5 citations · 8 across the 2 of their papers we have counts for
3 papers
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…
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,…
Optimal input design for non-linear dynamic systems: a graph theory approach
Patricio E. Valenzuela, Cristian R. Rojas, Håkan Hjalmarsson
In this article a new algorithm for the design of stationary input sequences for system identification is presented. The stationary input signal is generated by optimizing an appro…