This book describes important techniques, developments, and applications of computational intelligence in system control.
Intelligent Adaptive Control provides a state-of-the-art treatment of practical applications of computational intelligence in system control. The book cohesively covers introductory and advanced theory, design, implementation, and industrial use - serving as a singular resource for the theory and application of intelligent control, particularly employing fuzzy logic, neural networks, and evolutionary computing.
Intelligent Control Techniques, A. Filippidis, L.C. Jain, and C.W. de Silva
Learning and Adaptation in Complex Dynamic Systems, F.O. Karray and C.W. de Silva
Applications of Evolutionary Algorithms to Control and Design, T. Nomura
Neural Control Systems and Applications, Q.M.J. Wu, K. Stanley, and C.W. de Silva
Feature Space Neural Filters and Controllers, H.N. Teodorescu and C. Bonciu
Discrete-Time Neural Network Control of Nonlinear Systems, S. Jagannathan and F.L. Lewis
Robust Adaptive Control of Robots Based on Static Neural Networks, S.S. Ge
Error Correction Using Fuzzy Logic in Vehicle Load Measurement, L. Su and C. Komata
Intelligent Control of Airconditioning Systems, T. Iokibe, T.Tobi, and S. Araki
Intelligent Automation Systems at Petroleum Plants in Transient State, T. Tani, T. Kobayashi, and K. Nakane
Intelligent Control for Ultrasonic Motor Drive, F.J. Lin and R.J. Wai
Intelligent Automation of Herring Roe Grading, S. Kurnianto, C.W. de Silva, E.A. Croft, and R.G. Gosine
Intelligent Techniques for Vehicle Driving Aid, N. Lefort-Piat, P. Morizet-Mahoudeaux, and V. Berge-Cherfaoui
Intelligent Techniques in Air Traffic Management, Y. Kuwata and T. Sugimoto