A new form of the smooth variable structure filter with a covariance derivation. - S. Andrew Gadsden; Saeid R. Habibi (CDC, 2010)

A novel interacting multiple model method for nonlinear target tracking. - S. Andrew Gadsden; Saeid R. Habibi; Thia Kirubarajan (FUSION, 2010)

Fault detection of an engine using a neural network trained by the smooth variable structure filter. - Ryan M. Ahmed; Mohammed A. El Sayed; S. Andrew Gadsden; Saeid R. Habibi (CCA, 2011)

Fault detection and diagnosis of an electrohydrostatic actuator using a novel interacting multiple model approach. - S. Andrew Gadsden; Kevin McCullough; Saeid R. Habibi (ACC, 2011)

Derivation of an optimal boundary layer width for the smooth variable structure filter. - S. Andrew Gadsden; Mohammed A. El Sayed; Saeid R. Habibi (ACC, 2011)

Combined particle and smooth variable structure filtering for nonlinear estimation problems. - S. Andrew Gadsden; Darcy Dunne; Saeid R. Habibi; Thia Kirubarajan (FUSION, 2011)

Mathematical modeling and fault detection and diagnosis of an electrohydrostatic actuator. - S. Andrew Gadsden; Yu Song; Saeid R. Habibi (ACC, 2012)

Target tracking formulation of the SVSF as a probabilistic data association algorithm. - Mina Attari; S. Andrew Gadsden; Saeid R. Habibi (ACC, 2013)

Nonlinear estimation of stator winding resistance in a brushless DC motor. - Wanlin Zhang; S. Andrew Gadsden; Saeid R. Habibi (ACC, 2013)

Kalman filtering strategies utilizing the chattering effects of the smooth variable structure filter. - Mohammad Al-Shabi; S. Andrew Gadsden; Saeid R. Habibi (Signal Process., 2013)

Combined cubature Kalman and smooth variable structure filtering: A robust nonlinear estimation strategy. - S. Andrew Gadsden; Mohammad Al-Shabi; Ienkaran Arasaratnam; Saeid R. Habibi (Signal Process., 2014)

Kalman and smooth variable structure filters for robust estimation. - Stephen Andrew Gadsden; Saeid R. Habibi; Thia Kirubarajan (IEEE Trans. Aerosp. Electron. Syst., 2014)

Automotive Internal-Combustion-Engine Fault Detection and Classification Using Artificial Neural Network Techniques. - Ryan M. Ahmed; Mohammed A. El Sayed; S. Andrew Gadsden; Jimi Tjong; Saeid R. Habibi (IEEE Trans. Veh. Technol., 2015)

SURF and image processing techniques applied to an autonomous overhead crane. - Majdeddin Kajkouj; Samer Al-Shaer; Khaled S. Hatamleh; Iyad Salameh; Mohammad Al-Shabi; S. Andrew Gadsden; Andrew Sanghyun Lee (MED, 2016)

Adaptive integral sliding mode controller for longitudinal rotation control of a tilt-rotor aircraft. - Jin H. Kim; S. Andrew Gadsden; Stephen A. Wilkerson (MED, 2016)

Artificial neural network training utilizing the smooth variable structure filter estimation strategy. - Ryan M. Ahmed; Mohammed A. El Sayed; S. Andrew Gadsden; Jimi Tjong; Saeid R. Habibi (Neural Comput. Appl., 2016)

A Variable Structure-Based Estimation Strategy Applied to an RRR Robot System. - Jacob Goodman; Jinho Kim; Andrew Sanghyun Lee; S. Andrew Gadsden; Mohammad Al-Shabi (J. Robotics Netw. Artif. Life, 2017)

Dynamic Model and Motion Control of a Robotic Manipulator. - Jinho Kim; Kevin Chang 005; Brian Schwarz; Andrew Sanghyun Lee; S. Andrew Gadsden; Mohammad Al-Shabi (J. Robotics Netw. Artif. Life, 2017)

Gaussian filters for parameter and state estimation: A general review of theory and recent trends. - Hamed H. Afshari; S. Andrew Gadsden; Saeid R. Habibi (Signal Process., 2017)

Target Tracking Formulation of the SVSF With Data Association Techniques. - Mina Attari; Saeid R. Habibi; Stephen Andrew Gadsden (IEEE Trans. Aerosp. Electron. Syst., 2017)

Air-LUSI: Estimation, Filtering, and PID Tracking Simulation. - Andrew Cataford; S. Andrew Gadsden; Kevin Turpie; Mohammad Biglarbegian (CCECE, 2018)

Mobile Robot Motion Tracking Using Descriptor Matching and Sensor Fusion. - Jake Chittle; S. Andrew Gadsden; Mohammad Biglarbegian (CCECE, 2018)

Power System Dynamic State Estimation Using Smooth Variable Structure Filter. - Ibrahim Al-Omari; Abolfazl Rahimnejad; S. Andrew Gadsden; Medhat Moussa; Hadis Karimipour (GlobalSIP, 2019)

Combined Quaternion-Based Error State Kalman Filtering and Smooth Variable Structure Filtering for Robust Attitude Estimation. - Wonkeun Youn; Stephen Andrew Gadsden (IEEE Access, 2019)

Robust nonlinear control and estimation of a Prrr robot System. - Mohammad Al-Shabi; Khaled S. Hatamleh; Stephen A. Gadsden; Bassel Soudan; Amr Elnady (Int. J. Robotics Autom., 2019)

A nonlinear second-order filtering strategy for state estimation of uncertain systems. - Hamed H. Afshari; S. Andrew Gadsden; Saeid R. Habibi (Signal Process., 2019)

The Sliding Innovation Filter. - S. Andrew Gadsden; Mohammad Al-Shabi (IEEE Access, 2020)

Enhanced Bioinspired Backstepping Control for a Mobile Robot With Unscented Kalman Filter. - Zhe Xu; Simon X. Yang; S. Andrew Gadsden (IEEE Access, 2020)

A Study of the COVID-19 Impacts on the Canadian Population. - John Yawney; Stephen Andrew Gadsden (IEEE Access, 2020)

A Comprehensive Survey of Control Strategies for Autonomous Quadrotors. - Jinho Kim; S. Andrew Gadsden; Stephen A. Wilkerson (CoRR, 2020)

Adaptive Control Strategies based on the Unscented Kalman Filter and Interacting Multiple Models. - Elyse Hill; S. Andrew Gadsden; Mohammad Biglarbegian (ACC, 2021)

Backstepping and Sliding Mode Control for AUVs Aided with Bioinspired Neurodynamics. - Zhe Xu; Simon X. Yang; S. Andrew Gadsden; Junfei Li; Danjie Zhu (ICRA, 2021)

Wild Geese Algorithm: A novel algorithm for large scale optimization based on the natural life and death of wild geese. - Mojtaba Ghasemi; Abolfazl Rahimnejad; Rasul Hemmati; Ebrahim Akbari; S. Andrew Gadsden (Array, 2021)

The smooth variable structure filter: A comprehensive review. - Mohammad Avzayesh; Mamoun F. Abdel-Hafez; Mohammad Al-Shabi; S. Andrew Gadsden (Digit. Signal Process., 2021)

IoT-Based Smart Home Device Monitor Using Private Blockchain Technology and Localization. - Marc Jayson Baucas; Stephen Andrew Gadsden; Petros Spachos (IEEE Netw. Lett., 2021)

Permutationally Invariant Deep Learning Approach to Molecular Fingerprinting with Application to Compound Mixtures. - Andrei Buin; Hung Yi Chiang; S. Andrew Gadsden; Faraz A. Alderson (J. Chem. Inf. Model., 2021)

Cooperative Sensor-based Selective Graph Exploration Strategy for a Team of Quadrotors. - Jinho Kim; Charles D. Eggleton; Stephen A. Wilkerson; S. Andrew Gadsden (J. Intell. Robotic Syst., 2021)

An Adaptive Formulation of the Sliding Innovation Filter. - Andrew Sanghyun Lee; S. Andrew Gadsden; Mohammad Al-Shabi (IEEE Signal Process. Lett., 2021)

Lattice Kalman Filters. - Abolfazl Rahimnejad; S. Andrew Gadsden; Mohammad Al-Shabi (IEEE Signal Process. Lett., 2021)

Explicit Nonlinear MPC for Fault Tolerance Using Interacting Multiple Models. - Elyse Hill; S. Andrew Gadsden; Mohammad Biglarbegian (IEEE Trans. Aerosp. Electron. Syst., 2021)

Influence of Opening Up Daycare and Day Camps on Resurgence Potential of COVID-19 Pandemic: Assessing Infectivity Potential From Youth in Ontario, Canada. - Brett Snider; Paige Phillips; Edward A. McBean; S. Andrew Gadsden; John Yawney (IEEE Trans. Comput. Soc. Syst., 2021)

A Novel Multiple-Model Adaptive Kalman Filter for an Unknown Measurement Loss Probability. - Wonkeun Youn; Nak Yong Ko; Stephen Andrew Gadsden; Hyun Myung (IEEE Trans. Instrum. Meas., 2021)

A Shrinking Horizon Model Predictive Controller for Daily Scheduling of Home Energy Management Systems. - Ali Esmaeel Nezhad; Abolfazl Rahimnejad; Pedro H. J. Nardelli; Stephen Andrew Gadsden; Subham Sahoo; Farideh Ghanavati (IEEE Access, 2022)

A Hybrid Tracking Control Strategy for an Unmanned Underwater Vehicle Aided with Bioinspired Neural Dynamics. - Zhe Xu; Tao Yan 002; Simon X. Yang; S. Andrew Gadsden (CoRR, 2022)

Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances. - Waleed Hilal; S. Andrew Gadsden; John Yawney (Expert Syst. Appl., 2022)

Use of AI to assess COVID-19 variant impacts on hospitalization, ICU, and death. - Waleed Hilal; Michael G. Chislett; Brett Snider; Edward A. McBean; John Yawney; S. Andrew Gadsden (Frontiers Artif. Intell., 2022)

Formulation of the Alpha Sliding Innovation Filter: A Robust Linear Estimation Strategy. - Mohammad AlShabi 001; Stephen Andrew Gadsden (Sensors, 2022)

Application of Coulomb's and Franklin's laws algorithm to solve large-scale optimal reactive power dispatch problems. - Mojtaba Ghasemi; Ebrahim Akbari; Iraj Faraji Davoudkhani; Abolfazl Rahimnejad; Mohammad Bagher Asadpoor; Stephen Andrew Gadsden (Soft Comput., 2022)

IIoDT: Industrial Internet of Digital Twins for Hierarchical Asset Management in Manufacturing. - Brett Sicard; Quade Butler; Patrick Korsieb; Yuandi Wu; Youssef Ziada; S. Andrew Gadsden (AIBThings, 2023)

Design Considerations for Building an IoT Enabled Digital Twin Machine Tool Sub-System. - Brett Sicard; Quade Butler; Patrick Korsieb; Yuandi Wu; Youssef Ziada; S. Andrew Gadsden (AIBThings, 2023)

Experimental Setups for Linear Feed Drive Predictive Maintenance: A Review. - Brett Sicard; Quade Butler; Youssef Ziada; S. Andrew Gadsden (ICPHM, 2023)

De-novo Chemical Reaction Generation by Means of Temporarily Convolutional Neural Networks. - Andrei Buin; Hung Yi Chiang; S. Andrew Gadsden; Faraz A. Alderson (CoRR, 2023)

Estimation Strategies for the Condition Monitoring of a Battery Systemin a Hybrid Electric Vehicle. - Stephen Andrew Gadsden; Mohammad Al-Shabi; Saeid Reza Habibi (CoRR, 2023)

A new metaphor-less simple algorithm based on Rao algorithms: a Fully Informed Search Algorithm (FISA). - Mojtaba Ghasemi; Abolfazl Rahimnejad; Ebrahim Akbari; Ravipudi Venkata Rao; Pavel Trojovský; Eva Trojovská; Stephen Andrew Gadsden (PeerJ Comput. Sci., 2023)

An improved hybrid whale optimization algorithm for global optimization and engineering design problems. - Abolfazl Rahimnejad; Ebrahim Akbari; Seyedali Mirjalili; Stephen Andrew Gadsden; Pavel Trojovský; Eva Trojovská (PeerJ Comput. Sci., 2023)

Dynamic Harmonic Estimation Using a Novel Robust Filtering Strategy: Iterated Sliding Innovation Cubature Filter. - Javad Enayati; Abolfazl Rahimnejad; Luigi Vanfretti; Stephen Andrew Gadsden; Mohammad Al-Shabi (IEEE Trans. Instrum. Meas., 2023)

Machine learning algorithms in microbial classification: a comparative analysis. - Yuandi Wu; S. Andrew Gadsden (Frontiers Artif. Intell., 2023)

Intelligent estimation: A review of theory, applications, and recent advances. - Naseem Alsadi; S. Andrew Gadsden; John Yawney (Digit. Signal Process., 2023)

Smart agriculture: Development of a skid-steer autonomous robot with advanced model predictive controllers. - Cesar Wen Zhu; Elyse Hill; Mohammad Biglarbegian; S. Andrew Gadsden; John A. Cline (Robotics Auton. Syst., 2023)

Cognitive Dynamic Systems: A Review of Theory, Applications, and Recent Advances. - Waleed Hilal; S. Andrew Gadsden; John Yawney (Proc. IEEE, 2023)

Condition Monitoring using Machine Learning: A Review of Theory, Applications, and Recent Advances. - Onur Surucu; Stephen Andrew Gadsden; John Yawney (Expert Syst. Appl., 2023)

Hybrid Modeling for Condition Monitoring in Digital Twin Systems. - Brett Sicard; S. Andrew Gadsden (AIBThings, 2024)

Formation Control Design for Remote Field Monitoring with IoT-enabled Mobile Robots. - Marc Jayson Baucas; Zhe Xu; Petros Spachos; S. Andrew Gadsden (WF-IoT, 2024)

Strengthening Lattice Kalman Filters: Introducing Strong Tracking Lattice Filtering for Enhanced Robustness. - Abolfazl Rahimnejad; Luigi Vanfretti; Stephen Andrew Gadsden; Mohammad Al-Shabi (IEEE Access, 2024)

A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection. - Yuandi Wu; Brett Sicard; Stephen Andrew Gadsden (CoRR, 2024)

Smart Grids: A Comprehensive Survey of Challenges, Industry Applications, and Future Trends. - Jadyn Powell; Alex McCafferty-Leroux; Waleed Hilal; Stephen Andrew Gadsden (CoRR, 2024)

Convolutional variational autoencoders for secure lossy image compression in remote sensing. - Alessandro Giuliano; S. Andrew Gadsden; Waleed Hilal; John Yawney (CoRR, 2024)

Integration of blockchain in smart systems: problems and opportunities for real-time sensor data storage. - Naseem Alsadi; Syed Zaidi; Mankaran Rooprai; Stephen A. Gadsden; John Yawney (CoRR, 2024)

Physics-informed machine learning: A comprehensive review on applications in anomaly detection and condition monitoring. - Yuandi Wu; Brett Sicard; Stephen Andrew Gadsden (Expert Syst. Appl., 2024)

Solution of optimal reactive power dispatch by Lévy-flight phasor particle swarm optimization. - Milad Gil; Ebrahim Akbari; Abolfazl Rahimnejad; Mojtaba Ghasemi; S. Andrew Gadsden (Intell. Syst. Appl., 2024)

Interacting Multiple Model Estimators for Fault Detection in a Magnetorheological Damper. - Andrew Sanghyun Lee; Yuandi Wu; Stephen Andrew Gadsden; Mohammad AlShabi 001 (Sensors, 2024)

A CNN-based strategy to automate contour detection of the hip and proximal femur using DXA hip images from longitudinal databases (CLSA and CaMos). - Ali Ammar; Naseem Alsadi; Jonathan D. Adachi; Stephen A. Gadsden; Cheryl E. Quenneville (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2024)

Distributed Leader Follower Formation Control of Mobile Robots Based on Bioinspired Neural Dynamics and Adaptive Sliding Innovation Filter. - Zhe Xu; Tao Yan 002; Simon X. Yang; S. Andrew Gadsden (IEEE Trans. Ind. Informatics, 2024)

A Monte Carlo-Based Iterative Extended Kalman Filter for Bearings-Only Tracking of Sea Targets. - Sahab Edrisi; Javad Enayati; Abolfazl Rahimnejad; Stephen Andrew Gadsden (Sensors, 2024)

Object Detection and Tracking with YOLO and the Sliding Innovation Filter. - Alexander Moksyakov; Yuandi Wu; Stephen Andrew Gadsden; John Yawney; Mohammad Al-Shabi (Sensors, 2024)

Distributed Neurodynamics-Based Backstepping Optimal Control for Robust Constrained Consensus of Underactuated Underwater Vehicles Fleet. - Tao Yan 002; Zhe Xu; Simon X. Yang; S. Andrew Gadsden (IEEE Trans. Cybern., 2024)

Friction Modeling and Monitoring for Machine Tool Health Management. - Brett Sicard; Yuandi Wu; Quade Butler; Stephen Andrew Gadsden (ICPHM, 2025)

Robust observer and neurodynamics based distributed formation control of multiple mobile robots. - Zhe Xu; Tao Yan 002; Simon X. Yang; S. Andrew Gadsden; Mohammad Biglarbegian (Neurocomputing, 2025)

Smart systems: A review of theory, applications, and recent advances. - Naseem Alsadi; Waleed Hilal; Alex McCafferty-Leroux; Stephen A. Gadsden; John Yawney (Internet Things, 2025)

Optimizing Satellite Image Analysis: Leveraging Variational Autoencoders Latent Representations for Direct Integration. - Alessandro Giuliano; S. Andrew Gadsden; John Yawney (IEEE Trans. Geosci. Remote. Sens., 2025)

Distributed Robust Learning Based Formation Control of Mobile Robots Based on Bioinspired Neural Dynamics. - Zhe Xu; Tao Yan 002; Simon X. Yang; S. Andrew Gadsden; Mohammad Biglarbegian (IEEE Trans. Intell. Veh., 2025)