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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Huang, Biao (Autor), Kadali, Ramesh (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Lecture Notes in Control and Information Sciences,
Temas:
Control engineering.
System theory.
Control theory.
Chemistry, Technical.
Multibody systems.
Vibration.
Mechanics, Applied.
Robotics.
Automation.
Dynamics.
Nonlinear theories.
Control and Systems Theory.
Systems Theory, Control .
Industrial Chemistry.
Multibody Systems and Mechanical Vibrations.
Control, Robotics, Automation.
Applied Dynamical Systems.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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