|
||||||||
|
|
||||||||
|
Process Control 772 pages - hardback Springer-Verlag UK - (isbn 1-85233-776-1) Mar. 2004 |
|
|||||||
| Price: |
153,90 EUR
|
|||||||
| Author(s): |
Corriou, Jean-Pierre
|
|||||||
| 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 List: |
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 * Multivariable control: multivariable
control by transfer function matrix * Discrete time identification:
discrete time generalities and basic signal processing; identification
principles; models and methods for parametric identification;
parametric estimation algorithms * Discrete time control: optimal
control; generalized predictive control; model predictive control *
Non-linear control: non-linear geometric control; state observers;
applications to processes: non-linear control of reactors; distillation
column control; examples and benchmarks of typical processes.
|
|||||||
| Illustrations etc.: |
339 illustrations
|
|||||||
| Weight: | 1202 g | |||||||
| Dimensions: | 240 | |||||||
| Publisher: | Springer-Verlag London Ltd | |||||||
| Springer-Verlag | ||||||||