| Description |
1 online resource (xix, 332 pages) : illustrations |
| Series |
Advances in industrial control |
|
Advances in industrial control.
|
| Contents |
Multilayer Control Structure -- Model-based Fuzzy Control -- Model-based Predictive Control -- Set-point Optimization |
| Summary |
"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." "Starting from important and well-known techniques (supplemented with the original work of the author), the book includes recent research results mainly concerned with nonlinear advanced feedback control and set-point optimisation. It is addressed to readers interested in the important basic mechanisms of advanced control, including engineers and practitioners, as well as research staff and post-graduate students."--Jacket |
| Bibliography |
Includes bibliographical references (pages 317-325) and index |
| Notes |
English |
|
Print version record |
| In |
Springer e-books |
| Subject |
Predictive control -- Mathematics
|
|
Fuzzy algorithms.
|
|
TECHNOLOGY & ENGINEERING -- Automation.
|
|
TECHNOLOGY & ENGINEERING -- Robotics.
|
|
Fuzzy algorithms.
|
|
Predictive control -- Mathematics.
|
|
Ingénierie.
|
|
Fuzzy algorithms
|
| Form |
Electronic book
|
| LC no. |
2006936016 |
| ISBN |
9781846286353 |
|
1846286352 |
|
6610803706 |
|
9786610803705 |
|
