Estimation of the domain of attraction
Approaches used in estimating domain of attraction of equilibrium solution to system of nonlinear autonomous differential equation, and optimal selection of Liapunov function
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Approaches used in estimating domain of attraction of equilibrium solution to system of nonlinear autonomous differential equation, and optimal selection of Liapunov function
Control of nonlinear nonautonomous multivariable systems, based on Liapunov function
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Liapunov functions and exact differential equation
Sequential development of quadratic polynomial into Liapunov function for nonlinear differential equations
Sufficient conditions for recurrence and positivity of diffusion process defined by stochastic differential equation, using Liapunov function
Theorems and definitions for generation of Liapunov functions for analysis of linear and nonlinear dynamic systems
Developing Vidals and Laurents criteria for asymptotic stability of nonlinear sampled system using Liapunov functions
Transformation matrix converting phase variable form into Schwartz form for application to Liapunov function and Hurwitz criterion
The purpose of this paper is to develop new methods for constructing vector Liapunov functions and broaden the application of Liapunov's theory to stability analysis of large-scale dynamic systems. The application, so far limited by the assumption that the large-scale systems are composed of exponentially stable subsystems, is extended via the general concept of comparison functions to systems which can be decomposed into asymptotically stable subsystems. Asymptotic stability of the composite system is tested by a simple algebraic criterion. With minor technical adjustments, the same criterion can be used to determine connective asymptotic stability of large-scale systems subject to structural perturbations. By redefining the constraints imposed on the interconnections among the subsystems, the considered class of systems is broadened in an essential way to include composite systems with unstable subsystems. In this way, the theory is brought substantially closer to reality since stability of all subsystems is no longer a necessary assumption in establishing stability of the overall composite system.
System optimization techniques - motion stability study on Liapunov function application to finding estimators and connection with differential equations
Liapunov function for analyzing stability of nonlinear equilibrium solutions in hydrodynamics
Liapunov functions for finite time stochastic stability and analysis of tracking system
Generalized Zubov formulation from Liapunov function of limit cycle behavior in third order nonlinear systems
Stability theorem based on Liapunov function, and using invariance property of limit sets of solutions to differential equations