Sampled-Data Estimator for Nonlinear Systems with Arbitrarily Fast Rate of Convergence
We study continuous-time nonlinear systems with discrete measurements. We provide an estimate of the state variable that converges with a rate of convergence that can be made arbitrarily large by reducing the size of the largest sampling interval. Our proof of the convergence result is based on a recently developed trajectory based approach.
Publication Source (Journal or Book title)
Proceedings of the American Control Conference
Mazenc, F., Malisoff, M., & Niculescu, S. (2020). Sampled-Data Estimator for Nonlinear Systems with Arbitrarily Fast Rate of Convergence. Proceedings of the American Control Conference, 2020-July, 1685-1689. https://doi.org/10.23919/ACC45564.2020.9147808