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4 edition of Robustness of dynamic systems with parameter uncertainties found in the catalog.

Robustness of dynamic systems with parameter uncertainties

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

    Subjects:
  • Control theory -- Congresses.

  • Edition Notes

    Statementedited by M. Mansour, S. Balemi, W. Truöl.
    SeriesMonte Verità, Monte Verità (Series)
    ContributionsMansour, M., Balemi, S. 1962-, Truöl. W. 1963-
    Classifications
    LC ClassificationsQA402.3 .R635 1992
    The Physical Object
    Pagination315 p. :
    Number of Pages315
    ID Numbers
    Open LibraryOL1724093M
    ISBN 10376432791X, 081762791X
    LC Control Number92027728

    The new approach is used to determine the dynamic response of a spur gear system with uncertainty associated to gear system parameters and this uncertainty must be considered in the analysis of. This paper studies the robust stability of a single-input–single-output systems with both parametric and dynamic uncertainties. The parametric uncertainties of the system are described by a.

      Moreover, observe that except for the case of time-invariant systems with zero initial state, the robust Hoc filter will be in general time-varying. 4. CONCLUSION In this paper, a worst-case filtering problem for a class of interconnected uncertain dynamic systems has been consid­ered. The discrete-time contents are mainly in Sections (adaptive control system examples), and (systems and signals), (adaptive parameter estimation), (robustness of parameter estimation), (robust parameter estimation), (state feedback adaptive control), Chapter 6 (model reference adaptive control), Sections

    Uncertainties in the input parameters are inevitable in any design process. Along with the demands for higher rotational speed and higher efficiency of rotating machinery, parameter uncertainties (e.g. support stiffness, the effective bending stiffness of connecting structures) resulted from the increasing load on rotor systems lead to significant scatter of its dynamic performance.   Systems with Parameter Uncertainties. of control systems and two books, including Robust Control: Robustness of Dynamic Systems with Parameter Uncertainties. Book.


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Robustness of dynamic systems with parameter uncertainties Download PDF EPUB FB2

For systems with parameter uncertainties, the seminal paper of V. Kharitonov has triggered a large amount of very promising research. An international workshop dealing with all aspects of robust control was successfully organized by S. Bhattacharyya and L. Cited by: Robust Control is one of the fastest growing and promising areas of research today.

In many practical systems there exist uncertainties which have to be considered in the analysis and design of control systems. In the last decade methods were developed for dealing with dynamic systems with.

Robust Stability: The Polynomial Case --Kharitonov's Theorem and the Second Method of Lyapunov / M. Mansour and B.D.O. Anderson --Stability Margins of Perturbed Systems / Y.C. Soh and Y.K. Foo --Frequency Domain Criteria for Robust Root Locations of Generalized Disc Polynomials / C.B.

Soh --Computation of Value Sets of Uncertain Transfer. Get this from a library. Robustness of Dynamic Systems with Parameter Uncertainties. [M Mansour; S Balemi; W Truöl] -- Robust Control is one of the fastest growing and promising areas of research today.

In many practical systems there exist uncertainties which have to. Robust Control is one of the fastest growing and promising areas of research today. In many practical systems there exist uncertainties which have to be considered in the analysis and design of control systems. In the last decade methods were developed for dealing with dynamic systems with unstructured uncertainties such as HOO_ and GBPI-optimal control.

For systems with parameter. This book is a collection of 34 papers presented by leading researchers at the International Workshop on Robust Control held in San Antonio, Texas in March The common theme tying these papers together is the analysis, synthesis, and design of control systems subject to various uncertainties.

Kiendl H., Michalske A. () Robustness Analysis of Linear Control Systems with Uncertain Parameters by the Method of Convex Decomposition. In: Mansour M., Balemi S., Truöl W. (eds) Robustness of Dynamic Systems with Parameter Uncertainties.

Robustness of stability of linear state space systems with respect to time-varying, nonlinear and dynamic perturbations. In Proceedings of the 28th IEEE Conference on Decision and Control, pages 52 — 53, Tampa, FL., December The problem of stability of continuous-time nonlinear systems with non-parametric uncertainty of a linear part and sector uncertainty of its nonlinear part is considered.

The proposed robust. Robustness to parametric uncertainty is fundamental to successful control system design and as such it has been at the core of many design methods developed over the decades.

Despite its prominence, most of the work on robust control design has focused on linear models and uncertainties that are non-probabilistic in nature. His research interests are: State and parameter estimation for stochastic and set-valued uncertainties, verified simulation of nonlinear uncertain systems, nonlinear, robust, and optimal control, interval methods for ordinary differential equations as well as differential-algebraic systems.

Additionally, as shown in Chap.7 in, the dynamic uncertainties may cause the parameter drift instability, and hence result in a degradation of system performance. Therefore, it is of interest to design the robust controller such that the nonholonomic systems with dynamic uncertainties are feedback stable.

In this paper, a robust optimal control problem is investigated for continuous-time linear stochastic systems with dynamic uncertainties.

A non-model based stochastic robust optimal control design. In this paper, we propose a robust recursive filter for linear systems subject to norm-bounded parameter uncertainties based on robust regularized least-squares problem (Sayed & Nascimento, ) and penalty function (Luenberger, ).

The combination of both techniques aims to include in a convex cost function all data related to the state. Yang J, Na J and Gao G () Robust adaptive control for unmatched systems with guaranteed parameter estimation convergence, International Journal of Adaptive Control and Signal Processing,(), Online publication date: 2-Dec “This book is a concise, clear and well-organized masterpiece on robust control theory for linear systems with parameter-uncertainty.

as a textbook for understanding the basic concepts and state-space methodologies about robust control, this book is one of the best ones I have ever read.” (Yun Zou, Mathematical Reviews, November, ). BibTeX @MISC{Uncertainties_controland, author = {Ofdynamic Systems Parameter Uncertainties and M.

Mansour and S. Balemi and S. Frequency and M. Mansour and S. Balemi and W. Truol}, title = {control and lead-lag compensator for linear interval systems. In Robustness}, year = {}}. A chatter free regulation control of two uncertain nonlinear systems with improved performance in the presence of uncertainties ensures the robustness of the proposed dynamic integral sliding mode.

Sufficient conditions in terms of Parametrized Linear Matrix Inequalities (PLMIs) for synthesizing dynamic output-feedback controllers are derived. The resulting controller not only guarantees robust stability and H 2 performance but also ensures robustness against scheduling parameters uncertainties.

The effectiveness of the developed. Proceedings of the ASME Dynamic Systems and Control Conference. Volume 2: Diagnostics and Detection; achieving robustness to parameter uncertainties.

The paper is motivated by earlier research showing that the speed and accuracy with which battery parameters can be estimated both improve significantly when battery inputs are optimized. This volume fills a current gap in published works by explicitly addressing the subject of control of dynamic systems from linear state space framework, namely using a time-domain, matrix-theory based approach.

This book also: Presents and formulates the robustness problem in a linear state space model framework. A computer package for robustness analysis of multivariable dynamic systems, called ROBUST, is described, that is part of an integrated control design and analysis system.

Section II describes models and model uncertainties of dynamic systems. Section III shows inequality measures for robustness analysis. P.R. China ROBUST STABILITY ANALYSIS OF CONTROL SYSTEMS WITH PARAMETER UNCERTAINTIES: AN EIGENVALUE APPROACH Q H.

Wu *,1 M. Mansour** '" Department of Automatic Control Beijing Institute of Technology, BeijingChina e-mail: [email protected]~ ** Automatic Control Laboratory) Swiss Federal Institute of Technology.