Matrix Diagonal Stability in Systems and Computation

  • Eugenius Kaszkurewicz
  • Amit Bhaya

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Eugenius Kaszkurewicz, Amit Bhaya
    Pages 1-24
  3. Eugenius Kaszkurewicz, Amit Bhaya
    Pages 25-89
  4. Eugenius Kaszkurewicz, Amit Bhaya
    Pages 90-127
  5. Eugenius Kaszkurewicz, Amit Bhaya
    Pages 128-153
  6. Eugenius Kaszkurewicz, Amit Bhaya
    Pages 154-191
  7. Eugenius Kaszkurewicz, Amit Bhaya
    Pages 192-230
  8. Back Matter
    Pages 231-267

About this book


This monograph presents a collection of results, observations, and examples related to dynamical systems described by linear and nonlinear ordinary differential and difference equations. In particular, dynamical systems that are susceptible to analysis by the Liapunov approach are considered. The naive observation that certain "diagonal-type" Liapunov functions are ubiquitous in the literature attracted the attention of the authors and led to some natural questions. Why does this happen so often? What are the spe­ cial virtues of these functions in this context? Do they occur so frequently merely because they belong to the simplest class of Liapunov functions and are thus more convenient, or are there any more specific reasons? This monograph constitutes the authors' synthesis of the work on this subject that has been jointly developed by them, among others, producing and compiling results, properties, and examples for many years, aiming to answer these questions and also to formalize some of the folklore or "cul­ ture" that has grown around diagonal stability and diagonal-type Liapunov functions. A natural answer to these questions would be that the use of diagonal­ type Liapunov functions is frequent because of their simplicity within the class of all possible Liapunov functions. This monograph shows that, although this obvious interpretation is often adequate, there are many in­ stances in which the Liapunov approach is best taken advantage of using diagonal-type Liapunov functions. In fact, they yield necessary and suffi­ cient stability conditions for some classes of nonlinear dynamical systems.


Matrix control control engineering dynamical systems dynamische Systeme matrix computations neural network neural networks stability stability of dynamical systems stabilization

Authors and affiliations

  • Eugenius Kaszkurewicz
    • 1
  • Amit Bhaya
    • 1
  1. 1.Department of Electrical EngineeringFederal University of Rio de Janeiro, COPPE/UFRJRio de JaneiroBrazil

Bibliographic information