Smooth Converse Lyapunov-Barrier Theorems for Asymptotic Stability with Safety Constraints and Reach-Avoid-Stay Specifications
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Abstract (arXiv)
Stability and safety are two important aspects in safety-critical control of dynamical systems. It has been a well established fact in control theory that stability properties can be characterized by Lyapunov functions. Reachability properties can also be naturally captured by Lyapunov functions for finite-time stability. Motivated by safety-critical control applications, such as in autonomous systems and robotics, there has been a recent surge of interests in characterizing safety properties using barrier functions. Lyapunov and barrier functions conditions, however, are sometimes viewed as competing objectives. In this paper, we provide a unified theoretical treatment of Lyapunov and barrier functions in terms of converse theorems for stability properties with safety guarantees and reach-avoid-stay type specifications. We show that if a system (modeled as a dynamical system with measurable perturbations) possesses a stability with safety property, then there exists a smooth Lyapunov function to certify such a property. This Lyapunov function is shown to be defined on the entire set of initial conditions from which solutions satisfy this property. A similar but slightly weaker statement is made for reach-avoid-stay specifications. We show by a simple example that the latter statement cannot be strengthened without additional assumptions. We further extend the results for systems with control inputs and prove existence of converse Lyapunov-barrier functions for reach-and-avoid specifications. While the converse Lyapunov-barrier theorems are not constructive, as with classical converse Lyapunov theorems, we believe that the unified necessary and sufficient conditions with a single Lyapunov-barrier function are of theoretical interest and can hopefully shed some light on computational approaches.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Sep 2020.
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Citing papers per year: 2023: 4.
4 papers.
- 2023Physics-Informed Neural Network Lyapunov Functions: PDE Characterization, Learning, and Verificationcited by 20
- 2023Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functionscited by 9
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- 2023Harmonic Control Lyapunov Barrier Functions for Constrained Optimal Control with Reach-Avoid Specificationscited by 0
- 2023Physics-Informed Neural Network Lyapunov Functions: PDE Characterization, Learning, and Verification14 Dec 2023
- 2023Harmonic Control Lyapunov Barrier Functions for Constrained Optimal Control with Reach-Avoid Specifications4 Oct 2023
- 2023A General Framework for Verification and Control of Dynamical Models via Certificate Synthesis12 Sep 2023
- 2023Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions16 May 2023