Jennie Si
Orcid: 0000-0002-0374-7404Affiliations:
- Arizona State University, School of Electrical, Computer, and Energy Engineering, Tempe, AZ, USA
According to our database1,
Jennie Si
authored at least 111 papers
between 1993 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., March, 2024
2023
Deep Reinforcement Learning for Load Shedding Against Short-Term Voltage Instability in Large Power Systems.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Hierarchical Optimization for Control of Robotic Knee Prostheses Toward Improved Symmetry of Propulsive Impulse.
IEEE Trans. Biomed. Eng., May, 2023
Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning.
CoRR, 2023
Modulation-Enhanced Excitation for Continuous-Time Reinforcement Learning via Symmetric Kronecker Products.
CoRR, 2023
Continuous-Time Reinforcement Learning: New Design Algorithms with Theoretical Insights and Performance Guarantees.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A Robotic Assistance Personalization Control Approach of Hip Exoskeletons for Gait Symmetry Improvement.
IROS, 2023
2022
Reinforcement-Learning-Based Tracking Control of Waste Water Treatment Process Under Realistic System Conditions and Control Performance Requirements.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Toward Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control.
IEEE Trans. Robotics, 2022
Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: From Time-Driven to Event-Driven.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Reinforcement Learning Control of Robotic Knee With Human-in-the-Loop by Flexible Policy Iteration.
IEEE Trans. Neural Networks Learn. Syst., 2022
Imposing Healthy Hip Motion Pattern and Range by Exoskeleton Control for Individualized Assistance.
IEEE Robotics Autom. Lett., 2022
Reinforcement Learning Impedance Control of a Robotic Prosthesis to Coordinate With Human Intact Knee Motion.
IEEE Robotics Autom. Lett., 2022
Inferring Human-Robot Performance Objectives During Locomotion Using Inverse Reinforcement Learning and Inverse Optimal Control.
IEEE Robotics Autom. Lett., 2022
A New Robotic Knee Impedance Control Parameter Optimization Method Facilitated by Inverse Reinforcement Learning.
IEEE Robotics Autom. Lett., 2022
Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-Critic Reinforcement Learning.
IEEE CAA J. Autom. Sinica, 2022
Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Admittance Control Based Human-in-the-Loop Optimization for Hip Exoskeleton Reduces Human Exertion during Walking.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
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
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis.
IEEE Trans. Cybern., 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
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
IEEE Trans. Image Process., 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
Proceedings of the Intelligent Control, 2004
Proceedings of the Intelligent Control, 2004
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
Proceedings of the 39th IEEE Conference on Decision and Control, 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
IEEE Trans. Autom. Control., 1997
Self-Organization of Firing Activities in Monkey's Motor Cortex: Trajectory Computation from Spike Signals.
Neural Comput., 1997
Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 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