Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control

Intelligent Control.- Optimization of Membership Functions of a Fuzzy Logic Controller for an Autonomous Wheeled Mobile Robot Using Ant Colony Optimization.- Evolutionary Optimization of Type-2 Fuzzy Logic Systems Applied to Linear Plants.- Multi-Agent System with Fuzzy Logic Control for Autonomous Mobile Robots in Known Environments.- Hybrid Interval Type-1 Non-singleton Type-2 Fuzzy Logic Systems Are Type-2 Adaptive Neuro-fuzzy Inference Systems.- Centralized Direct and Indirect Neural Control of Distributed Parameter Systems.- Pattern Recognition.- An Ensemble Neural Network Architecture with Fuzzy Response Integration for Complex Time Series Prediction.- Optimization of Fuzzy Response Integrators in Modular Neural Networks with Hierarchical Genetic Algorithms: The Case of Face, Fingerprint and Voice Recognition.- Modular Neural Network with Fuzzy Integration of Responses for Face Recognition.- A Modular Neural Network with Fuzzy Response Integration for Person Identification Using Biometric Measures.- Signature Recognition with a Hybrid Approach Combining Modular Neural Networks and Fuzzy Logic for Response Integration.- Learning and Social Simulation.- A Hybrid Recommender System Architecture for Learning Objects.- TA-Fuzzy Semantic Networks for Interaction Representation in Social Simulation.- Fuzzy Personality Model Based on Transactional Analysis and VSM for Socially Intelligent Agents and Robots.- Robotics and Hardware Implementations.- Controlling Unstable Non-Minimum-Phase Systems with Fuzzy Logic: The Perturbed Case.- Genetic Optimization for the Design of Walking Patterns of a Biped Robot.- Design and Simulation of the Type-2 Fuzzification Stage: Using Active Membership Functions.- Methodology to Test and Validate a VHDL Inference Engine of a Type-2 FIS, through the Xilinx System Generator.- Modeling and Simulation of the Defuzzification Stage of a Type-2 Fuzzy Controller Using the Xilinx System Generator and Simulink.