Root Clustering in Parameter Space

This book deals with algebraic criteria for root clustering (inclusion) in general regions in the complex plane. It is based on the view that there are three approaches to root clustering: composite matrices and polynomial symmetric matrices, and rational mappings. The book presents two main results of potential benefit to the reader. First, given a linear dynamical system, it is possible to analyze its relative stability. Second, for that system it is possible to construct a dynamic controller of fixed order for closed loop relative stability. The reader is assumed to have some knowledge of linear algebra and the theory of complex variables. The book is aimed at systems and control researchers, mathematicians and physicists.

Root Clustering in Parameter Space features in the following genres: Automatic control engineering, Cybernetics and systems theory, Optimization, Engineering: general, Maths for engineers

Root Clustering in Parameter Space is available in Paperback

Root Clustering in Parameter Space was written by Shaul Gutman and published by Springer an imprint of Springer Berlin Heidelberg

Root Clustering in Parameter Space has 157 pages

Yes it is part of Lecture Notes in Control and Information Sciences series