Optimal input design for parameter estimation in nonlinear state-space models using Pontryagin's minimum principle

The paper presents a methodology for optimal input design for the estimation of parameters in nonlinear state-space models. To allow analytical solutions, the methodology, using Pontryagin's minimum principle, is initially developed for low-dimensional non-linear systems that are affine in their input.The paper presents a methodology for optimal input design for the estimation of<br/>parameters in nonlinear state-space models. To allow analytical solutions, the methodology,<br/>using Pontryagin’s minimum principle, is initially developed for low-dimensional non-linear<br/>systems that are affine in their input