....Pages 161-172
Optimization of an Interval Type 2 Fuzzy Controller for an Autonomous Mobile Robot Using the Particle Swarm Optimization Algorithm....Pages 173-180
Back Matter....Pages 1-8
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