S. Andrew Gadsden

61 papers A* 1C 9Journal 40Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cognitive Internet of Things: A Review of Theory, Applications, and Recent Advances. IEEE Commun. Surv. Tutorials Alessandro Giuliano, Alex McCafferty-Leroux, John Yawney, S. Andrew Gadsden
2026	J	`jnl`	Robust Consensus of Constrained AUVs With Non-Uniform Time-Varying Delays and Disturbances. IEEE Trans. Cybern. Tao Yan, Zhe Xu, Simon X. Yang, S. Andrew Gadsden
2026	J	`jnl`	The sliding sigmoid filter. Digit. Signal Process. Naseem Alsadi, John Yawney, Mohammad Al-Shabi, S. Andrew Gadsden
2025	J	`jnl`	Distributed Robust Learning Based Formation Control of Mobile Robots Based on Bioinspired Neural Dynamics. IEEE Trans. Intell. Veh. Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden, Mohammad Biglarbegian
2025	J	`jnl`	Optimizing Satellite Image Analysis: Leveraging Variational Autoencoders Latent Representations for Direct Integration. IEEE Trans. Geosci. Remote. Sens. Alessandro Giuliano, S. Andrew Gadsden, John Yawney
2025	J	`jnl`	Robust observer and neurodynamics based distributed formation control of multiple mobile robots. Neurocomputing Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden, Mohammad Biglarbegian
2024	J	`jnl`	Convolutional variational autoencoders for secure lossy image compression in remote sensing. CoRR Alessandro Giuliano, S. Andrew Gadsden, Waleed Hilal, John Yawney
2024	J	`jnl`	Distributed Leader Follower Formation Control of Mobile Robots Based on Bioinspired Neural Dynamics and Adaptive Sliding Innovation Filter. IEEE Trans. Ind. Informatics Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden
2024	J	`jnl`	Distributed Neurodynamics-Based Backstepping Optimal Control for Robust Constrained Consensus of Underactuated Underwater Vehicles Fleet. IEEE Trans. Cybern. Tao Yan, Zhe Xu, Simon X. Yang, S. Andrew Gadsden
2024	J	`jnl`	Distributed Robust Learning based Formation Control of Mobile Robots based on Bioinspired Neural Dynamics. CoRR Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden, Mohammad Biglarbegian
2024	—	`conf`	Formation Control Design for Remote Field Monitoring with IoT-enabled Mobile Robots. WF-IoT Marc Jayson Baucas, Zhe Xu, Petros Spachos, S. Andrew Gadsden
2024	—	`conf`	Hybrid Modeling for Condition Monitoring in Digital Twin Systems. AIBThings Brett Sicard, S. Andrew Gadsden
2024	J	`jnl`	Solution of optimal reactive power dispatch by Lévy-flight phasor particle swarm optimization. Intell. Syst. Appl. Milad Gil, Ebrahim Akbari, Abolfazl Rahimnejad, Mojtaba Ghasemi, S. Andrew Gadsden
2023	J	`jnl`	Cognitive Dynamic Systems: A Review of Theory, Applications, and Recent Advances. Proc. IEEE Waleed Hilal, S. Andrew Gadsden, John Yawney
2023	J	`jnl`	De-novo Chemical Reaction Generation by Means of Temporarily Convolutional Neural Networks. CoRR Andrei Buin, Hung Yi Chiang, S. Andrew Gadsden, Faraz A. Alderson
2023	—	`conf`	Design Considerations for Building an IoT Enabled Digital Twin Machine Tool Sub-System. AIBThings Brett Sicard, Quade Butler, Patrick Korsieb, Yuandi Wu, Youssef Ziada, S. Andrew Gadsden
2023	J	`jnl`	Distributed Leader Follower Formation Control of Mobile Robots based on Bioinspired Neural Dynamics and Adaptive Sliding Innovation Filter. CoRR Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden
2023	J	`jnl`	Distributed Neurodynamics-Based Backstepping Optimal Control for Robust Constrained Consensus of Underactuated Underwater Vehicles Fleet. CoRR Tao Yan, Zhe Xu, Simon X. Yang, S. Andrew Gadsden
2023	—	`conf`	Experimental Setups for Linear Feed Drive Predictive Maintenance: A Review. ICPHM Brett Sicard, Quade Butler, Youssef Ziada, S. Andrew Gadsden
2023	—	`conf`	IIoDT: Industrial Internet of Digital Twins for Hierarchical Asset Management in Manufacturing. AIBThings Brett Sicard, Quade Butler, Patrick Korsieb, Yuandi Wu, Youssef Ziada, S. Andrew Gadsden
2023	J	`jnl`	Intelligent estimation: A review of theory, applications, and recent advances. Digit. Signal Process. Naseem Alsadi, S. Andrew Gadsden, John Yawney
2023	J	`jnl`	Machine learning algorithms in microbial classification: a comparative analysis. Frontiers Artif. Intell. Yuandi Wu, S. Andrew Gadsden
2023	J	`jnl`	Smart agriculture: Development of a skid-steer autonomous robot with advanced model predictive controllers. Robotics Auton. Syst. Cesar Wen Zhu, Elyse Hill, Mohammad Biglarbegian, S. Andrew Gadsden, John A. Cline
2022	J	`jnl`	A Hybrid Tracking Control Strategy for an Unmanned Underwater Vehicle Aided with Bioinspired Neural Dynamics. CoRR Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden
2022	J	`jnl`	Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances. Expert Syst. Appl. Waleed Hilal, S. Andrew Gadsden, John Yawney
2022	J	`jnl`	Use of AI to assess COVID-19 variant impacts on hospitalization, ICU, and death. Frontiers Artif. Intell. Waleed Hilal, Michael G. Chislett, Brett Snider, Edward A. McBean, John Yawney, S. Andrew Gadsden
2021	C	`conf`	Adaptive Control Strategies based on the Unscented Kalman Filter and Interacting Multiple Models. ACC Elyse Hill, S. Andrew Gadsden, Mohammad Biglarbegian
2021	J	`jnl`	An Adaptive Formulation of the Sliding Innovation Filter. IEEE Signal Process. Lett. Andrew Sanghyun Lee, S. Andrew Gadsden, Mohammad Al-Shabi
2021	A*	`conf`	Backstepping and Sliding Mode Control for AUVs Aided with Bioinspired Neurodynamics. ICRA Zhe Xu, Simon X. Yang, S. Andrew Gadsden, Junfei Li, Danjie Zhu
2021	J	`jnl`	Cooperative Sensor-based Selective Graph Exploration Strategy for a Team of Quadrotors. J. Intell. Robotic Syst. Jinho Kim, Charles D. Eggleton, Stephen A. Wilkerson, S. Andrew Gadsden
2021	J	`jnl`	Explicit Nonlinear MPC for Fault Tolerance Using Interacting Multiple Models. IEEE Trans. Aerosp. Electron. Syst. Elyse Hill, S. Andrew Gadsden, Mohammad Biglarbegian
2021	J	`jnl`	Influence of Opening Up Daycare and Day Camps on Resurgence Potential of COVID-19 Pandemic: Assessing Infectivity Potential From Youth in Ontario, Canada. IEEE Trans. Comput. Soc. Syst. Brett Snider, Paige Phillips, Edward A. McBean, S. Andrew Gadsden, John Yawney
2021	J	`jnl`	Lattice Kalman Filters. IEEE Signal Process. Lett. Abolfazl Rahimnejad, S. Andrew Gadsden, Mohammad Al-Shabi
2021	J	`jnl`	Permutationally Invariant Deep Learning Approach to Molecular Fingerprinting with Application to Compound Mixtures. J. Chem. Inf. Model. Andrei Buin, Hung Yi Chiang, S. Andrew Gadsden, Faraz A. Alderson
2021	J	`jnl`	The smooth variable structure filter: A comprehensive review. Digit. Signal Process. Mohammad Avzayesh, Mamoun F. Abdel-Hafez, Mohammad Al-Shabi, S. Andrew Gadsden
2021	J	`jnl`	Wild Geese Algorithm: A novel algorithm for large scale optimization based on the natural life and death of wild geese. Array Mojtaba Ghasemi, Abolfazl Rahimnejad, Rasul Hemmati, Ebrahim Akbari, S. Andrew Gadsden
2020	J	`jnl`	A Comprehensive Survey of Control Strategies for Autonomous Quadrotors. CoRR Jinho Kim, S. Andrew Gadsden, Stephen A. Wilkerson
2020	J	`jnl`	Enhanced Bioinspired Backstepping Control for a Mobile Robot With Unscented Kalman Filter. IEEE Access Zhe Xu, Simon X. Yang, S. Andrew Gadsden
2020	J	`jnl`	The Sliding Innovation Filter. IEEE Access S. Andrew Gadsden, Mohammad Al-Shabi
2019	J	`jnl`	A nonlinear second-order filtering strategy for state estimation of uncertain systems. Signal Process. Hamed H. Afshari, S. Andrew Gadsden, Saeid R. Habibi
2019	—	`conf`	Power System Dynamic State Estimation Using Smooth Variable Structure Filter. GlobalSIP Ibrahim Al-Omari, Abolfazl Rahimnejad, S. Andrew Gadsden, Medhat Moussa, Hadis Karimipour
2018	—	`conf`	Air-LUSI: Estimation, Filtering, and PID Tracking Simulation. CCECE Andrew Cataford, S. Andrew Gadsden, Kevin Turpie, Mohammad Biglarbegian
2018	—	`conf`	Mobile Robot Motion Tracking Using Descriptor Matching and Sensor Fusion. CCECE Jake Chittle, S. Andrew Gadsden, Mohammad Biglarbegian
2017	J	`jnl`	A Variable Structure-Based Estimation Strategy Applied to an RRR Robot System. J. Robotics Netw. Artif. Life Jacob Goodman, Jinho Kim, Andrew Sanghyun Lee, S. Andrew Gadsden, Mohammad Al-Shabi
2017	J	`jnl`	Dynamic Model and Motion Control of a Robotic Manipulator. J. Robotics Netw. Artif. Life Jinho Kim, Kevin Chang, Brian Schwarz, Andrew Sanghyun Lee, S. Andrew Gadsden, Mohammad Al-Shabi
2017	J	`jnl`	Gaussian filters for parameter and state estimation: A general review of theory and recent trends. Signal Process. Hamed H. Afshari, S. Andrew Gadsden, Saeid R. Habibi
2016	—	`conf`	Adaptive integral sliding mode controller for longitudinal rotation control of a tilt-rotor aircraft. MED Jin H. Kim, S. Andrew Gadsden, Stephen A. Wilkerson
2016	J	`jnl`	Artificial neural network training utilizing the smooth variable structure filter estimation strategy. Neural Comput. Appl. Ryan M. Ahmed, Mohammed A. El Sayed, S. Andrew Gadsden, Jimi Tjong, Saeid R. Habibi
2016	—	`conf`	SURF and image processing techniques applied to an autonomous overhead crane. MED Majdeddin Kajkouj, Samer Al-Shaer, Khaled S. Hatamleh, Iyad Salameh, Mohammad Al-Shabi, S. Andrew Gadsden, Andrew Sanghyun Lee
2015	J	`jnl`	Automotive Internal-Combustion-Engine Fault Detection and Classification Using Artificial Neural Network Techniques. IEEE Trans. Veh. Technol. Ryan M. Ahmed, Mohammed A. El Sayed, S. Andrew Gadsden, Jimi Tjong, Saeid R. Habibi
2014	J	`jnl`	Combined cubature Kalman and smooth variable structure filtering: A robust nonlinear estimation strategy. Signal Process. S. Andrew Gadsden, Mohammad Al-Shabi, Ienkaran Arasaratnam, Saeid R. Habibi
2013	J	`jnl`	Kalman filtering strategies utilizing the chattering effects of the smooth variable structure filter. Signal Process. Mohammad Al-Shabi, S. Andrew Gadsden, Saeid R. Habibi
2013	C	`conf`	Nonlinear estimation of stator winding resistance in a brushless DC motor. ACC Wanlin Zhang, S. Andrew Gadsden, Saeid R. Habibi
2013	C	`conf`	Target tracking formulation of the SVSF as a probabilistic data association algorithm. ACC Mina Attari, S. Andrew Gadsden, Saeid R. Habibi
2012	C	`conf`	Mathematical modeling and fault detection and diagnosis of an electrohydrostatic actuator. ACC S. Andrew Gadsden, Yu Song, Saeid R. Habibi
2011	C	`conf`	Combined particle and smooth variable structure filtering for nonlinear estimation problems. FUSION S. Andrew Gadsden, Darcy Dunne, Saeid R. Habibi, Thia Kirubarajan
2011	C	`conf`	Derivation of an optimal boundary layer width for the smooth variable structure filter. ACC S. Andrew Gadsden, Mohammed A. El Sayed, Saeid R. Habibi
2011	C	`conf`	Fault detection and diagnosis of an electrohydrostatic actuator using a novel interacting multiple model approach. ACC S. Andrew Gadsden, Kevin McCullough, Saeid R. Habibi
2011	C	`conf`	Fault detection of an engine using a neural network trained by the smooth variable structure filter. CCA Ryan M. Ahmed, Mohammed A. El Sayed, S. Andrew Gadsden, Saeid R. Habibi
2010	—	`conf`	A new form of the smooth variable structure filter with a covariance derivation. CDC S. Andrew Gadsden, Saeid R. Habibi
2010	C	`conf`	A novel interacting multiple model method for nonlinear target tracking. FUSION S. Andrew Gadsden, Saeid R. Habibi, Thia Kirubarajan