Cover image for Iterative Algorithms For Multilayer Optimizing Control.
Iterative Algorithms For Multilayer Optimizing Control.
Title:
Iterative Algorithms For Multilayer Optimizing Control.
Author:
Brdys, Mietek A.
ISBN:
9781860947247
Personal Author:
Physical Description:
1 online resource (388 pages)
Contents:
Preface -- Acknowledgements -- Notation and Acronyms -- Notation -- Acronyms -- Contents -- Chapter 1 Multilayer Control -- 1.1 Control System -- 1.2 Hierarchical Control Structures -- 1.2.1 Functional multilayer structure -- 1.2.2 Temporal multilayer structure -- 1.3 Decomposition and Modeling in Functional Multilayer Structure -- 1.4 Optimizing Control -- 1.5 Multilayer Control of Integrated Wastewater System: A Case Study -- 1.5.1 Presentation of integrated wastewater system at Kartuzy in Poland -- 1.5.2 Control objectives -- 1.5.3 Control structure -- Chapter 2 Optimizing Control Layer -- 2.1 Process Descriptions and Control Task Formulation -- 2.1.1 Process description -- 2.1.2 Optimizing control and optimal control problems -- 2.1.3 The steady-state case -- 2.1.4 Implementation of the set-point step changes -- 2.2 Steady-State Model Optimization -- 2.3 Steady-State Optimizing Control -- 2.3.1 Basic control structures and strategies -- 2.3.2 Problems with constraints on process outputs -- Chapter 3 Iterative Correction with Disturbance Estimation -- 3.1 Correction Algorithm for Problems with Unconstrained Outputs -- 3.2 Correction Algorithm for Structures with Feedback Controlled Output Constraints -- Chapter 4 Integrated System Optimization and Parameter Estimation (ISOPE) -- 4.1 Algorithm Structure -- 4.2 Convergence and Optimality -- 4.3 On-line Estimation of Process Mapping Derivatives -- 4.4 Dual ISOPE Algorithm -- 4.5 Dual ISOPE Algorithm with Optimized Initial Phase -- 4.6 Comparative Simulation Study -- 4.7 Case Study Examples -- Chapter 5 ISOPE for Problems with Output Constraints -- 5.1 Feedback Controlled Output Constraints -- 5.1.1 Process with constraint controllers -- 5.1.2 Basic ISOPE algorithm -- 5.1.3 Dual ISOPE algorithm -- 5.1.4 Simulation studies -- 5.2 Algorithmic Implementation of Output Constraints.

5.2.1 Problem formulation and analysis -- 5.2.2 Algorithm 1 -- 5.2.3 Algorithm 2 -- 5.2.4 Illustrative simulation example -- 5.3 ISOPE as Optimization Algorithm for Nonlinear Models -- Chapter 6 Iterative Algorithms for Dynamic Optimizing Control -- 6.1 Optimizing Control of Batch Processes -- 6.1.1 Control task formulation -- 6.1.2 Optimizing control algorithm structure -- 6.1.3 Implementation of DISOPE algorithm -- 6.2 ISOPE for Traveling Load Furnace Control: A Case Study -- 6.2.1 Introduction -- 6.2.2 Description of the process, measurement instrumentation and control architecture and hardware -- 6.2.3 Defining the batch for the pilot-scale traveling load furnace -- 6.2.4 Mathematical model of the batch and the parameter estimation problem -- 6.2.5 Performance function -- 6.2.6 Dynamic modified model-based optimization problem -- 6.2.7 Reducing number of control signals -- Chapter 7 Optimizing Control of Interconnected Systems -- 7.1 The Interconnected System Description and Modeling -- 7.2 Iterative Correction by Interaction Balance Method with Feedback -- 7.2.1 Presentation of the method -- 7.2.2 Coordination strategies -- 7.2.3 Simulation studies -- 7.3 ISOPE Double-Loop Iterative Algorithms with Input-Output Measurements -- 7.3.1 ISOPE double-loop iterative algorithms -- 7.3.2 Double-loop iterative algorithms with input-output measurements -- 7.3.3 System-based double-loop algorithm -- 7.3.4 Model-based double-loop algorithms -- 7.3.5 Simulation studies -- 7.4 ISOPE Double-Loop Iterative Algorithms with Output Measurements -- 7.4.1 Structure -- 7.4.2 Optimality -- 7.4.3 System-based double-loop algorithm -- 7.4.4 Model-based double-loop algorithms -- 7.4.5 Simulation studies -- Appendix A Proof of Theorem 4.1 -- Appendix B Proofs of Theorems 7.1, 7.2 and 7.3 -- B.1 Proof of Theorem 7.1 -- B.2 Proof of Theorem 7.2 -- B.3 Proof of Theorem 7.3.

Bibliography -- Index.
Abstract:
The book presents basic structures, concepts and algorithms in the area of multilayer optimizing control of industrial systems, as well as the results of the research that was carried out by the authors over the last two decades. The methodologies and control algorithms are thoroughly illustrated by numerous simulation examples. Also, the applications to several case study examples are presented. These include ethylene distillation column, vaporizer pilot scale plant, styrene distillation line consisting of three columns and industrial furnace pilot scale plant. A temporal decomposition is applied to the Integrated Wastewater System case study to derive multilayer dynamic optimizing controller with repetitive robust model predictive control mechanism distributed over the layers operating in different time scales.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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