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Computing Lyapunov exponents of continuous dynamical systems: method of Lyapunov vectors
Chaos, Solitons & Fractals, 2005The paper proposes a new method for computing the Lyapunov characteristic exponents of general continuous dynamical systems. There are several methods for finding numerical values of Lyapunov's exponents, e.g., Wolf's algorithm and the QR method.
Lu, Jia +3 more
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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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Optimal control applications & methods
In this article, the problem of adaptive optimal tracking control is studied for nonlinear strict‐feedback systems. While not directly measurable, the states of these systems are subject to both time‐varying and asymmetric constraints.
Boyan Zhu +3 more
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In this article, the problem of adaptive optimal tracking control is studied for nonlinear strict‐feedback systems. While not directly measurable, the states of these systems are subject to both time‐varying and asymmetric constraints.
Boyan Zhu +3 more
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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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IEEE Transactions on Neural Networks and Learning Systems, 2021
Yingjie Fan +4 more
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Yingjie Fan +4 more
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IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018
This paper presents interval type-2 fuzzy-based sampled-data controller for nonlinear systems using novel fuzzy Lyapunov functional. To do this, a type-2 fuzzy model is adapted for the nonlinear systems and a type-2 fuzzy-based sampled-data controller is
Lakshmanan Shanmugam, Y. Joo
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This paper presents interval type-2 fuzzy-based sampled-data controller for nonlinear systems using novel fuzzy Lyapunov functional. To do this, a type-2 fuzzy model is adapted for the nonlinear systems and a type-2 fuzzy-based sampled-data controller is
Lakshmanan Shanmugam, Y. Joo
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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 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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Lyapunov's direct method in stability theory (review)
International Applied Mechanics, 1992zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lakshmikantham, V., Martynyuk, A. A.
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Generalized energies and the Lyapunov method
1992Thus far in convection studies we have explored uses of the energy method that have concentrated on employing some form of kinetic-like energy, involving combinations of L 2 integrals of perturbation quantities. While this is fine and yields strong results for a large class of problem, there are many situations where such an approach leads only to weak
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