S. Andrew Gadsden

Orcid: 0000-0003-3749-0878

Affiliations:
  • 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 68 papers between 2010 and 2024.

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

Timeline

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Bibliography

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

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

2023
Condition Monitoring using Machine Learning: A Review of Theory, Applications, and Recent Advances.
Expert Syst. Appl., July, 2023

Cognitive Dynamic Systems: A Review of Theory, Applications, and Recent Advances.
Proc. IEEE, June, 2023

Smart agriculture: Development of a skid-steer autonomous robot with advanced model predictive controllers.
Robotics Auton. Syst., April, 2023

Intelligent estimation: A review of theory, applications, and recent advances.
Digit. Signal Process., April, 2023

Machine learning algorithms in microbial classification: a comparative analysis.
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

Distributed Neurodynamics-Based Backstepping Optimal Control for Robust Constrained Consensus of Underactuated Underwater Vehicles Fleet.
CoRR, 2023

Experimental Setups for Linear Feed Drive Predictive Maintenance: A Review.
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

Use of AI to assess COVID-19 variant impacts on hospitalization, ICU, and death.
Frontiers Artif. Intell., 2022

Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances.
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

Explicit Nonlinear MPC for Fault Tolerance Using Interacting Multiple Models.
IEEE Trans. Aerosp. Electron. Syst., 2021

Lattice Kalman Filters.
IEEE Signal Process. Lett., 2021

An Adaptive Formulation of the Sliding Innovation Filter.
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

The smooth variable structure filter: A comprehensive review.
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

Backstepping and Sliding Mode Control for AUVs Aided with Bioinspired Neurodynamics.
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
A Comprehensive Survey of Control Strategies for Autonomous Quadrotors.
CoRR, 2020

A Study of the COVID-19 Impacts on the Canadian Population.
IEEE Access, 2020

Enhanced Bioinspired Backstepping Control for a Mobile Robot With Unscented Kalman Filter.
IEEE Access, 2020

The Sliding Innovation Filter.
IEEE Access, 2020

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

Robust nonlinear control and estimation of a Prrr robot System.
Int. J. Robotics Autom., 2019

Combined Quaternion-Based Error State Kalman Filtering and Smooth Variable Structure Filtering for Robust Attitude Estimation.
IEEE Access, 2019

Power System Dynamic State Estimation Using Smooth Variable Structure Filter.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018
Mobile Robot Motion Tracking Using Descriptor Matching and Sensor Fusion.
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

Air-LUSI: Estimation, Filtering, and PID Tracking Simulation.
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 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

Dynamic Model and Motion Control of a Robotic Manipulator.
J. Robotics Netw. Artif. Life, 2017

A Variable Structure-Based Estimation Strategy Applied to an RRR Robot System.
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

SURF and image processing techniques applied to an autonomous overhead crane.
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
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
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


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