Restructuring Dynamical Systems for Inductive Verification

Vishnu Murali;Ashutosh Trivedi;Majid Zamani
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Abstract

Inductive approaches to deductive verification has gained widespread adoption in the control and verification of safety-critical dynamical systems. The practical success of barrier certificates attests to their effectiveness and ongoing theoretical and practical refinement. However, when verification conditions are non-inductive, various strategies are employed to address this issue. One strategy is to strengthen the property until they arrive at an inductive proof. However, it is not always obvious how one must strengthen a property. Notions of strenghtening are particularly non-obvious when the properties of interest are more expressive than safety or reachability. An alternative technique is to instead consider structural changes. These structural changes may either be to consider novel notions of induction such as $k$ -induction, or to encode additional information similar to dimension lifting. We posit that reformulating or restructuring of the system is fundamental to inductive approaches. This position article provides an overview of barrier certificate based verification approaches and their connection to system restructuring. We discuss the opportunities, challenges, and open problems in this emerging field, paving the way for future research in the verification of safety-critical dynamical systems. The framework of restructuring of a system holds promise for advancing deductive verification, enhancing system safety, and promoting design insights.
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用于归纳验证的重构动力系统
演绎验证的归纳方法在安全关键动力系统的控制和验证中得到了广泛的采用。障碍证书的实际成功证明了它们的有效性以及不断的理论和实践完善。然而,当验证条件是非归纳的时,会采用各种策略来解决这个问题。一种策略是加强属性,直到他们得出归纳证明。然而,如何加固一处房产并不总是显而易见的。当感兴趣的属性比安全性或可达性更具表现力时,强化的概念尤其不明显。另一种技术是考虑结构变化。这些结构变化可能是为了考虑新的归纳概念,如$k$-归纳,也可能是为了编码类似于维度提升的额外信息。我们认为,系统的重新制定或重组是归纳方法的基础。这篇立场文章概述了基于屏障证书的验证方法及其与系统重组的联系。我们讨论了这一新兴领域的机遇、挑战和悬而未决的问题,为未来安全关键动力系统验证的研究铺平了道路。系统重组框架有望推进演绎验证、增强系统安全性和促进设计洞察力。
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Erratum to “Learning to Boost the Performance of Stable Nonlinear Systems” Generalizing Robust Control Barrier Functions From a Controller Design Perspective 2024 Index IEEE Open Journal of Control Systems Vol. 3 Front Cover Table of Contents
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