Results 231 to 240 of about 1,423,977 (289)

Control of Uncertain Nonlinear Systems

Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, 1993
This paper describes some of my research in the analysis and control of nonlinear uncertain systems in which the uncertainties are modeled deterministically rather than stochastically. The main applications are to mechanical/aerospace systems, such as robots and spacecraft; the underlying theoretical approach is based on Lyapunov theory.
exaly   +3 more sources

On uncertain systems and uncertain models

Kybernetes, 2012
PurposeThe purpose of this paper is to show which models, uncertain or certain, simple or complicated, are more suitable when they are faced with incomplete information and inaccurate data.Design/methodology/approachThe characteristics of fuzzy mathematics, grey system theory, rough set theory and the basic characteristics of incomplete information and
Sifeng Liu, Keqin Sheng, Jeffrey Forrest
openaire   +1 more source

Stabilization of Uncertain Linear Systems [PDF]

, 1991
Feedback stabilization of linear, uncertain systems is usually analyzed using quadratic Lyapunov functions that are common to all values in the uncertainty set. In this paper we use the alternative classical concept of Laypunov exponents to characterize the precise (exponential) stability regions for systems with contrained linear output feedback.
Colonius, Fritz, Kliemann, Wolfgang
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Uncertain linear systems

Fuzzy Optimization and Decision Making, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Bo, Zhu, Yuanguo
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Robust Stabilization of Uncertain Systems

SIAM Journal on Control and Optimization, 1983
In this paper we consider the systems described by \[dx = Axdt + Budt + \sum_i {\sigma _i F_i xd\beta _i } \qquad {\text{or}}\qquad \dot x = Ax + Bu + \sum_i {B_i F_i (x,t)C_i x,} \] and we will derive conditions under which there exists a feedback control law $u = Kx$ such that the closed loop system is stable for all $\sigma _i $ or (smooth ...
Willems, Jacques L., Willems, Jan C.
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Uncertain Communications: Uncertain Social Systems

Soziale Systeme, 2004
Zusammenfassung Der folgende Essay handelt von einer kritischen Untersuchung der Beziehung zwischen Kommunikation und Unsicherheit im Kontext systemtheoretischer Überlegungen. Der Text verfolgt also das Ziel, an die von Dirk Baecker und Siegfried J.
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OPTIMAL PERTURBATION OF UNCERTAIN SYSTEMS

Stochastics and Dynamics, 2002
In studies of perturbation dynamics in physical systems, certain specification of the governing perturbation dynamical system is generally lacking, either because the perturbation system is imperfectly known or because its specification is intrinsically uncertain, while a statistical characterization of the perturbation dynamical system is often ...
Farrell, Brian F., Ioannou, Petros J.
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Robust filtering for uncertain systems

Signal Processing, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Neveux, Ph., Thomas, G.
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Model reduction of uncertain systems:approximation by uncertain system

42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004
Model reduction is well studied and its use is very common for fixed-coefficients systems. Physical world, however, poses more sophisticated kind of problems: uncertainties in physical parameters cause the system model to have uncertain parameters. In this paper we propose a novel method for model reduction of discrete-time uncertain SISO systems.
Y. Dolgin, E. Zeheb
openaire   +1 more source