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Tongjia Zheng
Tongjia Zheng
Electrical Engineering, University of Notre Dame
Verified email at nd.edu - Homepage
Title
Cited by
Cited by
Year
Extracting cardiac dynamics within ECG signal for human identification and cardiovascular diseases classification
M Deng, C Wang, M Tang, T Zheng
Neural Networks 100, 70-83, 2018
652018
Relationship Between Persistent Excitation Levels and RBF Network Structures, With Application to Performance Analysis of Deterministic Learning
T Zheng, C Wang
IEEE Transactions on Cybernetics 47 (10), 3380-3392, 2017
262017
Transporting Robotic Swarms via Mean-Field Feedback Control
T Zheng, Q Han, H Lin
IEEE Transactions on Automatic Control, 2021
18*2021
Individual identification using a gait dynamics graph
M Deng, C Wang, T Zheng
Pattern Recognition 83, 287-298, 2018
142018
Pde-based dynamic density estimation for large-scale agent systems
T Zheng, Q Han, H Lin
IEEE Control Systems Letters 5 (2), 541-546, 2020
122020
Complex pattern generation for swarm robotic systems using spatial-temporal logic and density feedback control
T Zheng, Z Liu, H Lin
2020 American Control Conference (ACC), 5301-5306, 2020
82020
Distributed Mean-Field Density Estimation for Large-Scale Systems
T Zheng, Q Han, H Lin
IEEE Transactions on Automatic Control, 2021
62021
Recognizing knee pathologies by using gait dynamics via kernel principal component analysis and deterministic learning theory
M Deng, X Feng, W Zeng, J Cao, Y Zhang, T Zheng
Journal of Ambient Intelligence and Humanized Computing, 1-9, 2018
52018
Distributed density filtering for large-scale systems using mean-filed models
T Zheng, H Lin
2021 American Control Conference (ACC), 334-339, 2021
32021
PDE-based Dynamic Control and Estimation of Soft Robotic Arms
T Zheng, H Lin
2022 IEEE 61st Conference on Decision and Control (CDC), 2702-2707, 2022
22022
Backstepping Mean-Field Density Control for Large-Scale Heterogeneous Nonlinear Stochastic Systems
T Zheng, Q Han, H Lin
2022 American Control Conference (ACC), 4832-4837, 2022
22022
Multi-Robot-Assisted Human Crowd Evacuation using Navigation Velocity Fields
T Zheng, Z Yuan, M Nayyar, AR Wagner, M Zhu, H Lin
2022 IEEE 61st Conference on Decision and Control (CDC), 2061-2066, 2022
12022
Task Space Tracking of Soft Manipulators: Inner-Outer Loop Control Based on Cosserat-Rod Models
T Zheng, Q Han, H Lin
arXiv preprint arXiv:2210.00976, 2022
12022
Field estimation using robotic swarms through bayesian regression and mean-field feedback
T Zheng, H Lin
2021 American Control Conference (ACC), 1607-1612, 2021
12021
Neural network-based adaptive tracking control of mobile robots in the presence of modelling error and disturbances
T Zheng, A Yang, M Wang, M Huang, B Rao
2015 34th Chinese Control Conference (CCC), 3173-3178, 2015
12015
Full State Estimation of Soft Robots From Tip Velocities: A Cosserat-Theoretic Boundary Observer
T Zheng, Q Han, H Lin
arXiv preprint arXiv:2303.06130, 2023
2023
Multi-Robot-Guided Crowd Evacuation: Two-Scale Modeling and Control Based on Mean-Field Hydrodynamic Models
T Zheng, Z Yuan, M Nayyar, AR Wagner, M Zhu, H Lin
arXiv preprint arXiv:2302.14752, 2023
2023
Feedback Interconnected Mean-Field Density Estimation and Control
T Zheng, Q Han, H Lin
2022 American Control Conference (ACC), 3445-3450, 2022
2022
Relationship between levels of persistent excitation, architectures of neural networks and deterministic learning performance
T Zheng, C Wang
2017 36th Chinese Control Conference (CCC), 2088-2093, 2017
2017
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Articles 1–19