Bøger i Advanced Textbooks in Control serien

Almost all process systems are nonlinear in nature. Nonlinear control is traditionally an area of interest in process systems engineering which is of great practical importance. These facts notwithstanding, many process engineers have difficulty with the paradigms and results of modern nonlinear control theory because they lack the mathematical background usually associated with such methods or because of their computational difficulty and small-scale applicability in the general case. Analysis and Control of Nonlinear Process Systems overcomes these barriers. Features:¿ The necessary mathematical preliminaries for readers from a process engineering background.¿ Constant reference to the widely-known finite-dimensional linear time-invariant continuous case as a basis for extension to the nonlinear situation.¿ The most promising theories and analytical methods for nonlinear process control laid out clearly and straightforwardly with exercises to reaffirm the techniques as they are taught.¿ Emphasis on the importance of process knowledge and first-principles-based models in obtaining feasible and effective solutions in particular circumstances from general cases.¿ Illustration of applications with simple examples and case studies.Analysis and Control of Nonlinear Process Systems will interest graduate process engineers wishing to study advanced control methods either with a view to further research or application in industry as well as to academics seeking to move process control courses into more complicated but up-to-date territory. It will also be a great assistance to those in their senior undergraduate years who will form the next generation of industrial process engineers and need unfussy access to the most modern nonlinear control ideas.

Noise and vibration are known to have adverse physiological and psychological effects as well as their deleterious consequences for engineering concerns as disparate as signal quality and ride comfort. This text shows you how to analyse and design control systems from an engineering perspective. This approach teaches you to predict the performance of a system in advance, reducing the empirical aspects of design. Your skills in dealing with noise and vibration will develop from fixed digital control through self-tuning adaptive control to the incorporation of neural networks and genetic algorithms within a single intelligent control framework. The associated software based on Matlab®/Simulink® and available on-line allows you to simulate noise and vibration patterns in different media and then to realise and assess your own control designs. An essential study aid for graduate students of systems and control engineering, signal processing, communications, acoustics and vibration.

Receding Horizon Control introduces the essentials of a successful feedback strategy that has emerged in many industrial fields: the process industries in particular. Receding horizon control (RHC) has a number of advantages over other types of control: easier computation than steady-state optimal control; greater adaptability to parametric changes than infinite horizon control; better tracking than PID and good constraint handling among others. The text builds understanding starting with optimal controls for simple linear systems and working through constrained systems to nonlinear cases. RHC is applied to discrete-time systems for better understanding and easier computer application. Its diverse techniques are unified using the state-space framework. Worked examples and exercises throughout the book allow you to practise as you go. MATLAB® files for the solution of selected examples can be downloaded from http://extras.springer.com.Graduate students following masters and doctoral courses in control theory and engineering will find Receding Horizon Control to be an excellent companion to tuition and research. Tutors and academics researching model predictive control can use this not only as a scholarly textbook but as a co-ordinated reference for its wide range of receding horizon schemes.