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eess.SY2025
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…
eess.SY2025
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…