Information, Knowledge and Control.- Hybrid Models for Motion Control Systems.- Some Control Problems in the Process Industries.- Engineering Aspects of Industrial Applications of Model-Based Control Techniques and System Theory.- Towards a Joint Design of Identification and Control?.- Nonlinear State Space H? Control Theory.- Learning Control and Related Problems in Infinite-Dimensional Systems.- An Algebraic Approach to Linear and Nonlinear Control.- Robust Multivariable Control Using H? Methods: Analysis, Design and Industrial Applications.- Neural Networks for Control.- Neural Networks for Adaptive Control and Recursive Identification: A Theoretical Framework.

Rese�a del editor

The acquisition of knowledge about systems and the processing of information about them are key features of modern control engineering technology. This is the theme for a volume of articles setting out the scope and content to be covered at the European Control Conference (ECC '93) in Groningen, the Netherlands. The book provides a broad overview of the field of control and a discussion of its development both from a theoretical and an engineering perspective. It contains the fully developed articles on which the plenary addresses and mini-courses of the Conference are based. Among the topics dealt with in the lectures are motion control, chemical process control, Hoo-control, design of robust controllers and learning control. The mini-courses cover differential algebra and systems, Hoo-methods in designing robust industrial controllers, and neural networks in control. Applications are discussed for problems as robotics and vision, quality control, and in the modelling, identification, and optimization of industrial processes. Research workers in the field of control and systems theory, in its broadest interpretation, will find much of interest in both their theoretical investigations and critical industrial applications.

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