Decentralized Systems with Design Constraints [electronic resource] /
Mahmoud, Magdi S.author.
Decentralized Systems with Design Constraints provides a rigorous framework for examining the analysis, stability and control of large-scale systems, and addressing the difficulties that arise because of dimensionality, information structure constraints, parametric uncertainty and time-delays. The achievements of this monograph are three-fold. It: ·         reviews past methods and results from a contemporary perspective; ·         examines present trends and approaches to provide future possibilities; and ·         investigates robust, reliable and/or resilient decentralized design methods based on a linear matrix inequalities framework. As well as providing an overall assessment of large-scale systems theories over the past several decades, the author presents key related concepts and efficient computational methods. Representative numerical examples, end-of-chapter problems, and typical system applications are included, and theoretical developments and practical applications of large-scale (interconnected) dynamical systems are discussed in depth.
Description based upon print version of record.
Decentralized Systems with Design Constraints; Preface; Acknowledgements; Contents; Abbreviations; Chapter 1: Introduction; 1.1 Introduction; 1.2 Feedback Control; 1.2.1 Information Structure; 1.2.2 System Representation; 1.2.3 Team Problems; 1.2.4 General Methodologies; 1.2.5 Hierarchical Systems; 1.3 Outline of the Book; 1.3.1 Methodology; 1.3.2 Book Organization; References; Chapter 2: Decentralized Control of Nonlinear Systems I; 2.1 Classes of Nonlinear Interconnected Systems; 2.1.1 Class I; 2.1.1.1 System Description; 2.1.2 Class II; 2.1.2.1 System Description; 2.1.3 Class III
2.1.3.1 System Description2.2 Dynamic Output Feedback: Class I; 2.2.1 Observer-Based Control Design; 2.2.1.1 Full Order Observer; 2.2.1.2 Reduced Order Observer; 2.2.1.3 Important Special Case; 2.2.2 Simulation Example 2.1; 2.2.3 Simulation Example 2.2; 2.2.4 Simulation Example 2.3; 2.2.5 Dynamic Control Design; 2.2.6 Robust Decentralized Design; 2.2.7 Simulation Example 2.4; 2.3 Robust Control Design: Class II; 2.3.1 Construction Procedure; 2.3.2 Recursive Design; 2.3.3 Simulation Example 2.5; 2.4 Decentralized Tracking: Class III; 2.4.1 Partially Decentralized Observer
2.4.2 Design Procedure2.4.3 Design Results; 2.5 Decentralized Guaranteed Cost Control; 2.5.1 Analysis of Robust Performance; 2.5.2 Including Input Delays; 2.5.3 Decentralized Design Results; 2.6 Global Robust Stabilization; 2.6.1 Introduction; 2.6.2 Problem Formulation and Assumptions; 2.6.3 Robust Control Design; 2.6.4 Simulation Example 2.7; 2.6.5 Proof of Lemma 2.8; 2.7 Notes and References; References; Chapter 3: Decentralized Control of Nonlinear Systems II; 3.1 Introduction; 3.1.1 System Description; 3.1.2 Robust Control Design; 3.1.3 Recursive Method; 3.1.4 Simulation Example 3.1
3.2 Global Almost Disturbance Decoupling3.2.1 Introduction; 3.3 Decentralized Hinfty Control; 3.3.1 The Local Disturbance Problem; 3.3.2 Results for Non-minimum Phase Systems; 3.4 Global Inverse Control of Nonlinear Systems; 3.4.1 Disturbance Attenuating Trackers; 3.4.2 System Description; 3.4.3 Output Feedback Tracking; 3.4.4 Partially Decentralized Observer; 3.4.5 Controller Design Procedure; Step j.1.; Step j.k (2 3.5.3 Simulation Results3.6 Decentralized Control with Guaranteed Performance; 3.6.1 Introduction; 3.6.2 Dynamical Model of Multimachine Power System; 3.6.3 Guaranteed Cost Controller Design; 3.6.4 Robust Performance Analysis; 3.6.5 Guaranteed Cost Controller Design; 3.6.6 Simulation Results; 3.7 Notes and References; References; Chapter 4: Decentralized Systems with Multi-controllers; 4.1 Introduction; 4.2 Decentralized Stabilization of Multi-channel Systems; 4.2.1 Introduction; 4.2.2 Problem Statement; 4.2.3 Decentralized Stabilization; 4.2.4 Simulation Example 4.1
4.3 Resilient Stabilization of Interconnected Networked Systems
Includes bibliographical references and index.
Decentralized Systems with Design Constraints provides a rigorous framework for examining the analysis, stability and control of large-scale systems, and addressing the difficulties that arise because of dimensionality, information structure constraints, parametric uncertainty and time-delays. The achievements of this monograph are three-fold. It: ·         reviews past methods and results from a contemporary perspective; ·         examines present trends and approaches to provide future possibilities; and ·         investigates robust, reliable and/or resilient decentralized design methods based on a linear matrix inequalities framework. As well as providing an overall assessment of large-scale systems theories over the past several decades, the author presents key related concepts and efficient computational methods. Representative numerical examples, end-of-chapter problems, and typical system applications are included, and theoretical developments and practical applications of large-scale (interconnected) dynamical systems are discussed in depth.
Control engineering.
Electrical engineering.
Computer communication systems.
Vibration.
Dynamical systems.
Dynamics.
Control and Systems Theory.
Communications Engineering, Networks.
Computer Communication Networks.
Vibration, Dynamical Systems, Control.