This book will sell because non-linear process control is the "coming thing" but requires a considerable amount of mathematics and also a method of generating a suitably large-scale controller. This book provides both.

Autorentext

Katalin Hangos obtained M.Sc.s in chemistry and computer science form Loránd Eötvös University in Budapest, and a Ph.D. and D.Sc from the Hungarian Academy of Science. She is currently a professor at the Hungarian Academy as well as a visiting professor at the University of Queensland and at the Technical University of Denmark. Her current research interests include: intelligent control systems and the theoretical foundations of model-based operator support systems. She teaches at both undergraduate and postgraduate level in intelligent control and the analysis and control of non-linear systems.

József Bokor is the Research Director of the Systems and Control Laboratory at the Hungarian Academy of Sciences. He obtained his M.Sc. from the Technical University of Budapest and his Ph.D. and D.Sc. from the Hungarian Academy. His research interests include Identification problems in closed-loop systems, fault detection and modelling of dynamic systems with associated realisation theories. He teaches postgraduate courses in multi-variable feedback systems, system identification and control of non-linear systems.

Gábor Szederkényi has just obtained his Ph.D. from the University of Veszprém but has already published papers in a number of peer-reviewed journals and is now a research fellow at the Hungarian Academy. His research interests include: analysis and control of non-linear systems and model-based fault detection and diagnosis in non-linear systems. He currently teaches undergraduates in linear control theory and discrete mathematics.

Klappentext

This straightforward text makes the complicated but powerful methods of non-linear control accessible to process engineers. Not only does it cover the necessary mathematics, but it consistently refers to the widely-known finite-dimensional linear time-invariant continuous case as a basis for extension to the nonlinear situation.

Inhalt

Basic Notions of Systems and Signals.- State-space Models.- Dynamic Process Models.- Input-output Models and Realization Theory.- Controllability and Observability.- Stability and The Lyapunov Method.- Passivity and the Hamiltonian View.- State Feedback Controllers.- Feedback and Input-output Linearization of Nonlinear Systems.- Passivation by Feedback.- Stabilization and Loop-shaping.