activity
20192022
most citedA New Approach to Multilinear Dynamical Systems and Control

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG20221 cited

Forecasting Multilinear Data via Transform-Based Tensor Autoregression

Jackson Cates, Randy C. Hoover, Kyle Caudle +3

In the era of big data, there is an increasing demand for new methods for analyzing and forecasting 2-dimensional data. The current research aims to accomplish these goals through…

cs.LG2022

High-Order Multilinear Discriminant Analysis via Order- Tensor Eigendecomposition

Cagri Ozdemir, Randy C. Hoover, Kyle Caudle +1

Higher-order data with high dimensionality is of immense importance in many areas of machine learning, computer vision, and video analytics. Multidimensional arrays (commonly refer…

cs.LG20211 cited

A New Approach to Multilinear Dynamical Systems and Control

Randy C. Hoover, Kyle Caudle, Karen Braman

The current paper presents a new approach to multilinear dynamical systems analysis and control. The approach is based upon recent developments in tensor decompositions and a newly…

eess.SY2019

Sliding Mode Control for Mixed Conventional/Braking Actuation Mobile Robots

Walelign Nikshi, Randy C. Hoover, Mark D. Bedillion +2

The Mixed convention/braking Actuation Mobile Robot (MAMR) was designed to tackle some of the drawbacks of conventional mobile robots such as losing controllability due to primary…

eess.SY2019

Fuzzy Logic Control for Mixed conventional/braking Actuation Mobile Robots

Walelign Nikshi, Randy C. Hoover, Mark D. Bedillion +2

The use of conventional actuators in robotic systems (electric motors in particular), while often offering advantages in terms of flexibility and controllability, suffer from prima…