S. Andrew Gadsden
Orcid: 0000-0003-3749-0878Affiliations:
- Korea Aerospace Research Institute, Daejeon, South Korea
- University of Guelph, School of Engineering, Canada
- versity of Maryland, Department of Mechanical Engineering, Baltimore, MD, USA (2014 - 2016)
- McMaster University, Hamilton, ON, Canada (PhD 2011)
According to our database1,
S. Andrew Gadsden
authored at least 77 papers
between 2010 and 2025.
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Bibliography
2025
Optimizing Satellite Image Analysis: Leveraging Variational Autoencoders Latent Representations for Direct Integration.
IEEE Trans. Geosci. Remote. Sens., 2025
2024
Distributed Neurodynamics-Based Backstepping Optimal Control for Robust Constrained Consensus of Underactuated Underwater Vehicles Fleet.
IEEE Trans. Cybern., August, 2024
Sensors, April, 2024
A Monte Carlo-Based Iterative Extended Kalman Filter for Bearings-Only Tracking of Sea Targets.
Sensors, April, 2024
Distributed Leader Follower Formation Control of Mobile Robots Based on Bioinspired Neural Dynamics and Adaptive Sliding Innovation Filter.
IEEE Trans. Ind. Informatics, February, 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).
Comput. methods Biomech. Biomed. Eng. Imaging Vis., January, 2024
Interacting Multiple Model Estimators for Fault Detection in a Magnetorheological Damper.
Sensors, 2024
Solution of optimal reactive power dispatch by Lévy-flight phasor particle swarm optimization.
Intell. Syst. Appl., 2024
Physics-informed machine learning: A comprehensive review on applications in anomaly detection and condition monitoring.
Expert Syst. Appl., 2024
Integration of blockchain in smart systems: problems and opportunities for real-time sensor data storage.
CoRR, 2024
Convolutional variational autoencoders for secure lossy image compression in remote sensing.
CoRR, 2024
Distributed Robust Learning based Formation Control of Mobile Robots based on Bioinspired Neural Dynamics.
CoRR, 2024
Smart Grids: A Comprehensive Survey of Challenges, Industry Applications, and Future Trends.
CoRR, 2024
A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection.
CoRR, 2024
Strengthening Lattice Kalman Filters: Introducing Strong Tracking Lattice Filtering for Enhanced Robustness.
IEEE Access, 2024
Proceedings of the 10th IEEE World Forum on Internet of Things, 2024
2023
Condition Monitoring using Machine Learning: A Review of Theory, Applications, and Recent Advances.
Expert Syst. Appl., July, 2023
Proc. IEEE, June, 2023
Smart agriculture: Development of a skid-steer autonomous robot with advanced model predictive controllers.
Robotics Auton. Syst., April, 2023
Digit. Signal Process., April, 2023
Frontiers Artif. Intell., February, 2023
Dynamic Harmonic Estimation Using a Novel Robust Filtering Strategy: Iterated Sliding Innovation Cubature Filter.
IEEE Trans. Instrum. Meas., 2023
An improved hybrid whale optimization algorithm for global optimization and engineering design problems.
PeerJ Comput. Sci., 2023
A new metaphor-less simple algorithm based on Rao algorithms: a Fully Informed Search Algorithm (FISA).
PeerJ Comput. Sci., 2023
Estimation Strategies for the Condition Monitoring of a Battery Systemin a Hybrid Electric Vehicle.
CoRR, 2023
De-novo Chemical Reaction Generation by Means of Temporarily Convolutional Neural Networks.
CoRR, 2023
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023
Design Considerations for Building an IoT Enabled Digital Twin Machine Tool Sub-System.
Proceedings of the IEEE International Conference on Artificial Intelligence, 2023
IIoDT: Industrial Internet of Digital Twins for Hierarchical Asset Management in Manufacturing.
Proceedings of the IEEE International Conference on Artificial Intelligence, 2023
2022
Application of Coulomb's and Franklin's laws algorithm to solve large-scale optimal reactive power dispatch problems.
Soft Comput., December, 2022
Formulation of the Alpha Sliding Innovation Filter: A Robust Linear Estimation Strategy.
Sensors, 2022
Frontiers Artif. Intell., 2022
Expert Syst. Appl., 2022
A Hybrid Tracking Control Strategy for an Unmanned Underwater Vehicle Aided with Bioinspired Neural Dynamics.
CoRR, 2022
A Shrinking Horizon Model Predictive Controller for Daily Scheduling of Home Energy Management Systems.
IEEE Access, 2022
2021
A Novel Multiple-Model Adaptive Kalman Filter for an Unknown Measurement Loss Probability.
IEEE Trans. Instrum. Meas., 2021
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., 2021
IEEE Trans. Aerosp. Electron. Syst., 2021
IEEE Signal Process. Lett., 2021
Cooperative Sensor-based Selective Graph Exploration Strategy for a Team of Quadrotors.
J. Intell. Robotic Syst., 2021
Permutationally Invariant Deep Learning Approach to Molecular Fingerprinting with Application to Compound Mixtures.
J. Chem. Inf. Model., 2021
IoT-Based Smart Home Device Monitor Using Private Blockchain Technology and Localization.
IEEE Netw. Lett., 2021
Digit. Signal Process., 2021
Wild Geese Algorithm: A novel algorithm for large scale optimization based on the natural life and death of wild geese.
Array, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Adaptive Control Strategies based on the Unscented Kalman Filter and Interacting Multiple Models.
Proceedings of the 2021 American Control Conference, 2021
2020
Enhanced Bioinspired Backstepping Control for a Mobile Robot With Unscented Kalman Filter.
IEEE Access, 2020
2019
A nonlinear second-order filtering strategy for state estimation of uncertain systems.
Signal Process., 2019
Int. J. Robotics Autom., 2019
Combined Quaternion-Based Error State Kalman Filtering and Smooth Variable Structure Filtering for Robust Attitude Estimation.
IEEE Access, 2019
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
2018
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018
2017
IEEE Trans. Aerosp. Electron. Syst., 2017
Gaussian filters for parameter and state estimation: A general review of theory and recent trends.
Signal Process., 2017
J. Robotics Netw. Artif. Life, 2017
J. Robotics Netw. Artif. Life, 2017
2016
Artificial neural network training utilizing the smooth variable structure filter estimation strategy.
Neural Comput. Appl., 2016
Adaptive integral sliding mode controller for longitudinal rotation control of a tilt-rotor aircraft.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016
2015
Automotive Internal-Combustion-Engine Fault Detection and Classification Using Artificial Neural Network Techniques.
IEEE Trans. Veh. Technol., 2015
2014
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
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
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
Proceedings of the 13th Conference on Information Fusion, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010