Matthew Bryant

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Iterative Learning

Traffic Surveillance

Underwater Vehicles

Satellite Imagery

Top Venues

IEEE Trans. Control. Syst. Technol.

Publications

James Reed, Kartik Naik, Andrew Abney, Dillon Herbert, Jacob B. Fine, Ashwin Vadlamannati, James Morris, Trip Taylor, Michael Muglia, Kenneth Granlund, Matthew Bryant, Chris Vermillion
Experimental Validation of an Iterative Learning-Based Flight Trajectory Optimizer for an Underwater Kite. IEEE Trans. Control. Syst. Technol. 32 (4) (2024)
Ryan Lynch, Sumedh Beknalkar, Jack Lynch, Andre Mazzoleni, Matthew Bryant
Effects of Neural Network Architecture on Topography Estimation From Satellite Imagery for Multi-Terrain Autonomous Vehicle Path Planning and Control. MOST (2023)
Jacob B. Fine, Carson M. McGuire, James Reed, Matthew Bryant, Chris Vermillion
Optimal Cyclic Control of a Structurally Constrained Span-Morphing Underwater Kite in a Spatiotemporally Varying Flow. ACC (2023)
Kevin Nguyen, Matthew Bryant, In-Hyouk Song, Byoung-Hee You, Seyedmeysam Khaleghian
The Application of PVDF-Based Piezoelectric Patches in Energy Harvesting from Tire Deformation. Sensors 22 (24) (2022)
Zak Leonard, Samuel Bryant, Kartik Naik, Andrew Abney, Dillon Herbert, Hosam K. Fathy, Kenneth Granlund, Andre Mazzoleni, Matthew Bryant, Chris Vermillion
Sensor Fusion Observer Design and Experimental Validation for an Underwater Kite. ACC (2022)
Stefan Atay, Tyler Jenkins, Gregory D. Buckner, Matthew Bryant
Energetic analysis and optimization of a bi-modal rolling-flying vehicle. Int. J. Intell. Robotics Appl. 4 (1) (2020)
Stefan Atay, Matthew Bryant, Gregory D. Buckner
Real-Time Power Optimization of a Bi-Modal Rolling-Flying Vehicle via Extremum Seeking Control. ACC (2020)