Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Morgansen, Kristi A."'
Autor:
Boyacıoğlu, Burak, Babaei, Mahnoush, Mamo, Amanuel H., Bergbreiter, Sarah, Daniel, Thomas L., Morgansen, Kristi A.
Systems in nature are stochastic as well as nonlinear. In traditional applications, engineered filters aim to minimize the stochastic effects caused by process and measurement noise. Conversely, a previous study showed that the process noise can reve
Externí odkaz:
http://arxiv.org/abs/2310.00127
The neural encoding by biological sensors of flying insects, which prefilters stimulus data before sending it to the central nervous system in the form of voltage spikes, enables sensing capabilities that are computationally low-cost while also being
Externí odkaz:
http://arxiv.org/abs/2206.02361
Autor:
Avant, Trevor, Morgansen, Kristi A.
In this paper, we approach the task of determining sensitivity bounds for pose estimation neural networks. This task is particularly challenging as it requires characterizing the sensitivity of 3D rotations. We develop a sensitivity measure that desc
Externí odkaz:
http://arxiv.org/abs/2203.09937
Autor:
Brace, Natalie, Morgansen, Kristi A.
In certain systems which are subject to significant constant external forcing such as an airplane in wind or an underwater glider in ocean currents, the ability to detect the forcing depends on both the measurements available and whether appropriate
Externí odkaz:
http://arxiv.org/abs/2105.13423
Autor:
Avant, Trevor, Morgansen, Kristi A.
In this paper, we determine analytical upper bounds on the local Lipschitz constants of feedforward neural networks with ReLU activation functions. We do so by deriving Lipschitz constants and bounds for ReLU, affine-ReLU, and max pooling functions,
Externí odkaz:
http://arxiv.org/abs/2104.14672
Autor:
Brunton, Steven L., Kutz, J. Nathan, Manohar, Krithika, Aravkin, Aleksandr Y., Morgansen, Kristi, Klemisch, Jennifer, Goebel, Nicholas, Buttrick, James, Poskin, Jeffrey, Blom-Schieber, Agnes, Hogan, Thomas, McDonald, Darren
Data science, and machine learning in particular, is rapidly transforming the scientific and industrial landscapes. The aerospace industry is poised to capitalize on big data and machine learning, which excels at solving the types of multi-objective,
Externí odkaz:
http://arxiv.org/abs/2008.10740
Autor:
Avant, Trevor, Morgansen, Kristi A.
In this paper, we determine analytical bounds on the local Lipschitz constants of of affine functions composed with rectified linear units (ReLUs). Affine-ReLU functions represent a widely used layer in deep neural networks, due to the fact that conv
Externí odkaz:
http://arxiv.org/abs/2008.06141
Autor:
Powel, Nathan, Morgansen, Kristi A.
We extend observability metrics based on the empirical observability Gramian from deterministic nonlinear systems to nonlinear stochastic systems in order to capture the impact of process noise on observability. We demonstrate that the empirical obse
Externí odkaz:
http://arxiv.org/abs/2006.07451
Autor:
Avant, Trevor, Morgansen, Kristi A.
Publikováno v:
In Automatica September 2023 155
This paper is concerned with the design of an augmented state feedback controller for finite-dimensional linear systems with nonlinear observation dynamics. Most of the theoretical results in the area of (optimal) feedback design are based on the ass
Externí odkaz:
http://arxiv.org/abs/1908.11329