Process Control

Theory and Applications

By: Jean-Pierre Corriou

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Hardcover | 21 April 2004

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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.

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You Can Find This Book In

Non-Fiction Engineering & Technology Industrial Chemistry & Manufacturing Technologies Industrial Chemistry Energy Technology & Engineering Electrical Engineering Biochemical Engineering Science Technology in General Engineering in General Computing & I.T.Computer Science

Artificial Intelligence Electronics & Communications Engineering Electronics Engineering Automatic Control Engineering Robotics

Continuous-time Control
Dynamic Modelling of Chemical Processes
Linear Feedback Control
Stability Analysis
Design of Feedback Controllers
Frequency Analysis
Improvement of Control Systems
State Representation, Controllability and 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
Nonlinear Control
Nonlinear Geometric Control
State Observers
Applications to Processes
Nonlinear Control of Reactors with State Estimation
Distillation Column Control
Examples and Benchmarks of Typical Processes
Table of Contents provided by Publisher. All Rights Reserved.

Process Control

Theory and Applications

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