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Lyapunov Function-Based Approach to Estimate Attractors for a Dynamical System with the Polynomial Right Side

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Advanced Manufacturing Processes IV (InterPartner 2022)

Abstract

Stability analysis is an essential part of the study of the behavior of a dynamic system. Typically, this analysis includes finding the stationary points or limit cycles, determining their stability or instability, and identifying the regions of attraction (RoAs) of attractors. There are several classical methods for obtaining RoAs estimates, which may be divided into Lyapunov and non-Lyapunov methods; at the same time, due to the limitations of existing methods, the identification of a complex RoAs boundary is practically impossible, and it also leads to a high computational cost. The existing methods are quite effective for systems of the second and third orders. However, an increase in the dimension of the system or uncertain mechanical parameters leads to an exponential increase in the required calculations. In this regard, it is essential to design relatively simple algorithms in terms of the number of necessary operations and, at the same time, give acceptable from a practical point of view estimates of RoAs. The present paper deals with the problem of obtaining estimates of the domains of attraction and stability for a nonlinear dynamical system with a polynomial right-hand side. It is based on a particular procedure of polynomial Lyapunov function construction. As an example, this procedure is applied to estimate the domain of attraction for the mechanical system of two coupled oscillators.

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Correspondence to Nina Savchenko .

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Puzyrov, V., Losyeva, N., Savchenko, N., Nikolaieva, O., Chashechnikova, O. (2023). Lyapunov Function-Based Approach to Estimate Attractors for a Dynamical System with the Polynomial Right Side. In: Tonkonogyi, V., Ivanov, V., Trojanowska, J., Oborskyi, G., Pavlenko, I. (eds) Advanced Manufacturing Processes IV. InterPartner 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-16651-8_46

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  • DOI: https://doi.org/10.1007/978-3-031-16651-8_46

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