Jennie Si

According to our database1, Jennie Si authored at least 87 papers between 1993 and 2021.

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

Timeline

Legend:

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PhD thesis 
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On csauthors.net:

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

Knowledge-Guided Reinforcement Learning Control for Robotic Lower Limb Prosthesis.
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

Robotic Knee Parameter Tuning Using Approximate Policy Iteration.
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
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond.
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

Adaptive Neural Control of a Class of Output-Constrained Nonaffine Systems.
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
Computational Neuroscience - Biophysical Modeling of Neural Systems.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

FREL: A Stable Feature Selection Algorithm.
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

Policy iteration approximate dynamic programming using Volterra series based actor.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Online adaptation of controller parameters based on approximate dynamic programming.
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
Stable L2-Regularized Ensemble Feature Weighting.
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

An integrated design for intensified direct heuristic dynamic programming.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012
A boundedness result for the direct heuristic dynamic programming.
Neural Networks, 2012

Uncovering the Neural Code Using a Rat Model during a Learning Control Task.
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
A Multiscale Correlation of Wavelet Coefficients Approach to Spike Detection.
Neural Comput., 2011

Direct heuristic dynamic programming with augmented states.
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 CIS Summer School Activities and Future Plans [Society Briefs].
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

Introduction to New IEEE CIS Educational Activities [Society briefs].
IEEE Comput. Intell. Mag., 2009

An advanced spike detection and sorting system.
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

Orthogonal Rotation-Invariant Moments for Digital Image Processing.
IEEE Trans. Image Process., 2008

Robust Optimality for Discounted Infinite-Horizon Markov Decision Processes With Uncertain Transition Matrices.
IEEE Trans. Autom. Control., 2008

Special Issue on Advances in Neural Networks Research: IJCNN'07.
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

Interval least-squares filtering with applications to robust video target tracking.
Proceedings of the IEEE International Conference on Acoustics, 2008

Robust target detection and tracking in outdoor infrared video.
Proceedings of the IEEE International Conference on Acoustics, 2008

A nonlinear adaptive regression process for noise corrupt images.
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

Adaptation in Neural Activity for Directional Control.
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
Hierarchical Region-Based Image Registration in Scale Space.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Bidirectional labeling and registration scheme for grayscale image segmentation.
IEEE Trans. Image Process., 2005

Migrating Orthogonal Rotation-Invariant Moments from Continuous to Discrete Space.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2003
Helicopter trimming and tracking control using direct neural dynamic programming.
IEEE Trans. Neural Networks, 2003

Bi-directional gradient labeling and registration for gray-scale image segmentation.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Knowledge-based hierarchical region-of-interest detection.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Online learning control by association and reinforcement.
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
Dynamic topology representing networks.
Neural Networks, 2000

On-Line Learning Control by Association and Reinforcement.
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

Subset-based training and pruning of sigmoid neural networks.
Neural Networks, 1999

1998
Advanced neural-network training algorithm with reduced complexity based on Jacobian deficiency.
IEEE Trans. Neural Networks, 1998

Neural network-based control design: an LMI approach.
IEEE Trans. Neural Networks, 1998

A Systematic and Effective Supervised Learning Mechanism Based on Jacobian Rank Deficiency.
Neural Comput., 1998

Weight Value Convergence of the SOM Algorithm for Discrete Input.
Neural Comput., 1998

Multilevel neurons.
Proceedings of the Algorithms and Architectures., 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
Best approximation results using regular-center Gaussian networks.
Neural Parallel Sci. Comput., 1996

Improving Neural Network Training Based on Jacobian Rank Deficiency.
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


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