Data-driven and Physics-based Flow Characterization using Bioinspired Sensory Systems
Abstract
Data-driven and Physics-based Flow Characterization using Bioinspired Sensory SystemsThe proposed research aims at establishing general design rules for bio-inspired underwater sensory systems. We will develop a mathematical framework for analyzing such sensory systems. This problem consists of (i) identifying the relevant hydrodynamic features orsignatures that need to be reconstructed by the sensors, and (ii) designing sensory layouts that best estimate these hydrodynamic features. The latter involves two aspects: analyzing the effects of the geometric properties of the sensory systems (e.g., layout and number of sensors) on the estimation problem; and devising appropriate strategies for the dynamic deployment of sensors and how they are affected by, and in turn, influence, the properties of the sensory systems (geometry and decoding algorithms). To solve these problems, we will use techniques fromestimation theory coupled to physics-based models and nonlinear control strategies. The ultimate goal is to develop sensory systems that support the autonomous operation of underwater vehicles and the detection of unusual or suspicious flow structures and their sources.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 03, 2017
- Source ID
- N000141712287
Entities
People
- Eva Kanso
Organizations
- Office of Naval Research
- United States Navy
- University of Southern California