Geodesic
The investigation of nonlinear polynomial control systems
Modelirovanie i analiz informacionnyh sistem, Tome 28 (2021) no. 3, pp. 238-249.

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The paper considers methods for estimating stability using Lyapunov functions, which are used for nonlinear polynomial control systems. The apparatus of the Gröbner basis method is used to assess the stability of a dynamical system. A description of the Gröbner basis method is given. To apply the method, the canonical relations of the nonlinear system are approximated by polynomials of the components of the state and control vectors. To calculate the Gröbner basis, the Buchberger algorithm is used, which is implemented in symbolic computation programs for solving systems of nonlinear polynomial equations. The use of the Gröbner basis for finding solutions of a nonlinear system of polynomial equations is considered, similar to the application of the Gauss method for solving a system of linear equations. The equilibrium states of a nonlinear polynomial system are determined as solutions of a nonlinear system of polynomial equations. An example of determining the equilibrium states of a nonlinear polynomial system using the Gröbner basis method is given. An example of finding the critical points of a nonlinear polynomial system using the Gröbner basis method and the Wolfram Mathematica application software is given. The Wolfram Mathematica program uses the function of determining the reduced Gröbner basis. The application of the Gröbner basis method for estimating the attraction domain of a nonlinear dynamic system with respect to the equilibrium point is considered. To determine the scalar potential, the vector field of the dynamic system is decomposed into gradient and vortex components. For the gradient component, the scalar potential and the Lyapunov function in polynomial form are determined by applying the homotopy operator. The use of Gröbner bases in the gradient method for finding the Lyapunov function of a nonlinear dynamical system is considered. The coordination of input-output signals of the system based on the construction of Gröbner bases is considered.
Keywords: nonlinear systems, polynomial systems, Lyapunov functions, Gröbner bases. 
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S. N. Chukanov; I. S. Chukanov. The investigation of nonlinear polynomial control systems. Modelirovanie i analiz informacionnyh sistem, Tome 28 (2021) no. 3, pp. 238-249. http://geodesic.mathdoc.fr/item/MAIS_2021_28_3_a2/

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