Model predictive control in the process industry : with 89 figures / E.F. Camacho and C. Bordons.
Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal con...
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Full Text (via Springer) |
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| Main Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
London :
Springer London,
1995.
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| Series: | Advances in industrial control.
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| Subjects: |
MARC
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| 245 | 1 | 0 | |a Model predictive control in the process industry : |b with 89 figures / |c E.F. Camacho and C. Bordons. |
| 264 | 1 | |a London : |b Springer London, |c 1995. | |
| 264 | 4 | |c ©1995. | |
| 300 | |a 1 online resource (xviii, 239 pages) : |b illustrations. | ||
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| 490 | 1 | |a Advances in Industrial Control, |x 1430-9491. | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Introduction to model based predictive control -- Model based predictive controllers --Simple implementation of GPC for industrial processes -- Robustness analysis in precomputed GPC -- Multivariate GPC -- Constrained MPC -- Robust MPC -- Applications. | |
| 520 | |a Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors. | ||
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| 588 | |a Description based on print version record. | ||
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| 700 | 1 | |a Bordons-Alba, Carlos, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Camacho, E. F. |t Model predictive control in the process industry. |d London ; New York : Springer-Verlag, ©1995 |z 3540199241 |w (DLC) 94047060 |w (OCoLC)31814817. |
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