4 papers
A guided residual search for nonlinear state-space identification
Merijn Floren, Jan Swevers
Identifying the parameters of nonlinear state-space models from input-output data typically requires solving a highly non-convex optimization problem, which is prone to slow conver…
A sliding-window approach for latent restoring force modeling
Merijn Floren, Jan Swevers
Restoring force surface (RFS) methods offer an attractive nonparametric framework for identifying nonlinear restoring forces directly from data, but their reliance on complete kine…
Inference and Learning of Nonlinear LFR State-Space Models
Merijn Floren, Jean-Philippe Noël, Jan Swevers
Estimating the parameters of nonlinear block-oriented state-space models from input-output data typically involves solving a highly non-convex optimization problem, which is prone…
Feedback linearisation of mechanical systems using data-driven models
Merijn Floren, Koen Classens, Tom Oomen +1
Linearising the dynamics of nonlinear mechanical systems is an important and open research area. A common approach is feedback linearisation, which is a nonlinear control method th…