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Local stability analysis for large polynomial spline systems
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DOI：10.1016/j.automatica.2019.108773.png)
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Abstract
En 中文
Polynomial switching systems such as multivariate splines provide accurate fitting while retaining an algebraic representation and offering arbitrary degrees of smoothness; yet, application of sum-of-squares techniques for local stability analysis is computationally demanding for a large number of subdomains. This communique presents an algorithm for region of attraction estimation that is confined to those subdomains actually covered by the estimate, thereby significantly reducing computation time. Correctness of the results is subsequently proven and the run time is approximated in terms of the number of total and covered subdomains. Application to longitudinal aircraft motion concludes the study. (C) 2019 Elsevier Ltd. All rights reserved.
Keywords:
Nonlinear analysis
Stability analysis
Switching functions
Polynomial methods
Lyapunov function
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