paper-with-me

Papers

Inner-approximate Reachability Computation via Zonotopic Boundary Analysis

2024-05-18 · Dejin Ren, Zhen Liang, Chenyu Wu, Jianqiang Ding, Taoran Wu, Bai Xue

Inner-approximate reachability analysis involves calculating subsets of reachable sets, known as inner-approximations. This analysis is crucial in the fields of dynamic systems analysis and control theory as it provides a reliable estimation of the set of states that a system can reach from given initial states at a specific time instant. In this paper, we study the inner-approximate reachability analysis problem based on the set-boundary reachability method for systems modelled by ordinary differential equations, in which the computed inner-approximations are represented with zonotopes. The set-boundary reachability method computes an inner-approximation by excluding states reached from the initial set's boundary. The effectiveness of this method is highly dependent on the efficient extraction of the exact boundary of the initial set. To address this, we propose methods leveraging boundary and tiling matrices that can efficiently extract and refine the exact boundary of the initial set represented by zonotopes. Additionally, we enhance the exclusion strategy by contracting the outer-approximations in a flexible way, which allows for the computation of less conservative inner-approximations. To evaluate the proposed method, we compare it with state-of-the-art methods against a series of benchmarks. The numerical results demonstrate that our method is not only efficient but also accurate in computing inner-approximations.

📄 PDF Abstract BibTeX arXiv:2405.11155

Code (0)

등록된 구현이 없습니다.

Methods 이 논문이 사용한 방법론

SET Dynamic Sparse Training method where weight mask is updated randomly periodically

Similar Papers 제목 키워드 기반

Efficient Backward Reachability Using the Minkowski Difference of Constrained Zonotopes

2022-07-09 · Liren Yang, Hang Zhang, Jean-Baptiste Jeannin, Necmiye Ozay

Backward reachability analysis is essential to synthesizing controllers that ensure the correctness of closed-loop systems. This paper is concerned with developing scalable algorithms that under-approximate the backward …

Scalable Zonotopic Under-approximation of Backward Reachable Sets for Uncertain Linear Systems

2021-07-04 · Liren Yang, Necmiye Ozay

Zonotopes are widely used for over-approximating forward reachable sets of uncertain linear systems for verification purposes. In this paper, we use zonotopes to achieve more scalable algorithms that under-approximate ba…

Tube-Based Zonotopic Data-Driven Predictive Control

2022-09-07 · Alessio Russo, Alexandre Proutiere

We present a novel tube-based data-driven predictive control method for linear systems affected by a bounded addictive disturbance. Our method leverages recent results in the reachability analysis of unknown linear syste…

Computational Efficiency

Robust GPS-Vision Localization via Integrity-Driven Landmark Attention

2021-01-13 · Sriramya Bhamidipati, Grace Xingxin Gao

For robust GPS-vision navigation in urban areas, we propose an Integrity-driven Landmark Attention (ILA) technique via stochastic reachability. Inspired by cognitive attention in humans, we perform convex optimization to…

Position

Safety Verification for Neural Networks Based on Set-boundary Analysis

2022-10-09 · Zhen Liang, Dejin Ren, Wanwei Liu, Ji Wang 외

Neural networks (NNs) are increasingly applied in safety-critical systems such as autonomous vehicles. However, they are fragile and are often ill-behaved. Consequently, their behaviors should undergo rigorous guarantees…

Autonomous Vehicles