SYSYSep 15, 2017

Chebyshev Approximation and Higher Order Derivatives of Lyapunov Functions for Estimating the Domain of Attraction

arXiv:1709.0523610 citationsh-index: 32
AI Analysis

For control engineers analyzing stability of non-polynomial systems, this provides a more accurate and efficient method for DA estimation.

This paper proposes Chebyshev approximation methods for estimating the Domain of Attraction (DA) of non-polynomial systems, achieving improved accuracy and efficiency over Taylor approximation.

Estimating the Domain of Attraction (DA) of non-polynomial systems is a challenging problem. Taylor expansion is widely adopted for transforming a nonlinear analytic function into a polynomial function, but the performance of Taylor expansion is not always satisfactory. This paper provides solvable ways for estimating the DA via Chebyshev approximation. Firstly, for Chebyshev approximation without the remainder, higher order derivatives of Lyapunov functions are used for estimating the DA, and the largest estimate is obtained by solving a generalized eigenvalue problem. Moreover, for Chebyshev approximation with the remainder, an uncertain polynomial system is reformulated, and a condition is proposed for ensuring the convergence to the largest estimate with a selected Lyapunov function. Numerical examples demonstrate that both accuracy and efficiency are improved compared to Taylor approximation.

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