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

Intro -- 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 Systems -- 2.3.1 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 Example -- References -- 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.