S. Habibi

发表

The Future of Automobiles : Cognitive Cars

S. Gadsden, S. Habibi, 2009 .

Combined electrochemical, heat generation, and thermal model for large prismatic lithium-ion batteries in real-time applications

Mohammed M. Farag, S. Habibi, Matthias Fleckenstein, 2017 .

Li-Ion Battery SoC Estimation Using a Bayesian Tracker

Saeid Habibi, Ryan Ahmed, Mohammed El-Sayed, 2013 .

The Smooth Variable Structure Filter This new method for estimating the motion of dynamic systems can compensate for sudden events such as fault conditions.

S. Habibi, 2007 .

The Variable Structure Filter

S. Habibi, R. Burton, 2003 .

Design and Optimization of An Electric Vehicle with Two Battery Cell Chemistries

S. Habibi, J. Bauman, Christina Riczu, 2018, 2018 IEEE Transportation Electrification Conference and Expo (ITEC).

The Variable Structure Filter

Saeid Habibi, Richard Burton, S. Habibi, 2002 .

A fuzzy-smooth variable structure filtering strategy: For state and parameter estimation

S. Andrew Gadsden, Mohammad A. Al-Shabi, S. Gadsden, 2013, 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT).

The Toeplitz-observability smooth variable structure filter

S. Andrew Gadsden, Mohammad A. Al-Shabi, S. Gadsden, 2013, 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT).

New novel time-varying and robust smoothing boundary layer width for the smooth variable structure filter

M. Al-Shabi, S. Habibi, S. Habibi, 2013, 2013 9th International Symposium on Mechatronics and its Applications (ISMA).

Derivation of an optimal boundary layer width for the smooth variable structure filter

S. Andrew Gadsden, Mohammed El Sayed, S. Gadsden, 2011, Proceedings of the 2011 American Control Conference.

A New Robust Filtering Strategy for Linear Systems

Saeid Habibi, S. A. Gadsden, S. Gadsden, 2012 .

Artificial neural network training utilizing the smooth variable structure filter estimation strategy

Jimi Tjong, S. Andrew Gadsden, Saeid R. Habibi, 2016, Neural Computing and Applications.

Target Tracking Using the Smooth Variable Structure Filter

S. Habibi, A. Gadsden, 2009 .

Dynamic analysis of a Li-Iron Phosphate cell using the electro-chemical modelling approach

S. Habibi, R. Ahmed, H. Afshari, 2016, 2016 IEEE Transportation Electrification Conference and Expo (ITEC).

Comparing Traditional and Machine Learning Models for Battery SOC Calculation

S. Habibi, R. Ahmed, Carlos Vidal, 2022, 2022 IEEE Transportation Electrification Conference & Expo (ITEC).

Adaptive Smooth Variable Structure Filter Strategy for State Estimation of Electric Vehicle Batteries

S. Habibi, J. Tjong, G. Goward, 2021 .

Interacting Multiple Model Strategy for Electric Vehicle Batteries State of Charge/Health/ Power Estimation

S. Habibi, R. Ahmed, S. Rahimifard, 2021, IEEE Access.

Li-Ion Battery SOC Estimation Using Non-Linear Estimation Strategies Based on Equivalent Circuit Models

Saeid Habibi, Mohammed Farag, Matthias Fleckenstein, 2014 .

Low Temperature, Current Dependent Battery State Estimation Using Interacting Multiple Model Strategy

S. Habibi, T. Shoa, Marvin Messing, 2021, IEEE Access.

Lithium-Ion Battery Relaxation Effects

S. Habibi, T. Shoa, Marvin Messing, 2019, 2019 IEEE Transportation Electrification Conference and Expo (ITEC).

Review of the Li-Ion Battery, Thermal Management, and AI-Based Battery Management System for EV Application

S. Habibi, M. Ghalkhani, 2022, Energies.

A Smooth Variable Structure filter for State estimation

Shu Wang, Saeid Habibi, Richard Burton, 2006, Control. Intell. Syst..

Leveraging Thermal Imaging for Autonomous Driving

Ben Miethig, Ash Liu, Saeid Habibi, 2019, 2019 IEEE Transportation Electrification Conference and Expo (ITEC).

Kalman filtering strategies utilizing the chattering effects of the smooth variable structure filter

S. Andrew Gadsden, Saeid R. Habibi, M. Al-Shabi, 2013, Signal Process..

Kalman and smooth variable structure filters for robust estimation

Thia Kirubarajan, S. Andrew Gadsden, Saeid R. Habibi, 2014, IEEE Transactions on Aerospace and Electronic Systems.

Combined cubature Kalman and smooth variable structure filtering: A robust nonlinear estimation strategy

S. Andrew Gadsden, Saeid R. Habibi, Ienkaran Arasaratnam, 2014, Signal Process..

Combined particle and smooth variable structure filtering for nonlinear estimation problems

Thia Kirubarajan, S. Andrew Gadsden, Saeid R. Habibi, 2011, 14th International Conference on Information Fusion.

Parameter Estimation Using a Combined Variable Structure and Kalman Filtering Approach

Saeid Habibi, S. Habibi, 2008 .

Parameter Identification for a High-Performance Hydrostatic Actuation System Using the Variable Structure Filter Concept

Saeid Habibi, Richard Burton, S. Habibi, 2007 .

The Extended Variable Structure Filter

Saeid Habibi, S. Habibi, 2006 .

Novel Model-Based Estimators for the Purposes of Fault Detection and Diagnosis

Saeid R. Habibi, S. Andrew Gadsden, Yu Song, 2013, IEEE/ASME Transactions on Mechatronics.

Combined variable structure and Kalman Filtering approach

S. Habibi, S. Habibi, 2008, 2008 American Control Conference.

The Smooth Variable Structure Filter

Saeid Habibi, S. Habibi, 2007, Proceedings of the IEEE.

Estimation using a new variable structure filter

Saeid Habibi, Richard Burton, Yuvin Chinniah, 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

Comparison of Hydrostatic and Servovalve Controlled Hydraulic Actutation Systems in Robotics

Saeid Habibi, S. Habibi, 2000 .

Sliding mode control of an electrically powered industrial robot

R. J. Richards, Saeid Habibi, S. Habibi, 1992 .

Computed-Torque and Variable-Structure Multi-Variable Control of a Hydraulic Industrial Robot

S R Habibi, R J Richards, S. Habibi, 1991 .

Nonlinear Estimation Techniques Applied on Target Tracking Problems

Saeid Habibi, Thiagalingam Kirubarajan, Darcy Dunne, 2012 .

THE SMOOTH PARTICLE VARIABLE STRUCTURE FILTER

Thia Kirubarajan, S. Andrew Gadsden, Saeid Habibi, 2012 .

Online Multiple Maneuvering Vehicle Tracking System Based on Multi-Model Smooth Variable Structure Filter

Saeid Habibi, Mina Attari, Zhongzhen Luo, 2020, IEEE Transactions on Intelligent Transportation Systems.

An SVSF-Based Generalized Robust Strategy for Target Tracking in Clutter

Saeid R. Habibi, Mina Attari, Zhongzhen Luo, 2016, IEEE Transactions on Intelligent Transportation Systems.

Development of a sliding mode controller and higher-order structure-based estimator

S. A. Gadsden, S. R. Habibi, H. H. Afshari, 2016, 2016 IEEE Transportation Electrification Conference and Expo (ITEC).

Robustness comparison of some state estimation methods with an explicit consideration of modeling uncertainties

Saeid R. Habibi, Hamed H. Afshari, Dhafar Al-Ani, 2015, 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE).

A new Sliding Mode Controller for Electro-Hydraulic Actuator (EHA) applications

Saeid Habibi, Dhafar Al-Ani, Xiang Hu, 2015, 2015 International Workshop on Recent Advances in Sliding Modes (RASM).

Mathematical modeling and fault detection and diagnosis of an electrohydrostatic actuator

Yu Song, S. Andrew Gadsden, Saeid R. Habibi, 2012, 2012 American Control Conference (ACC).

Iterative Smooth Variable Structure Filter for Parameter Estimation

Saeid Habibi, Mohammad Al-Shabi, S. Habibi, 2011 .

Application of the smooth variable structure filter to a multi-target tracking problem

Ratnasingham Tharmarasa, Saeid Habibi, Thiagalingam Kirubarajan, 2011, Defense + Commercial Sensing.

A new form of the smooth variable structure filter with a covariance derivation

S. Andrew Gadsden, Saeid R. Habibi, S. Gadsden, 2010, 49th IEEE Conference on Decision and Control (CDC).

Estimating battery state of health using electrochemical impedance spectroscopy and the relaxation effect

Saeid Habibi, Tina Shoa, Marvin Messing, 2021, Journal of Energy Storage.

Influence of alloying elements on laser powder bed fusion processability of aluminum: A new insight into the oxidation tendency

S. Habibi, S. Jadhav, E. Fereiduni, 2021 .

Failure monitoring in a high performance hydrostatic actuation system using the extended Kalman filter

Saeid Habibi, R. T. Burton, Yuvin Chinniah, 2006 .

Effect of Controller in Reducing Steady-State Error due to Flow and Force Disturbances in the Electrohydraulic Actuator System

Saeid Habibi, Richard Burton, Eric Sampson, 2004 .

Design of a new high-performance electrohydraulic actuator

Andrew A. Goldenberg, Saeid Habibi, A. Goldenberg, 2000 .

Automotive Internal-Combustion-Engine Fault Detection and Classification Using Artificial Neural Network Techniques

Jimi Tjong, S. Andrew Gadsden, Saeid R. Habibi, 2015, IEEE Transactions on Vehicular Technology.

A Novel Method for Approximating Object Location Error in Bounding Box Detection Algorithms Using a Monocular Camera

Saeid Habibi, Jimi Tjong, Jiahong Dong, 2021, IEEE Transactions on Vehicular Technology.

Gaussian filters for parameter and state estimation: A general review of theory and recent trends

S. Andrew Gadsden, Saeid R. Habibi, Hamed H. Afshari, 2017, Signal Process..

Electrochemical Impedance Spectroscopy With Practical Rest-Times for Battery Management Applications

Saeid Habibi, Tina Shoa, Marvin Messing, 2021, IEEE Access.

A Probability Occupancy Grid Based Approach for Real-Time LiDAR Ground Segmentation

Saeid Habibi, Zhongzhen Luo, Martin von Mohrenschildt, 2020, IEEE Transactions on Intelligent Transportation Systems.

Adaptive parameter robust estimation

Danil V. Prokhorov, Saeid Habibi, Dhafar S. Mohammed, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Battery state of charge estimation using an Artificial Neural Network

Saeid Habibi, Ryan Ahmed, Mahmoud Ismail, 2017, 2017 IEEE Transportation Electrification Conference and Expo (ITEC).

Continuous piecewise-linear, reduced-order electrochemical model for lithium-ion batteries in real-time applications

Saeid Habibi, Mohammed Farag, Matthias Fleckenstein, 2017 .

Neural network control of air-to-fuel ratio in a bi-fuel engine

Richard Burton, Gnanaprakash Gnanam, S. Habibi, 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Neural Network Control of a Bi-Fuel Engine

G. Gnanam, S. R. Habibi, M. T. Sulatisky, 2004 .

Sliding mode control for an electrohydraulic actuator system with discontinuous non-linear friction

Shu Wang, S Habibi, R Burton, 2008 .

IDENTIFICATION OF THE NONLINEAR FRICTION CHARACTERISTICS IN A HYDRAULIC ACTUATOR USING THE EXTENDED KALMAN FILTER

Saeid Habibi, Yuvin Chinniah, Eric Sampson, 2008 .

Sliding mode control for a model of an electrohydraulic actuator system with discontinuous nonlinear friction

Shu Wang, S. Habibi, R. Burton, 2006, 2006 American Control Conference.

IDENTIFICATION OF THE NONLINEARFRICTION CHARACTERISTICSIN A HYDRAULICACTUATORUSING THE EXTENDED KALMAN FILTER

Saeid Habibi, Richard Burton, Eric Sampson, 2008 .

High Precision Hydrostatic Actuation Systems for Micro- and Nanomanipulation of Heavy Loads

Saeid Habibi, Richard Burton, Eric Sampson, 2006 .

Reliable state of charge and state of health estimation using the smooth variable structure filter

Saeid Habibi, Mina Attari, Ryan Ahmed, 2018, Control Engineering Practice.

Reduced-Coupling Coestimation of SOC and SOH for Lithium-Ion Batteries Based on Convex Optimization

Sheng Liu, Saeid Habibi, Ali Emadi, 2020, IEEE Transactions on Power Electronics.

Parameter Estimation in a Hydrostatic System Using Extended Kalman Filter

S. Habibi, R. Burton, Y. Chinniah, 2001, Fluid Power Systems and Technology.

Estimation Strategies for the Condition Monitoring of a Battery System in a Hybrid Electric Vehicle

Saeid Habibi, Mohammad Al-Shabi, S. A. Gadsden, 2011 .

Reduced-Order Electrochemical Model Parameters Identification and SOC Estimation for Healthy and Aged Li-Ion Batteries Part I: Parameterization Model Development for Healthy Batteries

Jimi Tjong, Saeid Habibi, Ienkaran Arasaratnam, 2014, IEEE Journal of Emerging and Selected Topics in Power Electronics.

Lithium-Ion Battery State of Charge Estimation Using One State Hysteresis Model with Nonlinear Estimation Strategies

Saeid Habibi, Mina Attari, Mohammed Farag, 2017 .

Reduced-Order Electrochemical Model Parameters Identification and State of Charge Estimation for Healthy and Aged Li-Ion Batteries—Part II: Aged Battery Model and State of Charge Estimation

Jimi Tjong, Saeid Habibi, Ienkaran Arasaratnam, 2014, IEEE Journal of Emerging and Selected Topics in Power Electronics.

The Effects of Test Profile on Lithium-ion Battery Equivalent-Circuit Model Parameterization Accuracy

S. Habibi, R. Ahmed, Wenlin Zhang, 2022, IEEE Transportation Electrification Conference and Expo.

Model-Based Parameter Identification of Healthy and Aged Li-ion Batteries for Electric Vehicle Applications

Simona Onori, Jimi Tjong, Saeid Habibi, 2015 .

ESTIMATION OF AN ELECTROHYDROSTATIC ACTUATOR USING A COMBINED CUBATURE KALMAN AND SMOOTH VARIABLE STRUCTURE FILTER

S. Habibi, M. Al-Shabi, I. Arasaratnam, 2010 .

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

Samir Ziada, Mahmoud Ismail, Saeid R. Habibi, 2018, Neural Networks.

The Interacting Multiple Model Smooth Variable Structure Filter for Trajectory Prediction

S. Habibi, Salman Akhtar, 2023, IEEE Transactions on Intelligent Transportation Systems.

Target Tracking Formulation of the SVSF With Data Association Techniques

Saeid Habibi, Mina Attari, Stephen Andrew Gadsden, 2017, IEEE Transactions on Aerospace and Electronic Systems.

Artificial neural network training utilizing the smooth variable structure filter estimation strategy

S. Habibi, S. Gadsden, J. Tjong, 2016, Neural Computing and Applications.

Robust fault diagnosis of an electro-hydrostatic actuator using the Novel dynamic second-order SVSF and IMM strategy

Saeid Habibi, Hamed Hossein Afshari, S. A. Gadsden, 2014 .

Fault detection of an engine using a neural network trained by the smooth variable structure filter

S. Andrew Gadsden, Saeid R. Habibi, Ryan M. Ahmed, 2011, 2011 IEEE International Conference on Control Applications (CCA).

A New Particle Swarm Optimization and Differential Evolution Technique for Constrained Optimization Problems

Saeid Habibi, Dhafar Al-Ani, S. Habibi, 2013 .

Dual Estimation Strategy for New and Aged Electric Vehicles Batteries

Saeid Habibi, Jimi Tjong, Sara Rahimifard, 2020, 2020 IEEE Transportation Electrification Conference & Expo (ITEC).

Comparison of Kalman Filter-based state of charge estimation strategies for Li-Ion batteries

Ali Emadi, Saeid Habibi, Xiao Wang, 2016, 2016 IEEE Transportation Electrification Conference and Expo (ITEC).

Rule-Based Energy Management Strategy for a Power-Split Hybrid Electric Vehicle with LSTM Network Prediction Model

S. Habibi, A. Emadi, Yuhang Yang, 2021, European Conference on Cognitive Ergonomics.

A nonlinear second-order filtering strategy for state estimation of uncertain systems

S. Andrew Gadsden, Saeid R. Habibi, Hamed H. Afshari, 2019, Signal Process..

Sliding mode control of a pneumatic muscle actuator system with a PWM strategy

Gary M. Bone, Saeid Habibi, S. Andrew Gadsden, 2014 .

Battery SoC Estimation from EIS using Neural Nets

S. Habibi, R. Ahmed, T. Shoa, 2020, 2020 IEEE Transportation Electrification Conference & Expo (ITEC).

A novel interacting multiple model method for nonlinear target tracking

Thia Kirubarajan, S. Andrew Gadsden, Saeid R. Habibi, 2010, 2010 13th International Conference on Information Fusion.

A Process for Modeling and Analysis of Prototyped Products and its Application to a Variable Fan Drive

Saeid Habibi, Richard Burton, Philip Kroeker, 2002 .

State estimation of a faulty actuator using the second-order smooth variable structure filter (The 2ND-order SVSF)

Saeid Habibi, Hamed Hossein Afshari, Hamed H. Afshari, 2015, 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE).

Engine Fault Detection Using Vibration Signal Reconstruction in the Crank-Angle Domain

Jimi Tjong, Saeid Habibi, Ienkaran Arasaratnam, 2011 .

A review of autonomous vehicle technology landscape

Saeid Habibi, Ali Emadi, Saiedeh Razavi, 2019, International Journal of Electric and Hybrid Vehicles.