S. Andrew Gadsden

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 41

Top Topics

Control Strategies

Neural Dynamics

Recent Advances

Top Venues

Signal Process.

J. Robotics Netw. Artif. Life

Publications

Milad Gil, Ebrahim Akbari, Abolfazl Rahimnejad, Mojtaba Ghasemi, S. Andrew Gadsden
Solution of optimal reactive power dispatch by Lévy-flight phasor particle swarm optimization. Intell. Syst. Appl. 23 (2024)
Alessandro Giuliano, S. Andrew Gadsden, Waleed Hilal, John Yawney
Convolutional variational autoencoders for secure lossy image compression in remote sensing. CoRR (2024)
Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden, Mohammad Biglarbegian
Distributed Robust Learning based Formation Control of Mobile Robots based on Bioinspired Neural Dynamics. CoRR (2024)
Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden
Distributed Leader Follower Formation Control of Mobile Robots Based on Bioinspired Neural Dynamics and Adaptive Sliding Innovation Filter. IEEE Trans. Ind. Informatics 20 (2) (2024)
Tao Yan, Zhe Xu, Simon X. Yang, S. Andrew Gadsden
Distributed Neurodynamics-Based Backstepping Optimal Control for Robust Constrained Consensus of Underactuated Underwater Vehicles Fleet. IEEE Trans. Cybern. 54 (8) (2024)
Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden
Distributed Leader Follower Formation Control of Mobile Robots based on Bioinspired Neural Dynamics and Adaptive Sliding Innovation Filter. CoRR (2023)
Naseem Alsadi, S. Andrew Gadsden, John Yawney
Intelligent estimation: A review of theory, applications, and recent advances. Digit. Signal Process. 135 (2023)
Brett Sicard, Quade Butler, Youssef Ziada, S. Andrew Gadsden
Experimental Setups for Linear Feed Drive Predictive Maintenance: A Review. ICPHM (2023)
Brett Sicard, Quade Butler, Patrick Korsieb, Yuandi Wu, Youssef Ziada, S. Andrew Gadsden
IIoDT: Industrial Internet of Digital Twins for Hierarchical Asset Management in Manufacturing. AIBThings (2023)
Waleed Hilal, S. Andrew Gadsden, John Yawney
Cognitive Dynamic Systems: A Review of Theory, Applications, and Recent Advances. Proc. IEEE 111 (6) (2023)
Andrei Buin, Hung Yi Chiang, S. Andrew Gadsden, Faraz A. Alderson
De-novo Chemical Reaction Generation by Means of Temporarily Convolutional Neural Networks. CoRR (2023)
Tao Yan, Zhe Xu, Simon X. Yang, S. Andrew Gadsden
Distributed Neurodynamics-Based Backstepping Optimal Control for Robust Constrained Consensus of Underactuated Underwater Vehicles Fleet. CoRR (2023)
Yuandi Wu, S. Andrew Gadsden
Machine learning algorithms in microbial classification: a comparative analysis. Frontiers Artif. Intell. 6 (2023)
Brett Sicard, Quade Butler, Patrick Korsieb, Yuandi Wu, Youssef Ziada, S. Andrew Gadsden
Design Considerations for Building an IoT Enabled Digital Twin Machine Tool Sub-System. AIBThings (2023)
Cesar Wen Zhu, Elyse Hill, Mohammad Biglarbegian, S. Andrew Gadsden, John A. Cline
Smart agriculture: Development of a skid-steer autonomous robot with advanced model predictive controllers. Robotics Auton. Syst. 162 (2023)
Waleed Hilal, Michael G. Chislett, Brett Snider, Edward A. McBean, John Yawney, S. Andrew Gadsden
Use of AI to assess COVID-19 variant impacts on hospitalization, ICU, and death. Frontiers Artif. Intell. 5 (2022)
Waleed Hilal, S. Andrew Gadsden, John Yawney
Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances. Expert Syst. Appl. 193 (2022)
Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden
A Hybrid Tracking Control Strategy for an Unmanned Underwater Vehicle Aided with Bioinspired Neural Dynamics. CoRR (2022)
Jinho Kim, Charles D. Eggleton, Stephen A. Wilkerson, S. Andrew Gadsden
Cooperative Sensor-based Selective Graph Exploration Strategy for a Team of Quadrotors. J. Intell. Robotic Syst. 103 (2) (2021)
Andrew S. Lee, S. Andrew Gadsden, Mohammad Al-Shabi
An Adaptive Formulation of the Sliding Innovation Filter. IEEE Signal Process. Lett. 28 (2021)
Mohammad Avzayesh, Mamoun F. Abdel-Hafez, Mohammad Al-Shabi, S. Andrew Gadsden
The smooth variable structure filter: A comprehensive review. Digit. Signal Process. 110 (2021)
Elyse Hill, S. Andrew Gadsden, Mohammad Biglarbegian
Adaptive Control Strategies based on the Unscented Kalman Filter and Interacting Multiple Models. ACC (2021)
Mojtaba Ghasemi, Abolfazl Rahimnejad, Rasul Hemmati, Ebrahim Akbari, S. Andrew Gadsden
Wild Geese Algorithm: A novel algorithm for large scale optimization based on the natural life and death of wild geese. Array 11 (2021)
Elyse Hill, S. Andrew Gadsden, Mohammad Biglarbegian
Explicit Nonlinear MPC for Fault Tolerance Using Interacting Multiple Models. IEEE Trans. Aerosp. Electron. Syst. 57 (5) (2021)
Zhe Xu, Simon X. Yang, S. Andrew Gadsden, Junfei Li, Danjie Zhu
Backstepping and Sliding Mode Control for AUVs Aided with Bioinspired Neurodynamics. ICRA (2021)
Brett Snider, Paige Phillips, Edward A. McBean, S. Andrew Gadsden, John Yawney
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. 8 (4) (2021)
Abolfazl Rahimnejad, S. Andrew Gadsden, Mohammad Al-Shabi
Lattice Kalman Filters. IEEE Signal Process. Lett. 28 (2021)
Andrei Buin, Hung Yi Chiang, S. Andrew Gadsden, Faraz A. Alderson
Permutationally Invariant Deep Learning Approach to Molecular Fingerprinting with Application to Compound Mixtures. J. Chem. Inf. Model. 61 (2) (2021)
Zhe Xu, Simon X. Yang, S. Andrew Gadsden
Enhanced Bioinspired Backstepping Control for a Mobile Robot With Unscented Kalman Filter. IEEE Access 8 (2020)
S. Andrew Gadsden, Mohammad Al-Shabi
The Sliding Innovation Filter. IEEE Access 8 (2020)
Jinho Kim, S. Andrew Gadsden, Stephen A. Wilkerson
A Comprehensive Survey of Control Strategies for Autonomous Quadrotors. CoRR (2020)
Ibrahim Al-Omari, Abolfazl Rahimnejad, S. Andrew Gadsden, Medhat Moussa, Hadis Karimipour
Power System Dynamic State Estimation Using Smooth Variable Structure Filter. GlobalSIP (2019)
Hamed H. Afshari, S. Andrew Gadsden, Saeid R. Habibi
A nonlinear second-order filtering strategy for state estimation of uncertain systems. Signal Process. 155 (2019)
Andrew Cataford, S. Andrew Gadsden, Kevin Turpie, Mohammad Biglarbegian
Air-LUSI: Estimation, Filtering, and PID Tracking Simulation. CCECE (2018)
Jake Chittle, S. Andrew Gadsden, Mohammad Biglarbegian
Mobile Robot Motion Tracking Using Descriptor Matching and Sensor Fusion. CCECE (2018)
Jacob Goodman, Jinho Kim, Andrew S. Lee, S. Andrew Gadsden, Mohammad Al-Shabi
A Variable Structure-Based Estimation Strategy Applied to an RRR Robot System. J. Robotics Netw. Artif. Life 4 (2) (2017)
Hamed H. Afshari, S. Andrew Gadsden, Saeid R. Habibi
Gaussian filters for parameter and state estimation: A general review of theory and recent trends. Signal Process. 135 (2017)
Jinho Kim, Kevin Chang, Brian Schwarz, Andrew S. Lee, S. Andrew Gadsden, Mohammad Al-Shabi
Dynamic Model and Motion Control of a Robotic Manipulator. J. Robotics Netw. Artif. Life 4 (2) (2017)
Ryan M. Ahmed, Mohammed A. El Sayed, S. Andrew Gadsden, Jimi Tjong, Saeid R. Habibi
Artificial neural network training utilizing the smooth variable structure filter estimation strategy. Neural Comput. Appl. 27 (3) (2016)
Jin H. Kim, S. Andrew Gadsden, Stephen A. Wilkerson
Adaptive integral sliding mode controller for longitudinal rotation control of a tilt-rotor aircraft. MED (2016)
Majdeddin Kajkouj, Samer Al-Shaer, Khaled S. Hatamleh, Iyad Salameh, Mohammad Al-Shabi, S. Andrew Gadsden, Andrew S. Lee
SURF and image processing techniques applied to an autonomous overhead crane. MED (2016)
Ryan M. Ahmed, Mohammed A. El Sayed, S. Andrew Gadsden, Jimi Tjong, Saeid R. Habibi
Automotive Internal-Combustion-Engine Fault Detection and Classification Using Artificial Neural Network Techniques. IEEE Trans. Veh. Technol. 64 (1) (2015)
S. Andrew Gadsden, Mohammad Al-Shabi, Ienkaran Arasaratnam, Saeid R. Habibi
Combined cubature Kalman and smooth variable structure filtering: A robust nonlinear estimation strategy. Signal Process. 96 (2014)
Mohammad Al-Shabi, S. Andrew Gadsden, Saeid R. Habibi
Kalman filtering strategies utilizing the chattering effects of the smooth variable structure filter. Signal Process. 93 (2) (2013)
Mina Attari, S. Andrew Gadsden, Saeid R. Habibi
Target tracking formulation of the SVSF as a probabilistic data association algorithm. ACC (2013)
Wanlin Zhang, S. Andrew Gadsden, Saeid R. Habibi
Nonlinear estimation of stator winding resistance in a brushless DC motor. ACC (2013)
S. Andrew Gadsden, Yu Song, Saeid R. Habibi
Mathematical modeling and fault detection and diagnosis of an electrohydrostatic actuator. ACC (2012)
S. Andrew Gadsden, Kevin McCullough, Saeid R. Habibi
Fault detection and diagnosis of an electrohydrostatic actuator using a novel interacting multiple model approach. ACC (2011)
Ryan M. Ahmed, Mohammed A. El Sayed, S. Andrew Gadsden, Saeid R. Habibi
Fault detection of an engine using a neural network trained by the smooth variable structure filter. CCA (2011)
S. Andrew Gadsden, Darcy Dunne, Saeid R. Habibi, Thia Kirubarajan
Combined particle and smooth variable structure filtering for nonlinear estimation problems. FUSION (2011)
S. Andrew Gadsden, Mohammed A. El Sayed, Saeid R. Habibi
Derivation of an optimal boundary layer width for the smooth variable structure filter. ACC (2011)
S. Andrew Gadsden, Saeid R. Habibi, Thia Kirubarajan
A novel interacting multiple model method for nonlinear target tracking. FUSION (2010)
S. Andrew Gadsden, Saeid R. Habibi
A new form of the smooth variable structure filter with a covariance derivation. CDC (2010)