Open AccessBook
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 IndexAbstract:
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 Indexread more
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Robust stability and stabilization of uncertain linear positive systems via Integral Linear Constraints: L1- and Linfinity-gains characterization
TL;DR: In this paper, copositive linear Lyapunov functions are used along with dissipativity theory for stability analysis and control of uncertain linear positive systems, and linear supply-rates are employed for robustness and performance analysis using L 1 and Linfinity-gains.
Journal ArticleDOI
Delayed point control of a reaction–diffusion PDE under discrete-time point measurements
Anton Selivanov,Emilia Fridman +1 more
TL;DR: It is shown that both controllers can guarantee the exponential stability of the closed-loop system with an arbitrary decay rate smaller than that of the observer’s estimation error.
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A Note on Relationship Between Two Classes of Integral Inequalities
TL;DR: Two classes of integral inequalities with and without free matrices, respectively, are introduced and it is shown that these two different methods are actually equivalent in assessing the stability of time-delay systems.
Journal ArticleDOI
Partial-Neurons-Based Passivity-Guaranteed State Estimation for Neural Networks With Randomly Occurring Time Delays
TL;DR: The partial-neurons-based passivity-guaranteed state estimation (SE) problem is examined for a class of discrete-time artificial neural networks with randomly occurring time delays to achieve asymptotic stability in the mean square with a guaranteed passivity performance level.
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Discrete inventory control in systems with perishable goods – a time-delay system perspective
TL;DR: A new dead-time compensation mechanism is developed and non-linear control law synthesised and the proposed control scheme is proved robust with respect to arbitrary demand and delay variations.
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 Analysis
Roger A. Horn,Charles R. Johnson +1 more
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.