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Stability of Time-Delay Systems

TLDR
Preface, Notations 1.Introduction to Time-Delay Systems I.Robust Stability Analysis II.Input-output stability A.LMI and Quadratic Integral Inequalities Bibliography Index
Abstract
Preface, Notations 1.Introduction to Time-Delay Systems I.Frequency-Domain Approach 2.Systems with Commensurate Delays 3.Systems withIncommensurate Delays 4.Robust Stability Analysis II.Time Domain Approach 5.Systems with Single Delay 6.Robust Stability Analysis 7.Systems with Multiple and Distributed Delays III.Input-Output Approach 8.Input-output stability A.Matrix Facts B.LMI and Quadratic Integral Inequalities Bibliography Index

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LMI Properties and Applications in Systems, Stability, and Control Theory.

TL;DR: The equivalency of some of the LMIs in this document may be straightforward to more experienced readers, but the authors believe that some readers may benefit from the presentation of multiple equivalent LMIs.
Journal ArticleDOI

Asymptotic and exponential stability of uncertain system with interval delay

TL;DR: By constructing a new Lyapunov–Krasovskii functional, several delay-range-dependent conditions are derived in terms of the linear matrix inequalities (LMIs) by employing two novel integral equalities to overcome the disadvantages of the methods in existing references.
Journal ArticleDOI

Event-triggered dynamic output feedback control for networked control systems with probabilistic nonlinearities

TL;DR: A novel event-triggered mechanism (ETM) is proposed, in which a new event-triggering condition is introduced and sufficient conditions are derived to design both controller gains and ETM parameters by employing the Lyapunov–Krasovskii functional method.
Journal ArticleDOI

Effects of leakage time-varying delays in Markovian jump neural networks with impulse control

TL;DR: The stability analysis problem is investigated for delayed neural networks with mixed time-varying delays, impulsive control and Markovian jumping parameters and sufficient conditions for the global exponential stability in the mean square are derived by using Lyapunov-Krasovskii functional having triple integral terms and model transformation technique.
Proceedings ArticleDOI

Network-based control via a novel analysis of hybrid systems with time-varying delays

TL;DR: The results improve the hybrid system-based ones and allow non-small network-induced delay and a new Lyapunov-Krasovskii method is developed for the partial exponential stability with respect to the x-variable of the delayed hybrid system.
References
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Book

The Nature of Statistical Learning Theory

TL;DR: Setting of the learning problem consistency of learning processes bounds on the rate of convergence ofLearning processes controlling the generalization ability of learning process constructing learning algorithms what is important in learning theory?
Book

Computers and Intractability: A Guide to the Theory of NP-Completeness

TL;DR: The second edition of a quarterly column as discussed by the authors provides a continuing update to the list of problems (NP-complete and harder) presented by M. R. Garey and myself in our book "Computers and Intractability: A Guide to the Theory of NP-Completeness,” W. H. Freeman & Co., San Francisco, 1979.
Book

Matrix computations

Gene H. Golub
Book

Matrix Analysis

TL;DR: In this article, the authors present results of both classic and recent matrix analyses using canonical forms as a unifying theme, and demonstrate their importance in a variety of applications, such as linear algebra and matrix theory.