Dynamic Modeling, Predictive Control and Performance Monitoring A Data-driven Subspace Approach /

• 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: Engineering.; Chemical engineering.; System theory.; Complexity, Computational.; Vibration.; Dynamical systems.; Dynamics.; Control engineering.; Robotics.; Mechatronics.; Control.; Systems Theory, Control.; Industrial Chemistry/Chemical Engineering.; Vibration, Dynamical Systems, Control.; Control, Robotics, Mechatronics.; Complexity.

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...

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.