Time delays are important components of dynamical systems, whether in engineering, physics, economics, or the life sciences. Through a unifying eigenvalue-based framework, this monograph presents an overall solution to stability analysis, stabilization, and the robust fixed-order control problem for time-delay systems. The authors offer a range of both analytical methods and numerical algorithms, applicable to a broad class of linear time-delay systems that includes retarded- as well as neutral-type systems. Integrating leading-edge research from control theory, optimization, numerical linear algebra and bifurcation analysis, this book has high relevance across systems and control theory, computer science, applied mathematics and computational mathematics alike. New to this edition is the inclusion of both retarded-type and neutral-type systems; a broader scope of solution includes not only stabilization but the design of robust and optimal controllers; while an increased range of applications from electrical engineering to biology showcases the effectiveness and generality of the solution more effectively.
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Wim Michiels is an associate professor at KU Leuven, where he leads a research team within the Numerical Analysis and Applied Mathematics Division. He has coauthored more than 75 journal papers in the areas of control and optimization and computational and applied mathematics, coauthored the monograph Stability and Stabilization of Time‐Delay Systems: An Eigenvalue-Based Approach (SIAM, 2007), and coedited three other books.
Silviu-Iulian Niculescu is senior researcher at CNRS at the Laboratory of Signals and Systems (L2S), CNRS-Supélec, Gif-sur-Yvette, France. In 2006 he joined the L2S, which he has headed since January 2010. He is the coauthor of more than 400 book chapters, journal papers, and communications in international conferences, has coauthored five books, and is coeditor of six multiauthor volumes.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : New. Second Edition. Time delays are important components of many systems in, for instance, engineering, physics, economics, and the life sciences, because the transfer of material, energy, and information is usually not instantaneous. Time delays may appear as computation and communication lags, they model transport phenomena and heredity, and they arise as feedback delays in control loops. This monograph addresses the problem of stability analysis, stabilization, and robust fixed-order control of dynamical systems subject to delays, including both retarded- and neutral-type systems. Within the eigenvalue-based framework, an overall solution is given to the stability analysis, stabilization, and robust control design problem, using both analytical methods and numerical algorithms and applicable to a broad class of linear time-delay systems.In this revised edition, the authors:Make the leap from stabilization to the design of robust and optimal controllers and from retarded-type to neutral-type delay systems, thus enlarging the scope of the book within control.Include new, state-of-the-art material on numerical methods and algorithms to broaden the book's focus and to reach additional research communities, in particular numerical linear algebra and numerical optimization.Increase the number and range of applications to better illustrate the effectiveness and generality of their approach.In this revised edition, the authors make the leap from stabilization to the design of robust and optimal controllers and from retarded-type to neutral-type delay systems, thus enlarging the scope of the book within control; include new, state-of-the-art material on numerical methods and algorithms to broaden the book's focus and to reach additional research communities, in particular numerical linear algebra and numerical optimization; and increase the number and range of applications to better illustrate the effectiveness and generality of their approach. N° de réf. du vendeur LU-9781611973624
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