Soft Computing for Intelligent Control and Mobile Robotics

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This book describes in a detailed fashion the application of hybrid intelligent systems using soft computing techniques for intelligent control and mobile robotics. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The prudent combination of SC techniques can produce powerful hybrid intelligent systems that are capable of solving real-world problems. This is illustrated in this book with a wide range of applications, with particular emphasis in intelligent control and mobile robotics. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theory and algorithms, which are basically papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of intelligent control, which are basically papers using bio-inspired techniques, like evolutionary algorithms and neural networks, for achieving intelligent control of non-linear plants. The third part contains papers with the theme of optimization of fuzzy controllers, which basically consider the application of bio-inspired optimization methods to automate the de-sign process of optimal type-1 and type-2 fuzzy controllers. The fourth part contains papers that deal with the application of SC techniques in times series prediction and intelligent agents. The fifth part contains papers with the theme of computer vision and robotics, which are papers considering soft computing methods for applications related to vision and robotics.

Author(s): Ramón Zatarain, Lucia Barrón-Estrada, Carlos Alberto Reyes-García (auth.), Oscar Castillo, Janusz Kacprzyk, Witold Pedrycz (eds.)
Series: Studies in Computational Intelligence 318
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2011

Language: English
Pages: 484
Tags: Computational Intelligence; Artificial Intelligence (incl. Robotics); Control

Front Matter....Pages -
Front Matter....Pages 1-1
Applying Intelligent Systems for Modeling Students’ Learning Styles Used for Mobile and Web-Based Systems....Pages 3-22
Towards a Fuzzy Model for RAMSET: Role Assignment Methodology for Software Engineering Teams....Pages 23-41
Academic Timetabling Design Using Hyper-Heuristics....Pages 43-56
Logistics Optimization Service Improved with Artificial Intelligence....Pages 57-65
Accelerometer-Based Hand Gesture Recognition Using Artificial Neural Networks....Pages 67-77
Front Matter....Pages 79-79
Direct and Indirect Neural Identification and Control of a Continuous Bioprocess via Marquardt Learning....Pages 81-102
Simple Tuning of Type-2 Fuzzy Controllers....Pages 103-123
Increasing Energy Efficiency of a Preamble Sampling MAC Protocol for Wireless Sensor Networks Using a Fuzzy Logic Approach....Pages 125-142
Multi-Agent System Based on Psychological Models for Mobile Robots....Pages 143-159
Fuzzy Control for Dynamical Parameter Adaptation in a Parallel Evolutionary Method Combining Particle Swarm Optimization and Genetic Algorithms....Pages 161-178
Front Matter....Pages 179-179
Optimization of Type-2 Fuzzy Logic Controllers Using PSO Applied to Linear Plants....Pages 181-193
Optimization of Membership Functions for an Incremental Fuzzy PD Control Based on Genetic Algorithms....Pages 195-211
Design of a Fuzzy System for the Longitudinal Control of an F-14 Airplane....Pages 213-224
A Fuzzy Reactive Controller of a Mobile Robot....Pages 225-232
Multi-Agent System with Personality Profiles and Preferences and Learning for Autonomous Mobile Robot with Fuzzy Logic Support....Pages 233-250
Front Matter....Pages 251-251
Composite Recurrent Neural Networks for Long-Term Prediction of Highly-Dynamic Time Series Supported by Wavelet Decomposition....Pages 253-268
An Interval Type-2 Fuzzy Neural Network for Chaotic Time Series Prediction with Cross-Validation and Akaike Test....Pages 269-285
Chaotic Time Series Prediction Using Ensembles of ANFIS....Pages 287-301
Modeling Facial Expression of Intelligent Virtual Agents....Pages 303-313
Agent Communication Using Semantic Networks....Pages 315-327
Front Matter....Pages 251-251
Fuzzy Cellular Model for Predator-Prey Interaction Applied to the Control of Plagues in a Peppers Cropping....Pages 329-351
Front Matter....Pages 353-353
Using Gaussian Copulas in Supervised Probabilistic Classification....Pages 355-372
Subjective Colocalization Analysis with Fuzzy Predicates....Pages 373-393
Iterated Local Search Algorithm for the Linear Ordering Problem with Cumulative Costs (LOPCC)....Pages 395-404
An Observer for the Type-1 Fuzzy Control of a Servomechanism with Backlash Using Only Motor Measurements....Pages 405-421
Neuro-Fuzzy Based Output Feedback Controller Design for Biped Robot Walking....Pages 423-444
Fuzzy System to Control the Movement of a Wheeled Mobile Robot....Pages 445-463
Embedding a Fuzzy Locomotion Pose Controller for a Wheeled Mobile Robot into an FPGA....Pages 465-481
Back Matter....Pages -