This book presents the results of the second workshop on Neural Adaptive Control Technology, NACT II, held on September 9-10, 1996, in Berlin. The workshop was organised in connection with a three-year European-Union-funded Basic Research Project in the ESPRIT framework, called NACT, a collaboration between Daimler-Benz (Germany) and the University of Glasgow (Scotland).The NACT project, which began on 1 April 1994, is a study of the fundamental properties of neural-network-based adaptive control systems. Where possible, links with traditional adaptive control systems are exploited. A major aim is to develop a systematic engineering procedure for designing neural controllers for nonlinear dynamic systems. The techniques developed are being evaluated on concrete industrial problems from within the Daimler-Benz group of companies.The aim of the workshop was to bring together selected invited specialists in the fields of adaptive control, nonlinear systems and neural networks. The first workshop (NACT I) took place in Glasgow in May 1995 and was mainly devoted to theoretical issues of neural adaptive control.
Besides monitoring further development of theory, the NACT II workshop was focused on industrial applications and software tools. This context dictated the focus of the book and guided the editors in the choice of the papers and their subsequent reshaping into substantive book chapters. Thus, with the project having progressed into its applications stage, emphasis is put on the transfer of theory of neural adaptive engineering into industrial practice. The contributors are therefore both renowned academics and practitioners from major industrial users of neurocontrol.
Part 1 Neural adaptive control technology: experimental evaluation of neural adaptive control technology, K.J. Hunt. Part 2 Theory of neural adaptive control: nonlinear control - adaptation and learning, H.K. Khalil; neural and adaptive control techniques with applications in control of continuous and discrete event systems, M. Christodoulou. Part 3 Industrial applications: high precision neurocontrol of a chaotic bioreactor, C. Szcpesvari and A. Lorincz; sensor-based motion planning for a pneumatic robot arm, M. Zeller et al; nonlinear identification and control of a thermal plant based on multilayer perception networks with locally distributed dynamics, M. Ayoubi et al; stable adaptive control using space-frequency localized Gaussian basis function networks - theory, simulation and experimental evaluation, J.P. Fredsted; introduction of adaptive neural control into an industrial automation environment, A. Harobrecht.
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