
Asymptotic stability
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The problem of robust stability is investigated for a class of uncertain Hopfield-type neural networks with proportional delays. The existence and uniqueness of an equilibrium is first established using the homeomorphic mapping theorem. Then, by employing a modified Lyapunov–Krasovskii functional, a new criterion for the global asymptotic stability of an equilibrium point of the system is formulated.
12p
viaburame
14-03-2025
2
1
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This paper deals with synchronization analysis problem for a class of fractional-order neural networks with unbounded delays. Using the Lyapunov function method combined with fractional Halanay inequality, we derive a novel sufficient condition for asymptotic stability of the error system resulting in two neural networks are synchronized.
9p
viprimi
16-12-2024
4
1
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The objectives of this dissertation are to study the asymptotic behavior of solutions of these nonlocal problems via the existence of (its finite dimensional) global attractors, and the existence and exponential stability of stationary solutions.
112p
thebadguys
08-06-2021
21
3
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The objectives of this dissertation are to study the asymptotic behavior of solutions of these nonlocal problems via existence of (its finite dimensional) global attractors, and the existence and exponential stability of stationary solutions.
25p
thebadguys
08-06-2021
22
3
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ASYMPTOTIC ESTIMATES AND EXPONENTIAL STABILITY FOR HIGHER-ORDER MONOTONE DIFFERENCE EQUATIONS ´ EDUARDO LIZ AND MIHALY PITUK Received 21 May 2004 Asymptotic estimates are established for higher-order scalar difference equations and inequalities the right-hand sides of which generate a monotone system with respect to the discrete exponential ordering. It is shown that in some cases the exponential estimates can be replaced with a more precise limit relation.
15p
sting12
10-03-2012
62
5
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ON THE RECURSIVE SEQUENCE E. CAMOUZIS, R. DEVAULT, AND G. PAPASCHINOPOULOS Received 12 January 2004 and in revised form 29 May 2004 Our aim in this paper is to investigate the boundedness, global asymptotic stability, and periodic character of solutions of the difference equation xn+1 = (γxn−1 + δxn−2 )/(xn + xn−2 ), n = 0,1,..., where the parameters γ and δ and the initial conditions are positive real numbers. 1.
10p
sting12
10-03-2012
35
5
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GLOBAL ASYMPTOTIC STABILITY OF SOLUTIONS OF CUBIC STOCHASTIC DIFFERENCE EQUATIONS ALEXANDRA RODKINA AND HENRI SCHURZ Received 18 September 2003 and in revised form 22 December 2003 Global almost sure asymptotic stability of solutions of some nonlinear stochastic difference equations with cubic-type main part in their drift and diffusive part driven by square-integrable martingale differences is proven under appropriate conditions in R1 .
12p
sting12
10-03-2012
52
5
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ATuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: SYMPTOTIC STABILITY FOR DYNAMIC EQUATIONS ON TIME SCALES
17p
dauphong18
09-03-2012
44
5
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Existence and Asymptotic Stability of Solutions for Hyperbolic Differential Inclusions with a Source Term
13p
dauphong18
09-03-2012
55
3
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Uniform Asymptotic Stability and Robust Stability for Positive Linear Volterra Difference Equations in Banach Lattices
15p
sting10
29-02-2012
53
6
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Trong bài báo này, chúng tôi giới thiệu một khái niệm về số mũ trung tâm của phương trình vi phân đại số tuyến tính (DAEs) tương tự như một trong những phương trình vi phân tuyến tính thông thường (ODEs), và sử dụng nó để điều tra sự ổn định tiệm cận của DAEs.
15p
phalinh21
01-09-2011
49
5
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Stability Issues in RNN Architectures Perspective The focus of this chapter is on stability and convergence of relaxation realised through NARMA recurrent neural networks. Unlike other commonly used approaches, which mostly exploit Lyapunov stability theory, the main mathematical tool employed in this analysis is the contraction mapping theorem (CMT), together with the fixed point iteration (FPI) technique. This enables derivation of the asymptotic stability (AS) and global asymptotic stability (GAS) criteria for neural relaxive systems.
19p
doroxon
12-08-2010
111
9
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