Dynamic Modeling, Predictive Control and Performance Monitoring : A Data-driven Subspace Approach
A typical design procedure for model predictive control or control performance monitoring consists of: 1. identification of a parametric or nonparametric model; 2. derivation of the output predictor from the model; 3. design of the control law or calculation of performance indices according to the p...
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| Glavni autori: | , |
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| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
London :
Springer London
2008.
Cham : Springer Nature |
| Serija: | Lecture Notes in Control and Information Sciences
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| Teme: | |
| Online pristup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Bilješka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Dynamic Modeling, Predictive Control and Performance Monitoring, Texte imprimé, 9781848007215 • Dynamic modeling, predictive control and performance monitoring, a data-driven subspace approach, Biao Huang, Ramesh Kadali, Berlin, Springer, 2008, 1 vol. (XXIV- 240 p.), Lecture notes in control and information sciences, 978-1-8480-0232-6 |
Sadržaj:
- I Dynamic Modeling through Subspace Identification
- System Identification: Conventional Approach
- Open-loop Subspace Identification
- Closed-loop Subspace Identification
- Identification of Dynamic Matrix and Noise Model Using Closed-loop Data
- II Predictive Control
- Model Predictive Control: Conventional Approach
- Data-driven Subspace Approach to Predictive Control
- III Control Performance Monitoring
- Control Loop Performance Assessment: Conventional Approach
- State-of-the-art MPC Performance Monitoring
- Subspace Approach to MIMO Feedback Control Performance Assessment
- Prediction Error Approach to Feedback Control Performance Assessment
- Performance Assessment with LQG-benchmark from Closed-loop Data.