… Our approach generalizes and improves upon prior work using zonotope transformers
and we extend to Lipschitz estimation of neural networks with large output dimension. This …

In this paper, the problem of distributed fault detection based on zonotope is investigated for
a class of discrete-time linear system monitored by a sensor network. Considering the …

… The boundary reachability of the observer error system is analyzed via zonotope. Zonotope-based
iterative algorithms with and without the output integral are built to generate estimated …

… of zonotopes formula resembles the traditional diffusion step in the stochastic Kalman filter.
Our new zonotopes … We represent sets as zonotopes since they compactly represent high-…

This paper studies the identification problem for piecewise affine system, which is a special
nonlinear system. As the difficulty in identifying piecewise affine system is to determine each …

… In this paper, we show that this set is a particular case of what is called a zonotope, and
that we can use known results about zonotopes to make the corresponding computational …

… zonotope shape matrix. This paper proposes a time-varying parameter modeling … on
zonotope-ellipsoid double filtering technique. Considering the time-varying parameters, a zonotope …

… Then, by utilizing the properties of zonotopes, the desired zonotopes are derived, which …
these zonotopes, and the uniform boundedness is analyzed for the $F$ -radius of the zonotope …

Recently, autonomous ships in the field of shipbuilding have become popular. Among the
various technologies of autonomous ships, autonomous berthing is very important. Thus, a …

… We first demonstrate the Transformer architecture instantiated to binary sequence classification,
after which we explain the Zonotope domain and how Zonotopes are used for neural …