34 citations · 168 across the 14 of their papers we have counts for
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math.OC2016
Particle-based Gaussian process optimization for input design in nonlinear dynamical models
Patricio E. Valenzuela, Johan Dahlin, Cristian R. Rojas +1
We propose a novel approach to input design for identification of nonlinear state space models. The optimal input sequence is obtained by maximizing a scalar cost function of the F…
math.OC2014★ 5 cited
A graph/particle-based method for experiment design in nonlinear systems
Patricio E. Valenzuela, Johan Dahlin, Cristian R. Rojas +1
We propose an extended method for experiment design in nonlinear state space models. The proposed input design technique optimizes a scalar cost function of the information matrix,…