Observer design for continuous-time dynamical systems
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 …
dynamical systems, namely algorithms which reconstruct online the full information of a …
Disturbance observers and extended state observers for marine vehicles: A survey
The operation performance of marine vehicles (MVs) is significantly vulnerable to external
disturbances induced by wind, waves, and ocean currents in complex marine environments …
disturbances induced by wind, waves, and ocean currents in complex marine environments …
Seizure prediction—ready for a new era
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 …
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 …
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
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 …
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 …
the presence of measurement noise using multiple high-gain observers (MHGOs). It is well …
Neural mass model-based tracking of anesthetic brain states
Neural mass model-based tracking of brain states from electroencephalographic signals
holds the promise of simultaneously tracking brain states while inferring underlying …
holds the promise of simultaneously tracking brain states while inferring underlying …