J. Si

发表

Improved Temporal Difference Methods with Linear Function Approximation

A. Barto, Warrren B Powell, J. Si, 2004 .

ModelBased Adaptive Critic Designs

A. Barto, Warrren B Powell, J. Si, 2004 .

Online learning control by association and reinforcement.

Jennie Si, Yu-Tsung Wang, J. Si, 2001, IEEE transactions on neural networks.

Handbook of Learning and Approximate Dynamic Programming

Warren B. Powell, Jennie Si, Donald C. Wunsch, 2006, IEEE Transactions on Automatic Control.

Supervised Actor‐Critic Reinforcement Learning

Michael T. Rosenstein, Warren Buckler Powell, Jennie Si, 2012 .

Online learning control by association and reinforcement

Jennie Si, Yu-Tsung Wang, J. Si, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Backpropagation Through Time and Derivative Adaptive CriticsA Common Framework for ComparisonPortions of this chapter were previously published in [4, 7,9, 1214,23].

Jennie Si, Don Wunsch, Andrew G. Barto, 2004 .

Hierarchical Decision Making

Warren B. Powell, Jennie Si, Andrew G. Barto, 2004 .

Robust Dynamic Programming for Discounted Infinite-Horizon Markov Decision Processes with Uncertain Stationary Transition Matrice

J. Si, Baohua Li, 2007, 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning.

ADP: Goals, Opportunities and Principles

Jennie Si, Don Wunsch, Andrew G. Barto, 2004 .

Adaptive Critic Based Neural Network for ControlConstrained Agile Missile

Jennie Si, Don Wunsch, Andrew G. Barto, 2004 .

GUIDANCE IN THE USE OF ADAPTIVE CRITICS FOR CONTROL

Warren B. Powell, Jennie Si, Andrew G. Barto, 2007 .

Helicopter Flight-Control Reconfiguration for Main Rotor Actuator Failures

Jennie Si, Russell Enns, J. Si, 2003 .

Helicopter trimming and tracking control using direct neural dynamic programming

Jennie Si, Russell Enns, J. Si, 2003, IEEE Trans. Neural Networks.

Reinforcement Learning in Large, High‐Dimensional State Spaces

A. Barto, Warrren B Powell, J. Si, 2004 .

Robust Reinforcement Learning for Heating, Ventilation, and Air Conditioning Control of Buildings

Jennie Si, Don Wunsch, Andrew G. Barto, 2004 .

Reinforcement Learning and Its Relationship to Supervised Learning

Warren B. Powell, Jennie Si, Andrew G. Barto, 2004 .

A computationally efficient method for solving the redundant problem in biomechanics.

D W Moran, G T Yamaguchi, J Si, 1995, Journal of biomechanics.

Apache Helicopter Stabilization Using Neural Dynamic Programming

Jennie Si, Russell Enns, J. Si, 2002 .

Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis

Jennie Si, Xiang Gao, Yue Wen, 2020, IEEE Transactions on Cybernetics.

An Error Rate Comparison of Classification Methods with Continuous Explanatory Variables

J. Si, G. Runger, Benjamin J. Nelson, 2003 .

Direct Neural Dynamic Programming Method for Power System Stability Enhancement

Chao Lu, J. Si, Lei Yang, 2005, Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems.

Fault isolation filter design for linear time-invariant systems

J. Si, B. Liu, 1997, IEEE Trans. Autom. Control..

Self-Organizing Maps

Jennie Si, Siming Lin, Daryl R. Kipke, 2002 .

Online Supplementary ADP Learning Controller Design and Application to Power System Frequency Control With Large-Scale Wind Energy Integration

Feng Liu, Shengwei Mei, Jennie Si, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Migrating orthogonal rotation-invariant moments from continuous to discrete space [image processing applications]

Glen P. Abousleman, Jennie Si, Huibao Lin, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Advanced neural-network training algorithm with reduced complexity based on Jacobian deficiency

Jennie Si, Guian Zhou, J. Si, 1998, IEEE Trans. Neural Networks.

Blind equalization with a linear feedforward neural network

Jennie Si, Xi-Ren Cao, Jie Zhu, 1997, ESANN.

Hierarchical region-of-interest detection

Glen P. Abousleman, Jennie Si, Huibao Lin, 2006 .

Adaptive Neural Control of a Class of Output-Constrained Nonaffine Systems

Youxian Sun, Qinmin Yang, Jennie Si, 2016, IEEE Transactions on Cybernetics.

Neural network-based control design: an LMI approach

J. Si, S. Limanond, 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

Correction of projective distortion in long-image-sequence mosaics without prior information

Chenhui Yang, Hongwei Mao, Glen P. Abousleman, 2010, Defense + Commercial Sensing.

Efficient parallel implementation of real-time airborne target tracking system on heterogeneous multicore SoC

Hongwei Mao, Glen P. Abousleman, Jennie Si, 2013, Defense, Security, and Sensing.

A New Powered Lower Limb Prosthesis Control Framework Based on Adaptive Dynamic Programming

Jennie Si, Xiang Gao, He Helen Huang, 2017, IEEE Transactions on Neural Networks and Learning Systems.

A Systematic and Effective Supervised Learning Mechanism Based on Jacobian Rank Deficiency

Jennie Si, Guian Zhou, J. Si, 1998, Neural Computation.

Detecting regions of interest in images

J. Si, 2006 .

The best approximation properties and error bounds of Gaussian networks

J. Si, J. Si, B. Liu, 1993, Proceedings of 32nd IEEE Conference on Decision and Control.

Some stability properties of recurrent neural networks

Ching-Fang Lin, J. Si, J. Si, 1994, Proceedings of 1994 American Control Conference - ACC '94.

Solving ill-posed nonlinear least squares with a subset updating method

J. Si, Guian Zhou, 1999 .

6. The Linear Programming Approach to Approximate Dynamic Programming

Jennie Si, Andy Barto, Warren Powell and, 2012 .

Reconfigurable helicopter flight control methods for main rotor actuator failures

Jennie Si, Russell Enns, J. Si, 2002 .

2007 International Joint Conference on Neural Networks (IJCNN 2007) [Conference Reports]

Jennie Si, J. Si, 2008, IEEE Comput. Intell. Mag..

Neuro-Dynamic Programming Applied to Helicopter Flight Control *

Jennie Si, Russell Enns, J. Si, 2000 .

BPTT and DAC — A Common Framework for Comparison

Jennie Si, Danil V. Prokhorov, Warren Buckler Powell, 2012 .

Introduction to New IEEE CIS Educational Activities [Society briefs]

Jennie Si, J. Si, 2009, IEEE Comput. Intell. Mag..

Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems

J. Si, Junmin Zhong, Ruofan Wu, 2022, 2210.04820.

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

Jennie Si, David G. Brown, Ron Sun, 2008, Neural Networks.

Near‐Optimal Control Via Reinforcement Learning and Hybridization

Jennie Si, Augustine O. Esogbue, Warren Buckler Powell, 2012 .

Region-of-Interest Detection and its Application to Image Segmentation and Compression

J. Si, G.P. Abousleman, Huibao Lin, 2007, 2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems.

A performance gradient perspective on approximate dynamic programming and its application to partially observable Markov decision processes

Jennie Si, Lei Yang, James Dankert, 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.

An analysis of gradient-based policy iteration

J. Si, Lei Yang, J. Dankert, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Approximate Robust Policy Iteration Using Multilayer Perceptron Neural Networks for Discounted Infinite-Horizon Markov Decision Processes With Uncertain Correlated Transition Matrices

Jennie Si, Baohua Li, J. Si, 2010, IEEE Transactions on Neural Networks.

Robust Optimality for Discounted Infinite-Horizon Markov Decision Processes With Uncertain Transition Matrices

Jennie Si, Baohua Li, J. Si, 2008, IEEE Transactions on Automatic Control.

Approximate Robust Policy Iteration for Discounted Infinite-Horizon Markov Decision Processes with Uncertain Stationary Parametric Transition Matrices

Jennie Si, Baohua Li, J. Si, 2007, 2007 International Joint Conference on Neural Networks.

FREL: A Stable Feature Selection Algorithm

Jennie Si, Yun Li, Shasha Huang, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Recurrent neural networks for dynamic system modeling

J. Si, J. Si, L. Pang, 1993, Proceedings of 8th IEEE International Symposium on Intelligent Control.

Unlimited-size mosaicking of airborne image data

Glen P. Abousleman, Jennie Si, Changchun Li, 2007, SPIE Defense + Commercial Sensing.

Dynamic point selection in image mosaicking

Glen P. Abousleman, Jennie Si, Huibao Lin, 2006 .

Direct heuristic dynamic programming based on an improved PID neural network

Shengwei Mei, Feng Liu, Jian Sun, 2010, Journal of Control Theory and Applications.

Direct heuristic dynamic programming with augmented states

Feng Liu, Shengwei Mei, Jian Sun, 2011, The 2011 International Joint Conference on Neural Networks.

Approximate dynamic programming for continuous state and control problems

Shengwei Mei, Jennie Si, Chao Lu, 2009, 2009 17th Mediterranean Conference on Control and Automation.

A performance gradient perspective on gradient-based policy iteration and a modified value iteration

Lei Yang, Jennie Si, James Dankert, 2008, Int. J. Intell. Comput. Cybern..

Computational Neuroscience - Biophysical Modeling of Neural Systems

Jennie Si, Harrison Stratton, J. Si, 2015, Handbook of Computational Intelligence.

Handbook of Learning and Approximate Dynamic Programming (IEEE Press Series on Computational Intelligence)

Jennie Si, Andrew G. Barto, Don Wunsch, 2004 .

Automatic Cell Segmentation by Adaptive Thresholding (ACSAT) for Large-Scale Calcium Imaging Datasets

Jennie Si, Simon P. Shen, Kyle R. Hansen, 2018, eNeuro.

Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-Critic Reinforcement Learning

J. Si, H. Huang, Zhikai Yao, 2021, IEEE/CAA Journal of Automatica Sinica.

Orthogonal Rotation-Invariant Moments for Digital Image Processing

Glen P. Abousleman, Jennie Si, Huibao Lin, 2008, IEEE Transactions on Image Processing.

Toward Reliable Designs of Data-Driven Reinforcement Learning Tracking Control for Euler-Lagrange Systems

J. Si, Jianyong Yao, Zhikai Yao, 2020, Neural Networks.

Approximate dynamic programming based supplementary frequency control of thermal generators in power systems with large-scale renewable generation integration

Shengwei Mei, Jennie Si, Feng Liu, 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

Incorporating approximate dynamic programming-based parameter tuning into PD-type virtual inertia control of DFIGs

Feng Liu, Shengwei Mei, Jennie Si, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Toward Design of Nonlinear ADP Learning Controllers with Performance Assurance

Lei Yang, Chao Lu, Jennie Si, 2013 .

A boundedness result for the direct heuristic dynamic programming

Feng Liu, Shengwei Mei, Jian Sun, 2012, Neural Networks.

Performance Evaluation of Direct Heuristic Dynamic Programming using Control-Theoretic Measures

Lei Yang, Jennie Si, Konstantinos S. Tsakalis, 2009, J. Intell. Robotic Syst..

Understanding Human-Prosthesis Interaction via Reinforcement Learning-Based Echo Control: A Case Study

Jennie Si, Minhan Li, He Huang, 2021, Biosystems & Biorobotics.

Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: From Time-Driven to Event-Driven pdf

Jian Sun, Jennie Si, Qingtao Zhao, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Policy Approximation in Policy Iteration Approximate Dynamic Programming for Discrete-Time Nonlinear Systems

Shengwei Mei, Jennie Si, Feng Liu, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Toward Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control

J. Si, H. Huang, Xiang Gao, 2020, IEEE Transactions on Robotics.

Uncovering the Neural Code Using a Rat Model during a Learning Control Task

Chenhui Yang, Hongwei Mao, Jennie Si, 2012, WCCI.

Consensus Control of Nonlinear Multiagent Systems With Time-Varying State Constraints

Youxian Sun, Qinmin Yang, Jennie Si, 2017, IEEE Transactions on Cybernetics.

Continuous-Time Reinforcement Learning: New Design Algorithms with Theoretical Insights and Performance Guarantees

J. Si, Brent A. Wallace, 2023, ArXiv.

Error bound analysis of policy iteration based approximate dynamic programming for deterministic discrete-time nonlinear systems

Feng Liu, Shengwei Mei, Rui Li, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Global exponential stability of neural networks with globally Lipschitz continuous activations and its application to linear variational inequality problem

Xue-Bin Liang, Jennie Si, J. Si, 2001, IEEE Trans. Neural Networks.

Reinforcement Learning Control of Robotic Knee With Human-in-the-Loop by Flexible Policy Iteration pdf

Xiang Gao, He Huang, Jennie Si, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Subset-based training and pruning of sigmoid neural networks

Jennie Si, Guian Zhou, J. Si, 1999, Neural Networks.

The M-Sorter: An automatic and robust spike detection and classification system

Chenhui Yang, Jennie Si, Yuan Yuan, 2012, Journal of Neuroscience Methods.

Modulation-Enhanced Excitation for Continuous-Time Reinforcement Learning via Symmetric Kronecker Products

J. Si, Brent A. Wallace, 2023, ArXiv.

A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton pdf

Xikai Tu, Jennie Si, Ming Liu, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Deep Reinforcement Learning for Load Shedding Against Short-Term Voltage Instability in Large Power Systems

J. Si, Yonghong Luo, Chao Lu, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Approximate Dynamic Programming Coordinated Control in Multi-infeed HVDC Power System

Chao Lu, Xiaochen Wu, J. Si, 2006, 2006 IEEE PES Power Systems Conference and Exposition.

Supplementary Damping Controller Design using Direct Heuristic Dynamic Programming in Complex Power Systems

Chao Lu, Jennie Si, J. Si, 2008 .

Automatic solar panel recognition and defect detection using infrared imaging

Glen P. Abousleman, Jennie Si, Xiang Gao, 2015, Defense + Security Symposium.

Improved discriminability of spatiotemporal neural patterns in rat motor cortical areas as directional choice learning progresses

Hongwei Mao, Jennie Si, J. Si, 2015, Front. Syst. Neurosci..

Online and model-free supplementary learning control based on approximate dynamic programming

Shengwei Mei, Jennie Si, Feng Liu, 2014, The 26th Chinese Control and Decision Conference (2014 CCDC).

The best approximation to C/sup 2/ functions and its error bounds using Gaussian hidden units

Jennie Si, Binfan Liu, J. Si, 1993, 1993 IEEE International Symposium on Circuits and Systems.

A neural correlate to learning decision and control using functional synaptic efficacy

Chenhui Yang, Jennie Si, Yuan Yuan, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Online adaptation of controller parameters based on approximate dynamic programming

Feng Liu, Shengwei Mei, Jennie Si, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Policy iteration approximate dynamic programming using Volterra series based actor

Feng Liu, Shengwei Mei, Jennie Si, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Stability of direct heuristic dynamic programming for nonlinear tracking control using PID neural network

Xiong Luo, Jennie Si, J. Si, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

An integrated design for intensified direct heuristic dynamic programming

Xiong Luo, Jennie Si, Yuchao Zhou, 2013, 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Direct Neural Dynamic Programming

Derong Liu, Jennie Si, Lei Yang, 2004 .

Stable L2-Regularized Ensemble Feature Weighting

Jennie Si, Yun Li, Shasha Huang, 2013, MCS.

Automatically customizing a powered knee prosthesis with human in the loop using adaptive dynamic programming

Jennie Si, Yue Wen, Andrea Brandt, 2017, 2017 International Symposium on Wearable Robotics and Rehabilitation (WeRob).

Offline Policy Iteration Based Reinforcement Learning Controller for Online Robotic Knee Prosthesis Parameter Tuning

Jennie Si, Xiang Gao, He Helen Huang, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Global motion estimation and target detection with region search

Glen P. Abousleman, Jennie Si, Lei Ma, 2006, SPIE Defense + Commercial Sensing.

Interval least-squares filtering with applications to robust video target tracking

Glen P. Abousleman, Jennie Si, Baohua Li, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Robust spike classification based on frequency domain neural waveform features

Jennie Si, Yuan Yuan, Chenhui Yang, 2013, Journal of neural engineering.

Helicopter trimming and tracking control using direct neural dynamic programming

J. Si, R. Enns, 2003, IEEE Trans. Neural Networks.

Direct Heuristic Dynamic Programming for Nonlinear Tracking Control With Filtered Tracking Error

Lei Yang, Jennie Si, Konstantinos S. Tsakalis, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Fast and robust image mosaicking for monocular video

Glen P. Abousleman, Jennie Si, Huibao Lin, 2005, SPIE Defense + Commercial Sensing.

Handbook of Learning and Approximate Dynamic Programming (IEEE Press Series on Computational Intelligence)

A. Barto, Warrren B Powell, J. Si, 2004 .

Approximate dynamic programming based supplementary reactive power control for DFIG wind farm to enhance power system stability

J. Si, R. Harley, S. Mei, 2015, Neurocomputing.

Reactive power control of DFIG wind farm using online supplementary learning controller based on approximate dynamic programming

Feng Liu, Shengwei Mei, Jennie Si, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Direct Heuristic Dynamic Programming for Damping Oscillations in a Large Power System

Chao Lu, Jennie Si, Xiaorong Xie, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

An integrated multitarget tracking system for interacting target scenarios

Hongwei Mao, Glen P. Abousleman, Jennie Si, 2013, Defense, Security, and Sensing.

Automatic detection and tracking of multiple interacting targets from a moving platform

Chenhui Yang, Hongwei Mao, Glen P. Abousleman, 2014 .

Reinforcement Learning Enabled Automatic Impedance Control of a Robotic Knee Prosthesis to Mimic the Intact Knee Motion in a Co-Adapting Environment pdf

He Huang, Jennie Si, Zhikai Yao, 2021, ArXiv.

Helicopter tracking control using direct neural dynamic programming

R. Enns, J. Si, J. Si, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Helicopter flight control design using a learning control approach

R. Enns, J. Si, J. Si, 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).