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On data-driven stabilization of systems with quadratic nonlinearities

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arxiv 2103.15631 v1 pith:3DMXYKYM submitted 2021-03-29 eess.SY cs.SYmath.DS

On data-driven stabilization of systems with quadratic nonlinearities

classification eess.SY cs.SYmath.DS
keywords controllerdataderivedinformationpriorsystemsystemsabsolutely
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In this paper, we directly design a state feedback controller that stabilizes a class of uncertain nonlinear systems solely based on input-state data collected from a finite-length experiment. Necessary and sufficient conditions are derived to guarantee that the system is absolutely stabilizable and a controller is designed. Results derived under some relaxed prior information about the system and strengthened data assumptions are also discussed. Numerical examples illustrate the method with different levels of prior information.

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