no code implementations • 30 Jan 2024 • Robert K. Niven, Laurent Cordier, Ali Mohammad-Djafari, Markus Abel, Markus Quade
For multivariate Gaussian likelihood and prior distributions, the Bayesian formulation gives Gaussian posterior and evidence distributions, in which the numerator terms can be expressed in terms of the Mahalanobis distance or ``Gaussian norm'' $||\vy-\hat{\vy}||^2_{M^{-1}} = (\vy-\hat{\vy})^\top {M^{-1}} (\vy-\hat{\vy})$, where $\vy$ is a vector variable, $\hat{\vy}$ is its estimator and $M$ is the covariance matrix.
no code implementations • 15 Dec 2016 • Julien Gout, Markus Quade, Kamran Shafi, Robert K. Niven, Markus Abel
In this paper, we formulate the synchronization control in dynamical systems as an optimization problem and present a multi-objective genetic programming-based approach to infer optimal control functions that drive the system from a synchronized to a non-synchronized state and vice-versa.