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Economic Model Predictive Control : Theory, Formulations and Chemical Process Applications.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ellis, Matthew
Otros Autores: Liu, Jinfeng, Christofides, Panagiotis D.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing, 2016.
Colección:Advances in industrial control.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Series Editors' Foreword; Preface; Contents; List of Figures; List of Tables; 1 Introduction; 1.1 Motivation; 1.2 Tracking Versus Economic Model Predictive Control: A High-Level Overview; 1.3 Chemical Processes and Time-Varying Operation; 1.3.1 Catalytic Oxidation of Ethylene; 1.3.2 Continuously-Stirred Tank Reactor with Second-Order Reaction; 1.4 Objectives and Organization of the Book; References; 2 Background on Nonlinear Systems, Control, and Optimization; 2.1 Notation; 2.2 Stability of Nonlinear Systems; 2.2.1 Lyapunov's Direct Method; 2.2.2 LaSalle's Invariance Principle.
  • 2.3 Stabilization of Nonlinear Systems2.3.1 Control Lyapunov Functions; 2.3.2 Stabilization of Nonlinear Sampled-Data Systems; 2.3.3 Tracking Model Predictive Control; 2.3.4 Tracking Lyapunov-Based MPC; 2.4 Brief Review of Nonlinear and Dynamic Optimization; 2.4.1 Notation; 2.4.2 Definitions and Optimality Conditions; 2.4.3 Nonlinear Optimization Solution Strategies; 2.4.4 Dynamic Optimization; References; 3 Brief Overview of EMPC Methods and Some Preliminary Results; 3.1 Background on EMPC Methods; 3.1.1 Class of Nonlinear Systems; 3.1.2 EMPC Methods.
  • 3.2 Application of EMPC to a Chemical Process ExampleReferences; 4 Lyapunov-Based EMPC: Closed-Loop Stability, Robustness, and Performance; 4.1 Introduction; 4.2 Lyapunov-Based EMPC Design and Implementation; 4.2.1 Class of Nonlinear Systems; 4.2.2 Stabilizability Assumption; 4.2.3 LEMPC Formulation; 4.2.4 Implementation Strategy; 4.2.5 Satisfying State Constraints; 4.2.6 Extensions and Variants of LEMPC; 4.3 Closed-Loop Stability and Robustness Under LEMPC; 4.3.1 Synchronous Measurement Sampling; 4.3.2 Asynchronous and Delayed Sampling; 4.3.3 Application to a Chemical Process Example.
  • 4.4 Closed-Loop Performance Under LEMPC4.4.1 Stabilizability Assumption; 4.4.2 Formulation and Implementation of the LEMPC with a Terminal Equality Constraint; 4.4.3 Closed-Loop Performance and Stability Analysis; 4.5 LEMPC with a Time-Varying Stage Cost; 4.5.1 Class of Economic Costs and Stabilizability Assumption; 4.5.2 The Union of the Stability Regions; 4.5.3 Formulation of LEMPC with Time-Varying Economic Cost; 4.5.4 Implementation Strategy; 4.5.5 Stability Analysis; 4.5.6 Application to a Chemical Process Example; 4.6 Conclusions; References; 5 State Estimation and EMPC.
  • 5.1 Introduction5.1.1 System Description; 5.1.2 Stabilizability Assumption; 5.2 High-Gain Observer-Based EMPC Scheme; 5.2.1 State Estimation via High-Gain Observer; 5.2.2 High-Gain Observer-Based EMPC; 5.2.3 Closed-Loop Stability Analysis; 5.2.4 Application to a Chemical Process Example; 5.3 RMHE-Based EMPC Scheme; 5.3.1 Observability Assumptions; 5.3.2 Robust MHE; 5.3.3 RMHE-Based EMPC; 5.3.4 Stability Analysis; 5.3.5 Application to a Chemical Process Example; 5.4 Conclusions; References; 6 Two-Layer EMPC Systems; 6.1 Introduction; 6.1.1 Notation.