From the reviews:
„As the title suggests, the book is aimed both to structures and algorithms of advanced control of industrial processes … . a useful monograph by a careful topic selection and by the significance of applications and worked examples, as well as by results of many simulations based on industrial process models, stemming primarily from petrochemical and chemical industries. The book is highly recommended both to researchers and postgraduate students as well as to control/electrical/electronics engineers, applied mathematicians and any other professionals or scientists … .“ (Mihail Voicu, Zentralblatt MATH, Vol. 1134 (12), 2008)
„Advanced Control of Industrial Processes“ presents the concepts and algorithms of advanced industrial process control and on-line optimisation within the framework of a multilayer structure. Relatively simple unconstrained nonlinear fuzzy control algorithms and linear predictive control laws are covered, as are more involved constrained and nonlinear model predictive control (MPC) algorithms and on-line set-point optimisation techniques.
Major topics and key features include: Derivation of practical MPC algorithms with linear process models; Development of computationally effective MPC structures for nonlinear process models, utilising on-line model linearisations and fuzzy reasoning; General presentation of the subject of on-line set-point improvement and optimisation; Complete theoretical stability analysis of fuzzy Takagi-Sugeno control systems; Illustration of the methodologies and algorithms by worked examples in the text and by results of simulations based on industrial process models.
