Intelligent Control Systems using Computational Intelligence Techniques

Antonio Ruano received his First Degree in Electronic and Telecommunications Engineering from the University of Aveiro, Portugal, in 1982, his MSc in Electrothecnic Engineering from the University of Wales in 1992. In 1992 he joined the Department of Electronic Engineering and Informatics of the University of Algarve, where in 1996 he became Associate Professor of Automatic Control. He is Associate Editor for Automatica, a member of the Editorial Board of International Journal of Systems Science, and serves a reviewer for several journals and international conferences. He is a senior member of the IEE and a member of the Cognition for Control, Real-Time Computing and Control and Computer Control for Agricultural Applications TCs of IFAC.

Chapter 1: An overview of nonlinear identification and control with fuzzy systems
Chapter 2: An overview of nonlinear identification and control with neural networks
Chapter 3: Multi-objective evolutionary computing solutions for control and system identification
Chapter 4: Adaptive local linear modelling and control of nonlinear dynamical systems
Chapter 5: Nonlinear system identification with local linear neuro-fuzzy models
Chapter 6: Gaussian process approaches to nonlinear modelling for control
Chapter 7: Neuro-fuzzy model construction, design and estimation
Chapter 8: A neural network approach for nearly optimal control of constrained nonlinear systems
Chapter 9: Reinforcement learning for online control and optimisation
Chapter 10: Reinforcement learning and multi-agent control within an internet environment
Chapter 11: Combined computational intelligence and analytical methods in fault diagnosis
Chapter 12: Application of intelligent control to autonomous search of parking place and parking of vehicles
Chapter 13: Applications of intelligent control in medicine