Saeid R. Habibi

According to our database1, Saeid R. Habibi authored at least 37 papers between 1995 and 2023.

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

Timeline

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On csauthors.net:

Bibliography

2023
Estimation Strategies for the Condition Monitoring of a Battery Systemin a Hybrid Electric Vehicle.
CoRR, 2023

Efficient Hairpin Winding Fault Detection Using Impedance Measurements.
IEEE Access, 2023

State of Temperature Estimation of Li-Ion Batteries Using 3rd Order Smooth Variable Structure Filter.
IEEE Access, 2023

Enhanced Multiple DBSCAN Algorithm for Traffic Detection Using mmWave Radar.
Proceedings of the IEEE International Conference on Mobility, 2023

2022
System Failure Detection Using Deep Learning Models Integrating Timestamps With Nonuniform Intervals.
IEEE Access, 2022

2021
A Novel Method for Approximating Object Location Error in Bounding Box Detection Algorithms Using a Monocular Camera.
IEEE Trans. Veh. Technol., 2021

Interacting Multiple Model Strategy for Electric Vehicle Batteries State of Charge/Health/ Power Estimation.
IEEE Access, 2021

Electrochemical Impedance Spectroscopy With Practical Rest-Times for Battery Management Applications.
IEEE Access, 2021

Low Temperature, Current Dependent Battery State Estimation Using Interacting Multiple Model Strategy.
IEEE Access, 2021

2020
A Probability Occupancy Grid Based Approach for Real-Time LiDAR Ground Segmentation.
IEEE Trans. Intell. Transp. Syst., 2020

Online Multiple Maneuvering Vehicle Tracking System Based on Multi-Model Smooth Variable Structure Filter.
IEEE Trans. Intell. Transp. Syst., 2020

2019
A nonlinear second-order filtering strategy for state estimation of uncertain systems.
Signal Process., 2019

2018
Estimation theory and Neural Networks revisited: REKF and RSVSF as optimization techniques for Deep-Learning.
Neural Networks, 2018

2017
Target Tracking Formulation of the SVSF With Data Association Techniques.
IEEE Trans. Aerosp. Electron. Syst., 2017

Gaussian filters for parameter and state estimation: A general review of theory and recent trends.
Signal Process., 2017

2016
An SVSF-Based Generalized Robust Strategy for Target Tracking in Clutter.
IEEE Trans. Intell. Transp. Syst., 2016

Artificial neural network training utilizing the smooth variable structure filter estimation strategy.
Neural Comput. Appl., 2016

2015
Automotive Internal-Combustion-Engine Fault Detection and Classification Using Artificial Neural Network Techniques.
IEEE Trans. Veh. Technol., 2015

Robustness comparison of some state estimation methods with an explicit consideration of modeling uncertainties.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

State estimation of a faulty actuator using the second-order smooth variable structure filter (The 2<sup>ND</sup>-order SVSF).
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

2014
Kalman and smooth variable structure filters for robust estimation.
IEEE Trans. Aerosp. Electron. Syst., 2014

Combined cubature Kalman and smooth variable structure filtering: A robust nonlinear estimation strategy.
Signal Process., 2014

2013
Kalman filtering strategies utilizing the chattering effects of the smooth variable structure filter.
Signal Process., 2013

Nonlinear estimation of stator winding resistance in a brushless DC motor.
Proceedings of the American Control Conference, 2013

Target tracking formulation of the SVSF as a probabilistic data association algorithm.
Proceedings of the American Control Conference, 2013

2012
Optimal pump operation for water distribution systems using a new multi-agent Particle Swarm Optimization technique with EPANET.
Proceedings of the 25th IEEE Canadian Conference on Electrical and Computer Engineering, 2012

Mathematical modeling and fault detection and diagnosis of an electrohydrostatic actuator.
Proceedings of the American Control Conference, 2012

2011
Combined particle and smooth variable structure filtering for nonlinear estimation problems.
Proceedings of the 14th International Conference on Information Fusion, 2011

Derivation of an optimal boundary layer width for the smooth variable structure filter.
Proceedings of the American Control Conference, 2011

Fault detection and diagnosis of an electrohydrostatic actuator using a novel interacting multiple model approach.
Proceedings of the American Control Conference, 2011

Fault detection of an engine using a neural network trained by the smooth variable structure filter.
Proceedings of the IEEE International Conference on Control Applications, 2011

2010
A novel interacting multiple model method for nonlinear target tracking.
Proceedings of the 13th Conference on Information Fusion, 2010

A new form of the smooth variable structure filter with a covariance derivation.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2008
Adaptive parameter robust estimation.
Proceedings of the International Joint Conference on Neural Networks, 2008

Combined variable structure and Kalman Filtering approach.
Proceedings of the American Control Conference, 2008

2007
The Smooth Variable Structure Filter.
Proc. IEEE, 2007

1995
Design and COntrol of a Reconfigurable Industrial Hydraulic Robot.
Proceedings of the 1995 International Conference on Robotics and Automation, 1995


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