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Predictive control : fundamentals and developments /
"Systematically introduces fundamental concepts, basic algorithms, and applications of MPC -Includes a comprehensive overview of MPC development, emphasizing recent advances and modern approaches - Features numerous MPC models and structures, based on rigorous research -Based on the best-sellin...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore ; Hoboken, NJ :
John Wiley & Sons Singapore Pte. Ltd,
2019.
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| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Intro; Title Page; Copyright Page; Contents; Preface; Chapter 1 Brief History and Basic Principles of Predictive Control; 1.1 Generation and Development of Predictive Control; 1.2 Basic Methodological Principles of Predictive Control; 1.2.1 Prediction Model; 1.2.2 Rolling Optimization; 1.2.3 Feedback Correction; 1.3 Contents of this Book; References; Chapter 2 Some Basic Predictive Control Algorithms; 2.1 Dynamic Matrix Control (DMC) Based on the Step Response Model; 2.1.1 DMC Algorithm and Implementation; 2.1.2 Description of DMC in the State Space Framework
- 2.2 Generalized Predictive Control (GPC) Based on the Linear Difference Equation Model2.3 Predictive Control Based on the State Space Model; 2.4 Summary; References; Chapter 3 Trend Analysis and Tuning of SISO Unconstrained DMC Systems; 3.1 The Internal Model Control Structure of the DMC Algorithm; 3.2 Controller of DMC in the IMC Structure; 3.2.1 Stability of the Controller; 3.2.2 Controller with the One-Step Optimization Strategy; 3.2.3 Controller for Systems with Time Delay; 3.3 Filter of DMC in the IMC Structure; 3.3.1 Three Feedback Correction Strategies and Corresponding Filters
- 3.3.2 Influence of the Filter to Robust Stability of the System3.4 DMC Parameter Tuning Based on Trend Analysis; 3.5 Summary; References; Chapter 4 Quantitative Analysis of SISO Unconstrained Predictive Control Systems; 4.1 Time Domain Analysis Based on the Kleinman Controller; 4.2 Coefficient Mapping of Predictive Control Systems; 4.2.1 Controller of GPC in the IMC Structure; 4.2.2 Minimal Form of the DMC Controller and Uniform Coefficient Mapping; 4.3 Z Domain Analysis Based on Coefficient Mapping; 4.3.1 Zero Coefficient Condition and the Deadbeat Property of Predictive Control Systems
- 4.3.2 Reduced Order Property and Stability of Predictive Control Systems4.4 Quantitative Analysis of Predictive Control for Some Typical Systems; 4.4.1 Quantitative Analysis for First-Order Systems; 4.4.2 Quantitative Analysis for Second-Order Systems; 4.5 Summary; References; Chapter 5 Predictive Control for MIMO Constrained Systems; 5.1 Unconstrained DMC for Multivariable Systems; 5.2 Constrained DMC for Multivariable Systems; 5.2.1 Formulation of the Constrained Optimization Problem in Multivariable DMC; 5.2.2 Constrained Optimization Algorithm Based on the Matrix Tearing Technique
- 5.2.3 Constrained Optimization Algorithm Based on QP5.3 Decomposition of Online Optimization for Multivariable Predictive Control; 5.3.1 Hierarchical Predictive Control Based on Decomposition-Coordination; 5.3.2 Distributed Predictive Control; 5.3.3 Decentralized Predictive Control; 5.3.4 Comparison of Three Decomposition Algorithms; 5.4 Summary; References; Chapter 6 Synthesis of Stable Predictive Controllers; 6.1 Fundamental Philosophy of the Qualitative Synthesis Theory of Predictive Control; 6.1.1 Relationships between MPC and Optimal Control