
Intelligent Control Systems using Computational Intelligence Techniques
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Reviews / Votes
'a very comprehensive and up-to-date treatise of this important and fascinating field. The book is an excellent read for anyone (academic or industrialist) who wishes to discover how to utilise computational intelligence to solve realistic problems. It is an extremely interesting and fascinating book on this dynamic subject, I certainly found it an enthralling read and it has been given a prominent place on my bookshelf.' -- Dr. Karl O. Jones * Measurement + Control *More details
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Content
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
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