基本説明
Contents: Continuous time control: dynamic modelling of chemical processes; linear feedback control; stability analysis; design feedback controllers; frequency analysis; improvement of control systems; state representation, controllability, observability.- and more.
Full Description
A wide range of identification and control methods applicable to processes are accompanied by typical comparable examples, encouraging you to make comparisons. The initial classical approach to continuous control by transfer functions will be of enormous benefit, whether you are a student beginning in control or an engineer in industry, who up until now has only had a land contact with control. The more advanced material on discrete control and the state space control, as well as nonlinear control and observers, requires minimal previous knowledge, enabling you to make better use of performing techniques.
Progressively it introduces concepts of increasing difficulty, allowing a less brutal tuition of theories and control methods. For each topic, the theories, techniques and algorithms are presented in detail, with numerous references. The consideration of the same problems by different approaches will provoke a deep understanding. It includes all necessary explanations for your complete understanding of the subject and examples that you can reproduce to master the different techniques. Broad coverage creates an important synthesis on the majority of aspects of control giving you a complete view of control theory and possible applications within the field. Different levels of reading are possible, opening this powerful source of information to students, engineers, academics and researchers alike.
Contents
1 Dynamic Modelling of Chemical Processes.- 2 Linear Feedback Control.- 3 Stability Analysis.- 4 Design of Feedback Controllers.- 5 Frequency Analysis.- 6 Improvement of Control Systems.- 7 State Representation, Controllability and Observability.- 8 Multivariable Control by Transfer Function Matrix.- 9 Discrete-Time Generalities and Basic Signal Processing.- 10 Identification Principles.- 11 Models and Methods for Parametric Identification.- 12 Parametric Estimation Algorithms.- 13 Digital Control.- 14 Optimal Control.- 15 Generalized Predictive Control.- 16 Model Predictive Control.- 17 Nonlinear Geometric Control.- 18 State Observers.- 19 Nonlinear Control of Reactors with State Estimation.- 20 Distillation Column Control.- 21 Examples and Benchmarks of Typical Processes.
