5 papers
Optimal Sensor Placement for Output Estimation Using an Artificial Bee Colony Algorithm with Pre-filter
R. P. P. F. Goetz, Y. Dwaraga, N. van de Wouw +4
Sensor placement for maximizing the estimation performance of the Kalman filter is an NP-hard optimization problem. Furthermore, its feasible set grows combinatorially with the can…
Scaled Graph Bounding Techniques for Reset Systems
Timo de Groot, Maurice Heemels, Tom Oomen +1
Reset systems can overcome fundamental limitations of linear time-invariant control. The recently introduced notion of scaled (relative) graphs provides a promising framework for d…
Finite Sample MIMO System Identification with Multisine Excitation: Nonparametric, Direct, and Two-step Parametric Estimators
Rodrigo A. González, Koen Classens, Cristian R. Rojas +2
Multisine excitations are widely used for identifying multi-input multi-output systems due to their periodicity, data compression properties, and control over the input spectrum. D…
Truncated Gaussian Noise Estimation in State-Space Models
Rodrigo A. González, Angel L. Cedeño, Koen Tiels +1
Within Bayesian state estimation, considerable effort has been devoted to incorporating constraints into state estimation for process optimization, state monitoring, fault detectio…
Exploiting Structure in MIMO Scaled Graph Analysis
Timo de Groot, Tom Oomen, Sebastiaan van den Eijnden
Scaled graphs offer a graphical tool for analysis of nonlinear feedback systems. Although recently substantial progress has been made in scaled graph analysis, at present their use…