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Saturday, October 17, 2020 | History

2 edition of Non-linear sampled-data systems found in the catalog.

Non-linear sampled-data systems

Vidal, Pierre

Non-linear sampled-data systems

by Vidal, Pierre

  • 270 Want to read
  • 24 Currently reading

Published by Gordon and Breach in New York .
Written in English

    Subjects:
  • Discrete-time systems.

  • Edition Notes

    StatementPierre Vidal.
    SeriesInformation and systems theory -- v. 1
    Classifications
    LC ClassificationsQA402 .V513
    The Physical Object
    Paginationxv, 346 p. :
    Number of Pages346
    ID Numbers
    Open LibraryOL20217155M

    “This research monograph deals with filtering and control problems for various classes of non-linear stochastic systems with incomplete information, in particular in the framework of networked control systems. The book can be useful for graduate and postgraduate students and for researchers.” (Tomáš Cipra, zbMATH, Vol. , )Cited by: linear systems. In this (second) edition, the authors have added new chapters on sampled data systems and optimal control, and extended several chapters, notably those on state variable analysis and non-linear systems. The approach is very practical, the emphasis being on applications rather than theory. Many results are statedAuthor: R. G. Cameron.

    Sampled-data Control Systems Gene F Franklin. out of 5 stars 1. Hardcover. $ 8 Elements for Implementing Your Purpose Ona C. Miller. out of 5 stars 7. Paperback. $ Remote Control Cynthia Polansky. out of 5 stars 7. Paperback. $ Cited by: The book moves on to more advanced topics such as frequency response, advanced control strategies, controller tuning, sampled-data systems, state-space methods, and non-linear control - topics considered basic for a good foundation in process s: 1.

    the time, sampled-data control systems were quite popular. I subsequently wrote my thesis on the subject of non-linear sampled-data control systems. I received my degree in , and stayed at Illinois to pursue a teaching career. At that time, I was fortunate to have the opportunity to teach an undergrad-uate course on control systems and aFile Size: KB. You can write a book review and share your experiences. Other readers will always be interested in your opinion of the books you've read. Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them.


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Non-linear sampled-data systems by Vidal, Pierre Download PDF EPUB FB2

Additional Physical Format: Online version: Vidal, Pierre, Non-linear sampled-data systems. New York, Gordon and Breach [] (OCoLC) COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus.

Nonlinear sampled-data systems arise in this context when either the plant model or the controller is nonlinear. While their linear counterpart is now a mature area, nonlinear sampled-data systems are much Non-linear sampled-data systems book to deal with and, hence, much less understood.

Consensus on Operating Practices for the Sampling and Monitoring of Feedwater and Boiler Water Chemistry in Modern Industrial Boilers (CRTD)Cited by: 9. Nonlinear Sampled-Data Control Systems DinaShonaLaila Part II focuses on the direct discrete-time stabilization of sampled-data systems basedonapproximatediscrete-timemodelsoftheplant.

Arobuststabilityofnonlinear the design and analysis of nonlinear. Academic researchers and graduate students in systems, control and signal processing will find the ideas presented in Sampled-data Models for Linear and Nonlinear Systems to be a useful manual for.

The modelling of non-linear sampled-data and discrete closed loop systems is considered, emphasis being placed upon the determination of mathematical models which may be used under slow sampling conditions and the use of discrete by: 1.

A new approach is proposed in this paper to study robust stabilization of a class of sampled-data systems with non-linear uncertainties.

It is assumed that the systems are closed via a network. ous systems with two sinusoidal components at the nonlinearity input. These complications are significant when the frequencies of the two periodic processes are rationally related, and this is the case of first importance in the study of nonlinear sampled-data Size: 2MB.

IntroductionConcepts plant, systems servomechanism, regulating systems, disturbances, open loop control systems, closed loop systems, linear and non-linear systems, time variant and invariant, continuous and sampled data control systems, block diagrams, some illustrative ingFormulation of equation of linear electrical, mechanical, thermal, pneumatic and 4/5(5).

This paper analyzes the amplitude dependent behavior of nonlinear sampled-data control systems in a frequency domain. First, a robust stability condition for nonlinear discrete-time feedback systems (which was derived in our previous papers) is applied to a sampled-data control system containing a single time-invariant nonlinear element in the forward by: 3.

CONTENTS Preface v Chapter 1 Nonlinear Systems and Describing Functions I Introduction 1 Nonlinear-system Representation 3 Behavior of Nonlinear Systems 7 Methods of Nonlinear-system Study 9 The Describing Function Viewpoint 14 A Unified Theory of Describing Functions 18 About the Book 37 Chapter 2 Sinusoidal-input Describing Function (DF) 41Cited by: UNESCO – EOLSS SAMPLE CHAPTERS CONTROL SYSTEMS, ROBOTICS, AND AUTOMATION – Vol.

II - Discrete-Time, Sampled-Data, Digital Control Systems, and Quantization Effects - Paraskevopoulos P.N. ©Encyclopedia of Life Support Systems (EOLSS) Linearity A discrete-time system is linear if the following relation.

Mixed-Signal Design Seminar, Edited by Walt Kester, Analog Devices,ISBNThe first Analog Device’s worldwide seminar to treat the fundamentals of data conversion for DSP applications, including Fast Fourier Transforms, Digital Filters, and DSP hardware.

The material was updated and expanded in the Mixed Signal and DSP Design Tec. Book Review Non-Linear Sampled-Data Systems. By PZEm~E VIDAL, Gordon and Breach, New York,pp., translated from Syst~mes Echantillonnds Non Lindaires.

Gordon and Breach, Paris, Although sampled-data and digital-computer control systems have a. SIAM Journal on Control and OptimizationInput-to-state stability of non-linear systems with distributed-delayed impulses.

IET Control Theory & ApplicationsConvex conditions for robust stability analysis and stabilization of linear aperiodic impulsive Cited by: Nonlinear Model Predictive Control is a thorough and rigorous introduction to NMPC for discrete-time and sampled-data systems.

NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be Brand: Springer-Verlag London.

Models For Sampled Data Systems (M) Digital Control (K) Hybrid Control (M) Part V Advanced SISO Control - PowerPoint: SISO Controller Parameterizations (K) Control Design Based On Optimization (M) Linear State Space Models (K) Synthesis Via State Space Methods (M) Introduction To Nonlinear.

() Continuous Sampled-Data Observer Design for Nonlinear Systems With Time Delay Larger or Smaller Than the Sampling Period. IEEE Transactions on Automatic Control() Circle criterion-based ℋ ∞ observer design for Lipschitz and monotonic nonlinear systems – Enhanced LMI conditions and constructive by: During the Second World War the ideas and techniques that had been developed in disparate areas were brought together to form what we now know as the classical frequency response methods of analysis and design.

Work on methods for dealing with non-linear systems, 4/5(4). Currently most textbooks on the subject either looks at "multivariate" systems or "non-linear" systems. However, Control Theory is the only textbook available that covers both. It explains current developments in these two types of control techniques, and looks at tools for computer-aided design, for example Matlab and its toolboxes.This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems.

NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of Brand: Springer International Publishing.Designing linear control systems with MATLAB, Katsuhiko Ogata,Computers, pages.

Written as a companion volume to the author's Solving Control Engineering Problems with MATLAB, this indispensable guide illustrates the power of MATLAB as a tool for. Non-linear sampled-data systems exercises and problems, Pierre Vidal,