"Fuzzy Logic: Controls, Concepts, Theories and Applications" ed. by Elmer P. Dadios

This book introduces new concepts and theories of Fuzzy Logic Control for the application and development of robotics and intelligent machines. The intended readers of this book are engineers, researchers, and graduate students interested in fuzzy logic control systems.

The book consists of nineteen chapters categorized into
1) Robotics and Electrical Machines
2) Intelligent Control Systems with various applications, and
3) New Fuzzy Logic Concepts and Theories.

Contents
Preface
Part 1 Robotics and Electrical Machines
1 Humanoid Robot: Design and Fuzzy Logic Control Technique fbr Its Intelligent Behaviors
2 Application of Fuzzy Logic in Mobile Robot Navigation
3 Modular Fuzzy Logic Controller fbr Motion Control of Two-Wheeled Wheelchair
4 Fuzzy Control System Design and Analysis fbr Completely Restrained Cable-Driven Manipulators
5 Control and Estimation of Asynchronous Machines Using Fuzzy Logic
6 Application of Fuzzy Logic in Control of Electrical Machines
Part 2 Control Systems
7 Fuzzy Logic Control fbr Multiresolutive Adaptive PN Acquisition Scheme in Time-Varying Multipath Ionospheric Channel
8 Fuzzy Control in Power Electronics Converters fbr Smart Power Systems
9 Synthesis and VHDL Implementation of Fuzzy Logic Controller fbr Dynamic Voltage and Frequency Scaling (DVFS) Goals in Digital Processors
10 Precision Position Control of Servo Systems Using Adaptive Back-Stepping and Recurrent Fuzzy Neural Networks
11 Operation of Compressor and Electronic Expansion Valve via Different Controllers
12 Intelligent Neuro-Fuzzy Application in Semi-Active Suspension System
13 Fuzzy Control Applied to Aluminum Smelting
Part 3 Concepts and Theories
14 Rough Controller Synthesis
15 Switching Control System Based on Largest of Maximum (LOM) Defuzzification - Theory and Application
16 A Mamdani Type Fuzzy Logic Controller
17 Tuning Fuzzy-Logic Controllers
18 Fuzzv Control: An Adaptive Approach Using Fuzzv Estimators and Feedback Linearization
19 Survey on Design of Truss Structures by Using Fuzzy Optimization Methods