Table of Contents

An Overview of Nonlinear Identification and Control with Fuzzy Systems

An Overview of Nonlinear Identification and Control with Neural Networks

Multiobjective Evolutionary Computing Solutions for Control and System Identification

Adaptive Local Linear Modeling and Control of Nonlinear Dynamical Systems

Nonlinear System Identification with Local Linear Neuro-Fuzzy Models

Gaussian Process Approaches to Nonlinear Modeling for Control

Neuro Fuzzy Model Construction, Design and Estimation

A Neural Network Approach for nearly Optimal Control of Constrained Nonlinear Systems

Reinforcement Learning for Online Control and Optimization

Reinforcement Learning and Multiagent Control Within An Internet Environment

Combined Computational Intelligence and Analytical Methods in Fault Diagnosis

Application of Intelligent Control to Autonomous Search of Parking Place and Parking of Vehicles

Applications of Intelligent Control in Medicine