Risk-Aware Particle Filtering For State Estimation In Recirculating Aquaculture Systems
Published in The 56th Asilomar Conference on Signals, Systems, and Computers, 2022
We design a sequential non-linear risk-aware estimator based on particle filtering to compute estimates and approximate the system state posterior distribution. For this purpose, we consider the risk given by the expected variance of the squared error between the system state and the estimate conditioned on the observations. Read more
Recommended citation: J. Cardenas-Cartagena, M. Elnourani, B. Beferull-Lozano, and D. Romero, “Risk- Aware Particle Filtering For State Estimation In Recirculating Aquaculture Systems ,” in the 56th Asilomar Conference on Signals, Systems, and Computers, USA, 2022. TBA