This paper presents a survey of the most significant results on robust control theory. In
particular, we study the modeling of uncertain systems, robust stability analysis for systems …

For both their theoretical and practical impact, time-delay systems have been an enduring
theme in the study of differential equations, stochastic processes, game theory, and systems …

The presence of uncertainty in a system description has always been a critical issue in
control. The main objective of Randomized Algorithms for Analysis and Control of Uncertain …

The purpose of this paper is twofold:(a) to provide a tutorial introduction to some key
concepts from the theory of computational complexity, highlighting their relevance to …

Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …

A few words on the second edition. By a nice coincidence, Springer's proposal to revise the
book came when I was giving a serious thought to the idea. Ten years have passed and my …

In this paper we study semidefinite programming (SDP) models for a class of discrete and
continuous quadratic optimization problems in the complex Hermitian form. These problems …

In this paper we study the approximation algorithms for a class of discrete quadratic
optimization problems in the Hermitian complex form. A special case of the problem that we …

We show that the boundedness of the set of all products of a given pair Σ of rational matrices
is undecidable. Furthermore, we show that the joint (or generalized) spectral radius ρ (Σ) is …

In this paper, robust stability for linear systems with several uncertain (complex and/or real)
scalar parameters is studied. A countable family of conditions sufficient for robust stability is …