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arXiv 2602.03646eess.SYcs.SY
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非线性系统中基于集合的观测器比较

A Comparison of Set-Based Observers for Nonlinear Systems

Technical University of Munich(慕尼黑工业大学)

Nico Holzinger, Matthias Althoff

AI总结:

本文基于集合的观测器在非线性离散时间系统中进行比较,评估了计算效率、可扩展性和保守性,为安全关键应用提供工具支持的全面分析。

摘要:

基于集合的状态估计计算与系统模型一致的状态集合,给定有界扰动和噪声集。对安全关键应用来说,对状态集进行边界界定至关重要,以确保所有规范得到满足。虽然已经提出了许多方法用于非线性离散时间系统,但缺乏在可比条件下的一致评估。本文在CORA框架内回顾并实现了一组代表性的基于集合的观测器。为了提供客观比较,这些方法在常见基准上进行评估,并检查计算努力、可扩展性和所得到的状态边界保守性。本研究突出了观测器类别和集合表示之间的特征权衡,以及在实施过程中出现的实践考虑。所有实现均已公开,以支持可重复性和未来开发。本文因此提供了非线性离散时间系统保证状态估计器的首次广泛、工具支持的比较。

英文摘要:

Set-based state estimation computes sets of states consistent with a system model given bounded sets of disturbances and noise. Bounding the set of states is crucial for safety-critical applications so that one can ensure that all specifications are met. While numerous approaches have been proposed for nonlinear discrete-time systems, a unified evaluation under comparable conditions is lacking. This paper reviews and implements a representative selection of set-based observers within the CORA framework. To provide an objective comparison, the methods are evaluated on common benchmarks, and we examine computational effort, scalability, and the conservatism of the resulting state bounds. This study highlights characteristic trade-offs between observer categories and set representations, as well as practical considerations arising in their implementation. All implementations are made publicly available to support reproducibility and future development. This paper thereby offers the first broad, tool-supported comparison of guaranteed state estimators for nonlinear discrete-time systems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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