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Some Refinements of Lyapunov's Second Method
Canadian Journal of Mathematics, 1965Lyapunov's second method is a well-known and powerful tool for studying the behaviour of solutions of a system of differential equations. One approach to the theory is the comparison method developed by Corduneanu (4). This approach has the advantage that it also leads to other results on asymptotic behaviour which originally appeared to be unrelated ...
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A Lyapunov analysis of accelerated methods in optimization
J. Mach. Learn. Res., 2021Summary: Accelerated optimization methods, such as Nesterov's accelerated gradient method, play a significant role in optimization. Several accelerated methods are provably optimal under standard oracle models. Such optimality results are obtained using a technique known as ``estimate sequences,'' which yields upper bounds on convergence properties ...
Ashia C. Wilson +2 more
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Suppressing chaos via Lyapunov–Krasovskii’s method
Chaos, Solitons & Fractals, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kuang, JL, Meehan, PA, Leung, AYT
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2020
The celebrated Lyapunov function method (or the direct Lyapunov method) introduced in the Ph.D. thesis of A. M. Lyapunov in 1892 is a simple effective tool for stability analysis of differential equations. The main advantage of this method lies in the fact that a decision on stability or instability can be made by means of a certain investigation of ...
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The celebrated Lyapunov function method (or the direct Lyapunov method) introduced in the Ph.D. thesis of A. M. Lyapunov in 1892 is a simple effective tool for stability analysis of differential equations. The main advantage of this method lies in the fact that a decision on stability or instability can be made by means of a certain investigation of ...
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On the lyapunov's functionals method for systems with delays
Nonlinear Analysis: Theory, Methods & Applications, 1997The author analyzes various derivatives of functionals, needed to use Lyapunov theory. In particular, the notions (too lengthy to be quoted here) of invariant continuity and invariant differentiability are introduced. For the proofs of the few results given, the reader is referred elsewhere.
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1987
Let us consider a problem of mechanics defined by the system of ordinary differential equations (1.5.1) and let us investigate the stability of a particular solution q i 0 (t). For purposes of simplicity, we have omitted the influence of any parameters. The following variational equations are obtained by the well-known transformation (1.2) q
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Let us consider a problem of mechanics defined by the system of ordinary differential equations (1.5.1) and let us investigate the stability of a particular solution q i 0 (t). For purposes of simplicity, we have omitted the influence of any parameters. The following variational equations are obtained by the well-known transformation (1.2) q
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The status of synthesis using Lyapunov's method
Automatica, 1965This paper surveys the literature devoted to techniques for the synthesis of control systems based on Lyapunov's second method. The work is tutorial in nature and attempts to unify some of the scattered literature on the subject. A number of techniques are reviewed, illustrated with examples, and comments made regarding their applicability and ...
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1999
In Chapter 7 we discussed the first approach to realization of the Lyapunov direct method for FDE based on application of the Lyapunov functionals. In the second approach finite dimensional Lyapunov’s functions v(t, x): R × R n →R are used.
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In Chapter 7 we discussed the first approach to realization of the Lyapunov direct method for FDE based on application of the Lyapunov functionals. In the second approach finite dimensional Lyapunov’s functions v(t, x): R × R n →R are used.
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The Method of Lyapunov Functions: RNNs
2013In this chapter, we apply the method of Lyapunov functions for differential equations with piecewise constant argument of generalized type to a model of RNNs. The model involves alternating argument. Sufficient conditions are obtained for global exponential stability of the equilibrium point.
Marat Akhmet, Enes Yılmaz
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The Lyapunov–Razumikhin Method: CNNs
2013In this chapter, by using the concept of differential equations with piecewise constant arguments of generalized type [13–15, 18], the model of cellular neural networks (CNNs) [79, 80] is developed. Lyapunov–Razumikhin technique is applied to find sufficient conditions for uniform asymptotic stability of equilibria.
Marat Akhmet, Enes Yılmaz
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