Control Of Complex And Uncertain Systems
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Control of Complex and Uncertain Systems
Author: Stanislav V. Emelyanov
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Control of Complex and Uncertain Systems examines feedback controller design for dynamical systems. It gives a compact presentation of the evolution of feedback theory and feedback design methods, before presenting a new theoretical approach to feedback control. Traditionally, the lack of standard procedures for the design of feedback controls that will be subject to uncertain conditions, coupled with a limited understanding of how feedback mechanisms will react to those uncertain conditions, has presented a problem. This book presents a standard principle, as well as concrete methods, for feedback design. It equally aims to increase our understanding of how feedback controllers react to uncertain forces. In doing so it lays the theoretical basis for a new generation of perfect automatic systems. Topics covered include: - Synthesis of Nonlinear Controllers - Higher Degree Sliding Modes - Theory of Coordinate-Operator Feedback / Theory of Operator-Coordinate Feedback - Physical Foundations of the Compensation for Disturbances, and Stabilization of Forced Motion in Binary Systems - Signal Differentiation - Suboptimal Stabilization of an Uncertain Object
Risk Analysis of Complex and Uncertain Systems
Author: Louis Anthony Cox Jr.
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-06-12
In Risk Analysis of Complex and Uncertain Systems acknowledged risk authority Tony Cox shows all risk practitioners how Quantitative Risk Assessment (QRA) can be used to improve risk management decisions and policies. It develops and illustrates QRA methods for complex and uncertain biological, engineering, and social systems – systems that have behaviors that are just too complex to be modeled accurately in detail with high confidence – and shows how they can be applied to applications including assessing and managing risks from chemical carcinogens, antibiotic resistance, mad cow disease, terrorist attacks, and accidental or deliberate failures in telecommunications network infrastructure. This book was written for a broad range of practitioners, including decision risk analysts, operations researchers and management scientists, quantitative policy analysts, economists, health and safety risk assessors, engineers, and modelers.
Control of Complex Systems
Author: Aleksandar Zecevic
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-01-08
"Control of Complex Systems: Structural Constraints and Uncertainty" focuses on control design under information structure constraints, with a particular emphasis on large-scale systems. The complexity of such systems poses serious computational challenges and severely restricts the types of feedback laws that can be used in practice. This book systematically addresses the main issues, and provides a number of applications that illustrate potential design methods, most which use Linear Matrix Inequalities (LMIs), which have become a popular design tool over the past two decades. Authors Aleksandar I. Zecevic and Dragoslav D. Siljak use their years of experience in the control field to also: Address the issues of large-scale systems as they relate to robust control and linear matrix inequalities Discuss a new approach to applying standard LMI techniques to large-scale systems, combining graphic-theoretic decomposition techniques with appropriate low-rank numerical approximations and dramatically reducing the computational effort Providing numerous examples and a wide variety of applications, ranging from electric power systems and nonlinear circuits to mechanical problems and dynamic Boolean networks "Control of Complex Systems: Structural Constraints and Uncertainty" will appeal to practicing engineers, researchers and students working in control design and other related areas.