Author: Juan Carlos Cockburn
Publisher:
ISBN:
Category :
Languages : en
Pages : 390
Book Description
A Structured Interpolation Approach to Robust Systems Synthesis
Author: Juan Carlos Cockburn
Publisher:
ISBN:
Category :
Languages : en
Pages : 390
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 390
Book Description
Dissertation Abstracts International
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 902
Book Description
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 902
Book Description
Nonlinear and Structured Interpolation for Robust Control
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
We have explored the problem of extending the linear H(infinity) theory to nonlinear systems, robust distributed parameter control, and the robust analysis and synthesis of controllers for systems in the presence of various classes of structured perturbations. We have employed operator theory, partial differential equations, optimization theory, and invariant theory to study the problem of utilizing visual information in a feedback loop and the closely related application of visual tracking. We have considered a combination of methods from robust control and computer vision for this purpose. Our approach to computer vision and image processing is based on certain novel curvature dependent evolution equations that may be employed for image enhancement, denoising, active contours, edge detection, morphology, shape recognition, shape-from-shading, stereo disparity, and optical flow. We have combined this with our longstanding work in robust control, and applying these ideas to certain benchmark problems in visual tracking.
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
We have explored the problem of extending the linear H(infinity) theory to nonlinear systems, robust distributed parameter control, and the robust analysis and synthesis of controllers for systems in the presence of various classes of structured perturbations. We have employed operator theory, partial differential equations, optimization theory, and invariant theory to study the problem of utilizing visual information in a feedback loop and the closely related application of visual tracking. We have considered a combination of methods from robust control and computer vision for this purpose. Our approach to computer vision and image processing is based on certain novel curvature dependent evolution equations that may be employed for image enhancement, denoising, active contours, edge detection, morphology, shape recognition, shape-from-shading, stereo disparity, and optical flow. We have combined this with our longstanding work in robust control, and applying these ideas to certain benchmark problems in visual tracking.
Research in Progress
International Aerospace Abstracts
Scientific and Technical Aerospace Reports
Structural Methods in the Study of Complex Systems
Author: Elena Zattoni
Publisher: Springer
ISBN: 3030185729
Category : Technology & Engineering
Languages : en
Pages : 290
Book Description
Structural Methods in the Study of Complex Systems helps the reader respond to the challenge of mastering complexity in systems and control. The book details the fundamental control problems arising from complex dynamical systems and shows how they can be tackled effectively by means of methods developed from graph theory, differential algebra and geometric approaches. These “structural methods” produce abstractions that fit a wide variety of applications by taking advantage of their intrinsic focus on the essential characteristics of dynamical systems, their geometric perspective and visual representation, and their algebraic formalization and ability to generate algorithmic frameworks to complement the theoretical treatment. The original work and latest achievements of the contributors, expanding on material presented at a workshop organized to coincide with the 2018 European Control Conference will assist systems and control scientists interested in developing theoretical and computational tools to solve analysis and synthesis problems involving complex dynamical systems. The contributions provide a comprehensive picture of available results along with a stimulating view of possible directions for future investigations in the field. Emphasis is placed on methods with solid computational background and on specific engineering applications so that readers from both theoretical and practical backgrounds will find this collection of use.
Publisher: Springer
ISBN: 3030185729
Category : Technology & Engineering
Languages : en
Pages : 290
Book Description
Structural Methods in the Study of Complex Systems helps the reader respond to the challenge of mastering complexity in systems and control. The book details the fundamental control problems arising from complex dynamical systems and shows how they can be tackled effectively by means of methods developed from graph theory, differential algebra and geometric approaches. These “structural methods” produce abstractions that fit a wide variety of applications by taking advantage of their intrinsic focus on the essential characteristics of dynamical systems, their geometric perspective and visual representation, and their algebraic formalization and ability to generate algorithmic frameworks to complement the theoretical treatment. The original work and latest achievements of the contributors, expanding on material presented at a workshop organized to coincide with the 2018 European Control Conference will assist systems and control scientists interested in developing theoretical and computational tools to solve analysis and synthesis problems involving complex dynamical systems. The contributions provide a comprehensive picture of available results along with a stimulating view of possible directions for future investigations in the field. Emphasis is placed on methods with solid computational background and on specific engineering applications so that readers from both theoretical and practical backgrounds will find this collection of use.
An Interpolation Theoretic Approach to Control
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 19
Book Description
Our work has been concerned with the utilization of new interpolation and operator theoretic methods for the study of problems in robust control. We have worked on possible nonlinear generalizations of H infinity optimization theory and investigated corresponding intriguing questions in causality which arise in this context. In regard to our work on mu-synthesis and analysis, as well as the multivariable gain margin problem, we have developed a new type of interpolation method which is not norm-based. This is in contrast to the classical Nevanlinna-Pick theory which is used in H infinity design. This line of research leads to spectral radius and structured interpolation extensions of the Nevanlinna-Pick framework. We have also discovered a new lifting technique for the robust stability analysis of systems with several kinds of structured perturbations. We worked in distributed (infinite dimensional) H infinity control based on our skew Toeplitz methods. These have been applied to certain benchmark examples, e.g., delay systems that appear in aircraft control, and certain flexible beam problems. We have also been applying new curve evolution methods for problems in visual tracking.
Publisher:
ISBN:
Category :
Languages : en
Pages : 19
Book Description
Our work has been concerned with the utilization of new interpolation and operator theoretic methods for the study of problems in robust control. We have worked on possible nonlinear generalizations of H infinity optimization theory and investigated corresponding intriguing questions in causality which arise in this context. In regard to our work on mu-synthesis and analysis, as well as the multivariable gain margin problem, we have developed a new type of interpolation method which is not norm-based. This is in contrast to the classical Nevanlinna-Pick theory which is used in H infinity design. This line of research leads to spectral radius and structured interpolation extensions of the Nevanlinna-Pick framework. We have also discovered a new lifting technique for the robust stability analysis of systems with several kinds of structured perturbations. We worked in distributed (infinite dimensional) H infinity control based on our skew Toeplitz methods. These have been applied to certain benchmark examples, e.g., delay systems that appear in aircraft control, and certain flexible beam problems. We have also been applying new curve evolution methods for problems in visual tracking.
Control and Dynamic Systems V50: Robust Control System Techniques and Applications
Author: C.T. Leonides
Publisher: Elsevier
ISBN: 0323163025
Category : Technology & Engineering
Languages : en
Pages : 480
Book Description
Control and Dynamic Systems: Advances in Theory and Applications, Volume 50: Robust Control System Techniques and Applications, Part 1 of 2 is a two-volume sequence devoted to the issues and application of robust control systems techniques. This volume is composed of 10 chapters and begins with a presentation of the important techniques for dealing with conflicting design objectives in control systems. The subsequent chapters describe the robustness techniques of systems using differential-difference equations; the design of a wide class of robust nonlinear systems, the techniques for dealing with the problems resulting from the use of observers in robust systems design, and the effective techniques for the robust control on non-linear time varying of tracking control systems with uncertainties. These topics are followed by discussions of the effective techniques for the robust control on non-linear time varying of tracking control systems with uncertainties and for incorporating adaptive control techniques into a (non-adaptive) robust control design. Other chapters present techniques for achieving exponential and robust stability for a rather general class of nonlinear systems, techniques in modeling uncertain dynamics for robust control systems design, and techniques for the optimal synthesis of these systems. The last chapters provide a generalized eigenproblem solution for both singular and nonsingular system cases. These chapters also look into the stability robustness design for discrete-time systems. This book will be of value to process and systems engineers, designers, and researchers.
Publisher: Elsevier
ISBN: 0323163025
Category : Technology & Engineering
Languages : en
Pages : 480
Book Description
Control and Dynamic Systems: Advances in Theory and Applications, Volume 50: Robust Control System Techniques and Applications, Part 1 of 2 is a two-volume sequence devoted to the issues and application of robust control systems techniques. This volume is composed of 10 chapters and begins with a presentation of the important techniques for dealing with conflicting design objectives in control systems. The subsequent chapters describe the robustness techniques of systems using differential-difference equations; the design of a wide class of robust nonlinear systems, the techniques for dealing with the problems resulting from the use of observers in robust systems design, and the effective techniques for the robust control on non-linear time varying of tracking control systems with uncertainties. These topics are followed by discussions of the effective techniques for the robust control on non-linear time varying of tracking control systems with uncertainties and for incorporating adaptive control techniques into a (non-adaptive) robust control design. Other chapters present techniques for achieving exponential and robust stability for a rather general class of nonlinear systems, techniques in modeling uncertain dynamics for robust control systems design, and techniques for the optimal synthesis of these systems. The last chapters provide a generalized eigenproblem solution for both singular and nonsingular system cases. These chapters also look into the stability robustness design for discrete-time systems. This book will be of value to process and systems engineers, designers, and researchers.
Systems Evolutionary Biology
Author: Bor-Sen Chen
Publisher: Academic Press
ISBN: 0128140739
Category : Medical
Languages : en
Pages : 392
Book Description
Systems Evolutionary Biology: Biological Network Evolution Theory, Stochastic Evolutionary Game Strategies, and Applications to Systems Synthetic Biology discusses the evolutionary game theory and strategies of nonlinear stochastic biological networks under random genetic variations and environmental disturbances and their application to systematic synthetic biology design. The book provides more realistic stochastic biological system models to mimic the real biological systems in evolutionary process and then introduces network evolvability, stochastic evolutionary game theory and strategy based on nonlinear stochastic networks in evolution. Readers will find remarkable, revolutionary information on genetic evolutionary biology that be applied to economics, engineering and bioscience. - Explains network fitness, network evolvability and network robustness of biological networks from the systematic perspective - Discusses the evolutionary noncooperative and cooperative game strategies of biological networks - Offers detailed diagrams to help readers understand biological networks, their systematic behaviors and the simulational results of evolutionary biological networks - Includes examples in every chapter with computational simulation to illustrate the solution procedure of evolutionary theory, strategy and results
Publisher: Academic Press
ISBN: 0128140739
Category : Medical
Languages : en
Pages : 392
Book Description
Systems Evolutionary Biology: Biological Network Evolution Theory, Stochastic Evolutionary Game Strategies, and Applications to Systems Synthetic Biology discusses the evolutionary game theory and strategies of nonlinear stochastic biological networks under random genetic variations and environmental disturbances and their application to systematic synthetic biology design. The book provides more realistic stochastic biological system models to mimic the real biological systems in evolutionary process and then introduces network evolvability, stochastic evolutionary game theory and strategy based on nonlinear stochastic networks in evolution. Readers will find remarkable, revolutionary information on genetic evolutionary biology that be applied to economics, engineering and bioscience. - Explains network fitness, network evolvability and network robustness of biological networks from the systematic perspective - Discusses the evolutionary noncooperative and cooperative game strategies of biological networks - Offers detailed diagrams to help readers understand biological networks, their systematic behaviors and the simulational results of evolutionary biological networks - Includes examples in every chapter with computational simulation to illustrate the solution procedure of evolutionary theory, strategy and results