Mohsen Ekramian

Orcid: 0000-0002-7776-4047

According to our database1, Mohsen Ekramian authored at least 14 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Reduction of Torque Oscillations in Permanent Magnet Synchronous Machine Using Optimal Current Injection Based on Unbalanced Load Detection.
IEEE Trans. Ind. Electron., December, 2024

Robust sliding-mode observer for unbounded state nonlinear systems.
Int. J. Syst. Sci., October, 2024

2023
A robust distributed observer design for Lipschitz nonlinear systems with time-varying switching topology.
J. Frankl. Inst., September, 2023

2022
Decrease the order of nonlinear predictors based on generalized-Lipschitz condition.
Eur. J. Control, 2022

2020
Piezoelectric Actuators with Uncertainty: Observer-Based Hysteresis Compensation and Joint Stability Analysis.
IEEE Trans. Control. Syst. Technol., 2020

Static output feedback problem for Lipschitz nonlinear systems.
J. Frankl. Inst., 2020

2019
Time-Delay Estimation in State and Output Equations of Nonlinear Systems Using Optimal Computational Approach.
J. Optim. Theory Appl., 2019

Continuous nonsingular terminal sliding mode control based on adaptive sliding mode disturbance observer for uncertain nonlinear systems.
Autom., 2019

2018
Stability of nonlinear time-delay systems satisfying a quadratic constraint.
Trans. Inst. Meas. Control, 2018

Cascade high-gain observers for a class of nonlinear systems with large delayed measurements.
Int. J. Syst. Sci., 2018

An adaptive arm's mechanical impedance estimator for rehabilitation robots without force and acceleration sensors.
Int. J. Syst. Sci., 2018

2017
Observer-based controller for Lipschitz nonlinear systems.
Int. J. Syst. Sci., 2017

2013
Adaptive state observer for Lipschitz nonlinear systems.
Syst. Control. Lett., 2013

Dynamic gain observer design for Lipschitz nonlinear systems subjected to noise.
Int. J. Syst. Sci., 2013


  Loading...