297 citations · 1.1k across the 32 of their papers we have counts for
6 papers · 1 filter
Non-Myopic Sensor Control for Target Search and Track Using a Sample-Based GOSPA Implementation
Marcel Hernandez, Angel Garcia-Fernandez, Simon Maskell
This paper is concerned with sensor management for target search and track using the generalised optimal subpattern assignment (GOSPA) metric. Utilising the GOSPA metric to predict…
Temporal Parallelisation of the HJB Equation and Continuous-Time Linear Quadratic Control
Simo Särkkä, Ángel F. García-Fernández
This paper presents a mathematical formulation to perform temporal parallelisation of continuous-time optimal control problems, which can be solved via the Hamilton--Jacobi--Bellma…
Posterior linearisation smoothing with robust iterations
Jakob Lindqvist, Simo Särkkä, Ángel F. García-Fernández +2
This paper considers the problem of iterative Bayesian smoothing in nonlinear state-space models with additive noise using Gaussian approximations. Iterative methods are known to i…
Temporal Parallelisation of Dynamic Programming and Linear Quadratic Control
Simo Särkkä, Ángel F. García-Fernández
This paper proposes a general formulation for temporal parallelisation of dynamic programming for optimal control problems. We derive the elements and associative operators to be a…
Damped Posterior Linearization Filter
Matti Raitoharju, Lennart Svensson, Ángel F. García-Fernández +1
The iterated posterior linearization filter (IPLF) is an algorithm for Bayesian state estimation that performs the measurement update using iterative statistical regression. The ma…
Kullback-Leibler Divergence Approach to Partitioned Update Kalman Filter
Matti Raitoharju, Ángel F. García-Fernández, Robert Piché
Kalman filtering is a widely used framework for Bayesian estimation. The partitioned update Kalman filter applies a Kalman filter update in parts so that the most linear parts of m…