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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References
Awrejcewicz, J., Bilichenko, D., Cheib, A.K., Losyeva, N., Puzyrov, V.: Estimating the region of attraction based on a polynomial Lyapunov function. Appl. Math. Model. 90, 1143–1152 (2021). https://doi.org/10.1016/j.apm.2020.10.010
Sliwa, I., Grygiel, K.: Periodic orbits, basins of attraction and chaotic beats in two coupled Kerr oscillators. Nonlin. Dyn. 67(1), 755–765 (2012)
de Freitas, M.S., Viana, R.L., Grebogi, C.: Basins of attraction of periodic oscillations in suspension bridges. Nonlin. Dyn. 37(3), 207–226 (2004)
Cruck, E., Moitie, R., Seube, N.: Estimation of basins of attraction for uncertain systems with affine and Lipschitz dynamics. Dyn. Control 11(3), 211–227 (2001)
Genesio, R., Tartaglia, M., Vicino, A.: On the estimation of asymptotic stability regions: state of the art and new proposals. IEEE Trans. Autom. Control 30(8), 747–755 (1985)
Kant, N., Chowdhury, D., Mukherjee, R., Khalil, H.K.: An algorithm for enlarging the region of attraction using trajectory reversing. In: 2017 American Control Conference (ACC), pp. 4171–4176 (2017)
Li, Y., Li, C., He, Z., Shen, Z.: Estimating and enlarging the region of attraction of multi-equilibrium points system by state-dependent edge impulses. Nonlin. Dyn. 103(3), 2421–2436 (2021). https://doi.org/10.1007/s11071-021-06259-9
Chesi, G., Garulli, A., Tesi, A., Vicino, A.: LMI-based computation of optimal quadratic Lyapunov functions for odd polynomial systems. Int. J. Robust Nonlin. Control 1(15), 35–49 (2005)
Topcu, U., Packard, A.K., Seiler, P.: Local stability analysis using simulations and sum-of-squares programming. Automatica 44, 2669–2675 (2008)
Chesi, G.: Domain of Attraction. Springer, London (2011)
Tan, W., Packard, A.: Stability region analysis using polynomial and composite polynomial Lyapunov functions and sum-of-squares programming. IEEE Trans. Autom. Control 53(2), 565–571 (2008)
Grosman, B., Lewin, D.R.: Automatic generation of Lyapunov functions using genetic programming. IFAC Proc. 38(1), 75–80 (2005)
McGough, J.S., Christianson, A.W., Hoover, R.C.: Symbolic computation of Lyapunov functions using evolutionary algorithms. In: Proceedings of the 12th IASTED International Conference, vol. 15, pp. 508–515 (2010)
Najafi, E., Babuška, R., Lopes, G.: A fast sampling method for estimating the domain of attraction. Nonlin. Dyn. 86(2), 823–834 (2016)
Bobiti, R., Lazar, M.: Automated sampling-based stability verification and DOA estimation for nonlinear systems. IEEE Trans. Autom. Control 63(11), 3659–3674 (2018)
Henrion, D., Korda, M.: Convex computation of the region of attraction of polynomial control systems. IEEE Trans. Autom. Control 2(59), 297–312 (2014)
Khodadadi, L., Samadi, B., Khaloozadeh, H.: Estimation of region of attraction for polynomial nonlinear systems: a numerical method. ISA Trans. 53, 25–32 (2014)
Han, D., Panagou, D.: Chebyshev approximation and higher order derivatives of Lyapunov functions for estimating the domain of attraction. In: 2017 IEEE 56th Annual Conference on Decision and Control (CDC), pp. 1181–1186 (2017)
Anghel, M., Milano, F., Papachristodoulou, A.: Algorithmic construction of Lyapunov functions for power system stability analysis. IEEE Trans. Circuits Syst. I. Regul. Pap. 60(9), 2533–2546 (2013)
Izumi, S., Somekawa, H., Xin, X., Yamasaki, T.: Estimation of regions of attraction of power systems by using sum of squares programming. Electric. Eng. 100(4), 2205–2216 (2018). https://doi.org/10.1007/s00202-018-0690-z
Khalil, H.: Nonlinear Systems, 3rd edn. Prentice Hall, New Jersey (2002)
Ji, Z., Wu, W., Feng, Y., Zhang, G.: Constructing the Lyapunov function through solving positive dimensional polynomial system. J. App. Math. 2013, 859578 (2013). https://doi.org/10.1155/2013/859578
Wu, M., Yang, Z., Lin, W.: Domain-of-attraction estimation for uncertain non-polynomial systems. Commun. Nonlin. Sci. Numer. Simulat. 19, 3044–3052 (2014)
Rouche, N., Habets, P., Laloy, M.: Stability Theory by Liapunovs Direct Method. Springer, New York (1977)
She, Z., Xia, B., Xiao, R., Zheng, Z.: A semi-algebraic approach for asymptotic stability analysis. Nonlin. Anal. Hybrid Syst. 3(4), 588–596 (2009). https://doi.org/10.1016/j.nahs.2009.04.010
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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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