Last edited by Nim
Tuesday, May 5, 2020 | History

5 edition of Time-varying discrete linear systems found in the catalog.

Time-varying discrete linear systems

input-output operators, Riccati equations, disturbance attenuation

by Aristide Halanay

  • 313 Want to read
  • 16 Currently reading

Published by Birkhäuser Verlag in Basel, Boston .
Written in English

    Subjects:
  • Discrete-time systems

  • Edition Notes

    Includes bibliographical references (p. [221]-224) and index.

    StatementAristide Halanay, Vlad Ionescu.
    SeriesOperator theory, advances and applications ;, vol. 68, Operator theory, advances and applications ;, v. 68.
    ContributionsIonescu, Vlad, 1938-
    Classifications
    LC ClassificationsQA402 .H27 1994
    The Physical Object
    Pagination228 p. ;
    Number of Pages228
    ID Numbers
    Open LibraryOL1077784M
    ISBN 103764350121, 0817650121
    LC Control Number94001011

    The synthesis of a linear discrete-time-varying system from its specified impulse-response matrix H(n, k) is considered. The results include a direct extension of those obtained for the continuous-time counterpart problem, and a simple decomposition method of H(n, k) which is readily extendable to the continuous-time : David Malah, B.A. Shenoi.   Abstract: The fault and state estimation problem is addressed for a class of linear discrete time-varying two-dimensional systems subject to state and measurement noises. Two estimators are proposed to compute the estimation of the system state and/or fault recursively, both of which are unbiased with minimum by:

    The problem of finite-time stability for linear discrete time systems with state time-varying delay is considered in this paper. Two finite sum inequalities for estimating weighted norms of delayed states are proposed in order to obtain less conservative stability criteria. By using Lyapunov-Krasovskii-like functional with power function, two sufficient conditions of finite-time stability are Cited by: 7. In the research literature one nds many references to linear time› varying systems. Most of this work is carried out on a purely theoreti› cal level. Almost all theoretical breakthroughs for linear time›invariant systems have been followed by generalizations into the time›varying framework a couple of years later. This is important and.

    Time-varying impulse response. The time-varying impulse response h(t 2,t 1) of a linear system is defined as the response of the system at time t = t 2 to a single impulse applied at time t = t 1. In other words, if the input x(t) to a linear system is = (−).   Signal & System: Linear and Non−Linear Discrete-Time Systems Topics discussed: 1. Linear discrete-time systems. 2. Non-linear discrete-time systems. 3. Example of a linear discrete-time system.


Share this book
You might also like
guitar greats

guitar greats

Menorca

Menorca

Towards understanding Islam

Towards understanding Islam

I Remember You in My Prayers Night and Day

I Remember You in My Prayers Night and Day

literary side of Londons Bond Street.

literary side of Londons Bond Street.

Focus on Earth Science California, Grade 6

Focus on Earth Science California, Grade 6

Modern Custom Tailoring for Men

Modern Custom Tailoring for Men

[Programme]

[Programme]

Americas global advantage

Americas global advantage

North American boundary

North American boundary

Numbers and words.

Numbers and words.

Increased use of financial data and an improved tariff system needed by the Military Airlift Command, Department of the Air Force

Increased use of financial data and an improved tariff system needed by the Military Airlift Command, Department of the Air Force

La mosaïque gréco-romaine II

La mosaïque gréco-romaine II

Time-varying discrete linear systems by Aristide Halanay Download PDF EPUB FB2

Buy Time-Varying Discrete Linear Systems: Input-Output Operators. Riccati Equations. Disturbance Attenuation (Operator Theory: Advances and Applications) on FREE SHIPPING on Cited by: About this book Discrete-time systems arise as a matter of course in modelling biological or economic processes.

For systems and control theory they are of major importance, particularly in connection with digital control applications. If sampling is performed in order to control periodic processes, almost periodic systems are obtained.

Introduction. Discrete-time systems arise as a matter of course in modelling biological or economic processes. For systems and control theory they are of major importance, particularly in connection with digital control applications.

If sampling is performed in order to control periodic processes, almost periodic systems are obtained. The book explores the direct relationship between the system full transfer function matrix F(z) and the Lyapunov stability concept, definitions, and conditions, as well as with the BI stability concept, definitions, and conditions.

The goal of the book is to unify the study and applications of all three classes of the linear discrete-time time. Discrete-time systems arise as a matter of course in modelling biological or economic processes.

For systems and control theory they are of major importance, particularly in connection with digital control applications. If sampling is performed in order to control periodic processes, almost periodic systems. We study structural properties of linear time-varying discrete-time systems.

At first an associated system on projective space is introduced as a basic tool to Time-varying discrete linear systems book the linear dynamics. We study controllability properties of this system and characterize in particular the control sets and their cores.

Sufficient conditions for an upper bound on the number of control sets with nonempty interior Cited by: Adaptive Optimal Control for Time-Varying Discrete-Time Linear Systems Shuzhi Sam Ge 1, Chen Wang and Yanan Li2 Abstract: In this paper, adaptive optimal control is pro-posed for time-varying discrete linear system subject to un-known system dynamics.

The idea of the method is a direct application of the Q-learning adaptive dynamic programmingFile Size: KB. () Integrated fault detection system design for linear discrete time-varying systems with bounded power disturbances. International Journal of Robust and Nonlinear Control, n/a-n/a.

() On the stability of weakly observable Markov jump linear systems with bounded long run average by: Lecture: Discrete-time linear systems Discrete-time linear systems Discrete-time linear system 8 system The dimension n of the state x(k File Size: 3MB.

PreTeX, Inc. Oppenheim book J 10 Chapter 2 Discrete-Time Signals and Systems Signal-processing systems may be classified along the same lines as signals. That is, continuous-time systems are systems for which both the input and the output are continuous-time signals, and discrete-time systems are those for which both the inputFile Size: 2MB.

This paper treats questions of duality for time-varying linear systems defined on a locally finite partially ordered time set. Constrained Control of Uncertain, Time-Varying, Discrete-time Systems details interpolating control in both its implicit and explicit forms.

In the former at most two linear-programming or one quadratic-programming problem are solved on-line at each sampling instant to yield the value of Brand: Springer International Publishing. Constrained Control of Uncertain, Time-Varying, Discrete-time Systems details interpolating control in both its implicit and explicit forms.

In the former at most two linear-programming or one quadratic-programming problem are solved on-line at each sampling instant to yield the value of.

Discrete-time systems arise as a matter of course in modelling biological or economic processes. For systems and control theory they are of major importance, particularly in connection with digital control applications.

If sampling is performed in order to control periodic processes, almost periodic systems are obtained. Additional Physical Format: Online version: Marcovitz, Alan B.

Linear time-varying discrete systems. Lancaster, Pa., Journal of the Franklin Institute, The text deals with the regulation problem for linear, time-invariant, discrete-time uncertain dynamical systems having polyhedral state and control constraints, with and without disturbances, and under state or output feedback.

For output feedback a non-minimal state-space representation is used with old inputs and outputs as state cturer: Springer.

In this chapter, various fundamental elements of the theory of linear time-varying systems are studied in both the continuous-time and discrete-time cases.

The chapter is a revised and updated. On feedback stabilization of time-varying discrete linear systems Abstract: Results are given for stabilizing time-varying discrete linear systems by means of a feedback control stemming from a receding-horizon concept and a minimum quadratic cost with a fixed terminal by: On the Reducibility of the Discrete Linear Time-Varying Systems.

Linear Time-In v arian t Mo dels In the case of a time-invariant linear discrete-time system, solutions can b e simpli ed considerably. W e rst examine a direct time-domain solution, then compare this with transform-domain solution, and nally return to the time domain, but in mo dal co ordinates.

Direct Time-Domain Solution F or a linear time File Size: KB. Buy Time-Varying Discrete Linear Systems: Input-Output Operators, Riccati Equations, Disturbance Attenuation (Operator Theory: Advances and Applications) by Halanay, Aristide, Ionescu, Vlad (ISBN: ) from Amazon's Book Store.

Everyday low prices and free delivery on Author: Aristide Halanay.The discrete-time linear system is considered under a bound on time-average on the mean-value of the output norm.

It is shown that under controllability, observability and a uniform bound on the matrix norm, the time-varying system is asymptotically and uniformly : Alessandro N. Vargas, João B.R. do Val.Discrete time-varying linear system In this section, the discrete time-varying LS is solved by the proposed FI-type DTZND–L model, and the corresponding theoretical analyses are provided to show the convergence and precision of the FI-type DTZND–L : Jian Li, Yunong Zhang, Mingzhi Mao.