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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Huang, Biao (Συγγραφέας), Kadali, Ramesh (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London, 2008.
Σειρά:Lecture Notes in Control and Information Sciences, 374
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.