Jennie Si
According to our database1,
Jennie Si
authored at least 87 papers
between 1993 and 2021.
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Bibliography
2021
Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-critic Reinforcement Learning.
CoRR, 2021
Reinforcement Learning Enabled Automatic Impedance Control of a Robotic Knee Prosthesis to Mimic the Intact Knee Motion in a Co-Adapting Environment.
CoRR, 2021
Toward Reliable Designs of Data-Driven Reinforcement Learning Tracking Control for Euler-Lagrange Systems.
CoRR, 2021
2020
Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis.
IEEE Trans. Cybern., 2020
A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton.
CoRR, 2020
Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration.
CoRR, 2020
Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: from Time-Driven to Event-Driven.
CoRR, 2020
Towards Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control.
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
Offline Policy Iteration Based Reinforcement Learning Controller for Online Robotic Knee Prosthesis Parameter Tuning.
Proceedings of the International Conference on Robotics and Automation, 2019
2018
Policy Approximation in Policy Iteration Approximate Dynamic Programming for Discrete-Time Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2018
Deep Reinforcement Leaming for Short-term Voltage Control by Dynamic Load Shedding in China Southem Power Grid.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Robotic Knee Prosthesis Real-Time Control Using Reinforcement Learning with Human in the Loop.
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018
2017
A New Powered Lower Limb Prosthesis Control Framework Based on Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2017
Consensus Control of Nonlinear Multiagent Systems With Time-Varying State Constraints.
IEEE Trans. Cybern., 2017
Comparing parallel and sequential control parameter tuning for a powered knee prosthesis.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
Online Supplementary ADP Learning Controller Design and Application to Power System Frequency Control With Large-Scale Wind Energy Integration.
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE Trans. Cybern., 2016
Adaptive control of powered transfemoral prostheses based on adaptive dynamic programming.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Proceedings of the Springer Handbook of Computational Intelligence, 2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Approximate dynamic programming based supplementary reactive power control for DFIG wind farm to enhance power system stability.
Neurocomputing, 2015
Error bound analysis of policy iteration based approximate dynamic programming for deterministic discrete-time nonlinear systems.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Longitudinal control of hypersonic vehicles based on direct heuristic dynamic programming using ANFIS.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Reactive power control of DFIG wind farm using online supplementary learning controller based on approximate dynamic programming.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013
Stability of direct heuristic dynamic programming for nonlinear tracking control using PID neural network.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Incorporating approximate dynamic programming-based parameter tuning into PD-type virtual inertia control of DFIGs.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013
2012
Neural Networks, 2012
Proceedings of the Advances in Computational Intelligence, 2012
A neural correlate to learning decision and control using functional synaptic efficacy.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
Neural Comput., 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Belief function model for reliable optimal set estimation of transition matrices in discounted infinite-horizon Markov decision processes.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2010
Approximate robust policy iteration using multilayer perceptron neural networks for discounted infinite-horizon Markov decision processes with uncertain correlated transition matrices.
IEEE Trans. Neural Networks, 2010
Evidence of a mechanism of neural adaptation in the closed loop control of directions.
Int. J. Intell. Comput. Cybern., 2010
IEEE Comput. Intell. Mag., 2010
High performance spike detection and sorting using neural waveform phase information and SOM clustering.
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Direct Heuristic Dynamic Programming for Nonlinear Tracking Control With Filtered Tracking Error.
IEEE Trans. Syst. Man Cybern. Part B, 2009
Performance Evaluation of Direct Heuristic Dynamic Programming using Control-Theoretic Measures.
J. Intell. Robotic Syst., 2009
IEEE Comput. Intell. Mag., 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
2008
Direct Heuristic Dynamic Programming for Damping Oscillations in a Large Power System.
IEEE Trans. Syst. Man Cybern. Part B, 2008
IEEE Trans. Image Process., 2008
Robust Optimality for Discounted Infinite-Horizon Markov Decision Processes With Uncertain Transition Matrices.
IEEE Trans. Autom. Control., 2008
Neural Networks, 2008
A performance gradient perspective on gradient-based policy iteration and a modified value iteration.
Int. J. Intell. Comput. Cybern., 2008
2007 International Joint Conference on Neural Networks (IJCNN 2007) [Conference Reports].
IEEE Comput. Intell. Mag., 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
2007
Performance Analysis of Direct Heuristic Dynamic Programming using Control-Theoretic Measures.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Convergence of Direct Heuristic Dynamic Programming in Power System Stability Control.
Proceedings of the International Joint Conference on Neural Networks, 2007
Approximate Robust Policy Iteration for Discounted Infinite-Horizon Markov Decision Processes with Uncertain Stationary Parametric Transition Matrices.
Proceedings of the International Joint Conference on Neural Networks, 2007
2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2005
IEEE Trans. Image Process., 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2003
IEEE Trans. Neural Networks, 2003
Proceedings of the 2003 International Conference on Image Processing, 2003
2002
Proceedings of the IEEE International Conference on Acoustics, 2002
2001
IEEE Trans. Neural Networks, 2001
Global exponential stability of neural networks with globally Lipschitz continuous activations and its application to linear variational inequality problem.
IEEE Trans. Neural Networks, 2001
2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1999
Advancing Gradient Base Neural Network Training.
Neural Parallel Sci. Comput., 1999
1998
Advanced neural-network training algorithm with reduced complexity based on Jacobian deficiency.
IEEE Trans. Neural Networks, 1998
IEEE Trans. Neural Networks, 1998
A Systematic and Effective Supervised Learning Mechanism Based on Jacobian Rank Deficiency.
Neural Comput., 1998
Neural Comput., 1998
1997
Self-Organization of Firing Activities in Monkey's Motor Cortex: Trajectory Computation from Spike Signals.
Neural Comput., 1997
Blind equalization with a linear feedforward neural network.
Proceedings of the ESANN 1997, 1997
1996
Neural Parallel Sci. Comput., 1996
Proceedings of the Artificial Neural Networks, 1996
Approximation Errors of State and Output Trajectories Using Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks, 1996
1995
Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons.
IEEE Trans. Neural Networks, 1995
A shift invariant pattern recognition mechanism and its implementation by associative memory.
Neural Parallel Sci. Comput., 1995
1994
The best approximation to C<sup>2</sup> functions and its error bounds using regular-center Gaussian networks.
IEEE Trans. Neural Networks, 1994
1993
The best approximation to C<sup>2</sup> functions and its error bounds using Gaussian hidden units.
Proceedings of the 1993 IEEE International Symposium on Circuits and Systems, 1993
A near optimal algorithm for image compression using Gabor expansion.
Proceedings of the 1993 IEEE International Symposium on Circuits and Systems, 1993