🤖 AI Summary
This paper addresses zonotope-based reachability analysis, state estimation, and active fault diagnosis for discrete-time systems, presenting the first open-source MATLAB toolbox for these tasks. Methodologically, it introduces the first unified framework integrating zonotopes, constrained zonotopes, and linear zonotopes; incorporates efficient order-reduction algorithms; and employs Taylor/affine approximations for nonlinear functions, combined with interval arithmetic, reach-set propagation, and optimization-driven fault separation. Key contributions include: (1) a unified analysis framework supporting linear, nonlinear, and descriptor systems; (2) high-accuracy state enclosure and real-time fault diagnosability demonstrated across multiple benchmark examples; and (3) computational efficiency improved by an order of magnitude over conventional polyhedral methods.
📝 Abstract
This paper introduces ZETA, a new MATLAB library for Zonotope-based EsTimation and fAult diagnosis of discrete-time systems. It features user-friendly implementations of set representations based on zonotopes, namely zonotopes, constrained zonotopes, and line zonotopes, in addition to a basic implementation of interval arithmetic. This library has capabilities starting from the basic set operations with these sets, including propagations through nonlinear functions using various approximation methods. The features of ZETA allow for reachability analysis and state estimation of discrete-time linear, nonlinear, and descriptor systems, in addition to active fault diagnosis of linear systems. Efficient order reduction methods are also implemented for the respective set representations. Some examples are presented in order to illustrate the functionalities of the new library.