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arXiv · 2408.09534

Safety Critical Control for Nonlinear Systems with Complex Input Constraints

Yaosheng Deng·Yang Bai·Yujie Wang·Masaki Ogura·Mir Feroskhan
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Abstract

In this paper, we propose a novel Control Barrier Function (CBF) based controller for nonlinear systems with complex, time-varying input constraints. To deal with these constraints, we introduce an auxiliary control input to transform the original system into an augmented one, thus reformulating the constrained-input problem into a constrained-output one. This transformation simplifies the Quadratic Programming (QP) formulation and enhances compatibility with the CBF framework. As a result, the proposed method can systematically address the complex, time-varying, and state-dependent input constraints. The efficacy of the proposed approach is validated using numerical examples.

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Yaosheng Deng, Yang Bai, Yujie Wang, Masaki Ogura, Mir Feroskhan. 2024-08-18. Safety Critical Control for Nonlinear Systems with Complex Input Constraints. https://doi.org/10.1109/tac.2025.3570826

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