Fundamental Techniques for Intelligent Control. Learning Strategies and Algorithms. System Modeling and Estimation. Dynamic Controls. Optimization Control Techniques. Multivariate Statistics and Quality Control. Fault Detection and Diagnosis. Appendix. Bibliography. Index.

Seeking new technologies for the development of industrial control has become a major challenge for the control industry. This book introduces the novel methodologies, architectures and algorithms of intelligent control systems, and their industrial applications. The intelligent systems addressed include: neural networks, fuzzy logic, rule base, and genetic algorithms - each having a strong industrial application. The main features are: * Introduction to intelligent systems technologies under an industrial control framework * Application of novel forms of knowledge base and reasoning, such as neural networks * Review of the concepts and fundamentals of pattern mapping, associative memories, generalization, and learning * Description of the practical aspects of industrial intelligent control necessary for the design and implementation of a successful intelligent system * End-of-chapter worked or simulation examples which enable the reader to implement effectively the methods illustrated Written by an IFAC President-Elect, this book describes how to develop, design, and apply intelligent systems to solve complex industrial control problems. The accessible approach to the intelligent control strategies will appeal to the control engineer working in process industries. Professional engineers, researchers and postgraduate students in electrical, mechanical, and chemical engineering, as well as computer science, will also find this text an invaluable reference source.