<div>Ensuring the robustness and resilience of safety-critical systems from civil aviation to military surveillance technologies requires improvements to target tracking capabilities. Implementing target tracking as a distributed function can improve the quality and availability of information for end users. Any errors in the model of a target's dynamics or a sensor network's measurement process will result in estimates with degraded accuracy or even filter divergence. This dissertation solves a distributed estimation problem for estimating the state of a dynamical system and the parameters defining a model of that system.</div><div>The novelty of this work lies in the ability of a sensor network to maintain consensus on state and parameter estimates through local communications between sensor platforms.</div>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/7792451 |
| Date | 10 June 2019 |
| Creators | Michael A. Jacobs (5929805) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/Distributed_and_Adaptive_Target_Tracking_with_a_Sensor_Network/7792451 |
Page generated in 0.0014 seconds