Results 231 to 240 of about 2,373,749 (268)
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Finite time stability and stabilization

Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002
In this paper, finite time stability and stabilization are investigated for systems described by ordinary differential equations (ODE) or differential inclusions: some sufficient conditions are given for scalar and n-dimensional cases. Then, a stabilization result for I/O linearizable systems is derived from these results.
Wilfried Perruquetti, Sergey V. Drakunov
openaire   +1 more source

Semidefinite lyapunov functions stability and stabilization

Mathematics of Control, Signals, and Systems, 1996
The paper gives some weakening of the basic Lyapunov theorems by obtaining stability and asymptotic stability for nonnegatively definite Lyapunov functions. These results allow simpler proofs for some previously known results and some extension of the stabilization results for systems that are affine in the control.
Iggidr, Abderrahman   +2 more
openaire   +3 more sources

The equivalence ofB-stability andA-stability

BIT, 1984
It is well known that linear and nonlinear stability concepts are equivalent for linear multistep methods in their one-leg formulation. This result is extended to Runge-Kutta methods. In particular, it is shown here that given an irreducible rational function R(z) whose degrees of numerator and denominator are at most s which has order of approximation
Hairer, Ernst, Tuerke, H.
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Arithmetic tests forA-stability,A[α]-stability, and stiff-stability

BIT, 1978
Arithmetic tests forA-stability,A[α]-stability, and stiff-stability are presented as special cases of a general stability test for numerical integration methods. The test evolves from extracted properties of the characteristic polynomial (in two variables) of the numerical method applied to the prototype scalar ordinary differential equation
Bickart, T. A., Jury, E. I.
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Stability and stabilization of implicit systems

Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002
This paper is concerned with stability and stabilization of implicit systems. Stability criteria are provided in terms of the Kronecker form, Lyapunov equation and inequality and conditions on extended rank and invertibility of the system pencil. Then stabilization of implicit systems via interconnection is considered based on the notion of initial ...
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Stability and stabilization of delay differential systems

Automatica, 1996
This paper considers the stability and stabilization of the following linear systems with delay \[ \dot y(t)= A_0y(t) +\sum^p_{i=1} A_iy (t-\tau_i) +EW(t), \quad t\geq t_0, \] under bounded additive disturbance. Conditions for respecting linear constraints and for asymptotic stability are obtained from a characterization of positive invariance ...
Jean-Claude Hennet, Sophie Tarbouriech
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Simplex Stability

Combinatorics, Probability and Computing, 2009
A d-simplex is a collection of d + 1 sets such that every d of them has non-empty intersection and the intersection of all of them is empty. Fix k ≥ d + 2 ≥ 3 and let be a family of k-element subsets of an n-element set that contains no d-simplex. We prove that if $|\cG| \geq (1 - o(1))\binom{n-1 }{k-1}$, then there is a vertex x of such that the ...
Dhruv Mubayi, Reshma Ramadurai
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Local stabilizer

Proceedings of the Fifth Israeli Symposium on Theory of Computing and Systems, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yehuda Afek, Shlomi Dolev
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TEACHING STABILITY AND ROBUST STABILITY

IFAC Proceedings Volumes, 1994
Abstract The aim of this paper is to demonstrate that, in teaching stability theory for linear systems, there are two basic mathematical foundations which can be used: The principal of the argument and Lyapunov theory, according to the presentation of the system in the operator or time-domain, respectively.
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A-Stability and Stochastic Mean-Square Stability

BIT Numerical Mathematics, 2000
The author considers the mean-square stability of the stochastic differential equation for the test problem with multiplicative noise proposed by \textit{Y. Saito} and \textit{T. Mitsui} [SIAM J. Appl. Math. 56, No. 5, 1400-1423 (1996; Zbl 0869.60053)]. It quantifies precisely the point where unconditional stability is lost.
openaire   +4 more sources

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