Observer design for continuous-time dynamical systems

P Bernard, V Andrieu, D Astolfi - Annual Reviews in Control, 2022 - Elsevier
We review the main design techniques of state observer design for continuous-time
dynamical systems, namely algorithms which reconstruct online the full information of a …

Disturbance observers and extended state observers for marine vehicles: A survey

N Gu, D Wang, Z Peng, J Wang, QL Han - Control Engineering Practice, 2022 - Elsevier
The operation performance of marine vehicles (MVs) is significantly vulnerable to external
disturbances induced by wind, waves, and ocean currents in complex marine environments …

Seizure prediction—ready for a new era

L Kuhlmann, K Lehnertz, MP Richardson… - Nature Reviews …, 2018 - nature.com
Epilepsy is a common disorder characterized by recurrent seizures. An overwhelming
majority of people with epilepsy regard the unpredictability of seizures as a major issue …

Recursive least squares algorithm and gradient algorithm for Hammerstein–Wiener systems using the data filtering

Y Wang, F Ding - Nonlinear Dynamics, 2016 - Springer
This paper considers the parameter estimation problems of Hammerstein–Wiener systems
by using the data filtering technique. In order to improve the estimation accuracy, the data …

On parameter convergence in least squares identification and adaptive control

Y Pan, T Sun, H Yu - … Journal of Robust and Nonlinear Control, 2019 - Wiley Online Library
Least squares estimation is appealing in performance and robustness improvements of
adaptive control. A strict condition termed persistent excitation (PE) needs to be satisfied to …

Bank of high-gain observers in output feedback control: Robustness analysis against measurement noise

K Esfandiari, M Shakarami - IEEE Transactions on Systems …, 2019 - ieeexplore.ieee.org
This paper analyzes the output feedback control of a class of unknown nonlinear systems in
the presence of measurement noise using multiple high-gain observers (MHGOs). It is well …

Neural mass model-based tracking of anesthetic brain states

L Kuhlmann, DR Freestone, JH Manton, B Heyse… - NeuroImage, 2016 - Elsevier
Neural mass model-based tracking of brain states from electroencephalographic signals
holds the promise of simultaneously tracking brain states while inferring underlying …