Tao Bian

According to our database, Tao Bian authored at least 31 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Teaching Quality Evaluation of Application-oriented Undergraduate College English Based on PSO-BP Neural Network Model.

Xin Shen, Tao Bian, Zhiwen Liu

Proceedings of the 2024 8th International Conference on Control Engineering and Artificial Intelligence, 2024

2023

Research on College English Teaching Quality Evaluation Model Based on the GA Optimized BP Neural Network.

Xin Shen, Tao Bian

Proceedings of the 9th International Conference on Education and Training Technologies, 2023

2022

Reinforcement Learning and Adaptive Optimal Control for Continuous-Time Nonlinear Systems: A Value Iteration Approach.

Tao Bian, Zhong-Ping Jiang

IEEE Trans. Neural Networks Learn. Syst., 2022

Robust Policy Iteration for Continuous-Time Linear Quadratic Regulation.

Bo Pang, Tao Bian, Zhong-Ping Jiang

IEEE Trans. Autom. Control., 2022

Research on the Application of BP Neural Network in the Evaluation of College Teaching Quality.

Xin Shen, Tao Bian

Proceedings of the ICEBT 2022: 6th International Conference on E-Education, E-Business and E-Technology, Beijing, China, June 25, 2022

2021

Adaptive Optimal Control of Continuous-Time Linear Systems via Hybrid Iteration.

Omar Qasem, Weinan Gao, Tao Bian

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020

Distributed Control of Nonlinear Multiagent Systems With Unknown and Nonidentical Control Directions via Event-Triggered Communication.

Yan-Wu Wang, Yan Lei, Tao Bian, Zhi-Hong Guan

IEEE Trans. Cybern., 2020

Model-Free Robust Optimal Feedback Mechanisms of Biological Motor Control.

Tao Bian, Daniel M. Wolpert, Zhong-Ping Jiang

Neural Comput., 2020

Learning-Based Control: A Tutorial and Some Recent Results.

Zhong-Ping Jiang, Tao Bian, Weinan Gao

Found. Trends Syst. Control., 2020

Temporal-Differential Learning in Continuous Environments.

Tao Bian, Zhong-Ping Jiang

CoRR, 2020

2019

Continuous-Time Robust Dynamic Programming.

Tao Bian, Zhong-Ping Jiang

SIAM J. Control. Optim., 2019

Reinforcement learning for linear continuous-time systems: an incremental learning approach.

Tao Bian, Zhong-Ping Jiang

IEEE CAA J. Autom. Sinica, 2019

2018

Stochastic and adaptive optimal control of uncertain interconnected systems: A data-driven approach.

Tao Bian, Zhong-Ping Jiang

Syst. Control. Lett., 2018

Data-driven Finite-horizon Optimal Control for Linear Time-varying Discrete-time Systems.

Bo Pang, Tao Bian, Zhong-Ping Jiang

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

A Tool for the Global Stabilization of Stochastic Nonlinear Systems.

Tao Bian, Zhong-Ping Jiang

IEEE Trans. Autom. Control., 2017

Adaptive Dynamic Programming for Human Postural Balance Control.

Eric Mauro, Tao Bian, Zhong-Ping Jiang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Adaptive Dynamic Programming for Stochastic Systems With State and Control Dependent Noise.

Tao Bian, Yu Jiang, Zhong-Ping Jiang

IEEE Trans. Autom. Control., 2016

Value iteration and adaptive dynamic programming for data-driven adaptive optimal control design.

Tao Bian, Zhong-Ping Jiang

Autom., 2016

Value iteration, adaptive dynamic programming, and optimal control of nonlinear systems.

Tao Bian, Zhong-Ping Jiang

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Global Synchronization of Complex Dynamical Networks Through Digital Communication With Limited Data Rate.

Yan-Wu Wang, Tao Bian, Jiang-Wen Xiao, Changyun Wen

IEEE Trans. Neural Networks Learn. Syst., 2015

Decentralized Adaptive Optimal Control of Large-Scale Systems With Application to Power Systems.

Tao Bian, Yu Jiang, Zhong-Ping Jiang

IEEE Trans. Ind. Electron., 2015

Value iteration and adaptive optimal control for linear continuous-time systems.

Tao Bian, Zhong-Ping Jiang

Proceedings of the 7th International Conference on Cybernetics and Intelligent Systems, 2015

Data-driven robust optimal control design for uncertain cascaded systems using value iteration.

Tao Bian, Zhong-Ping Jiang

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Adaptive dynamic programming and optimal control of nonlinear nonaffine systems.

Tao Bian, Yu Jiang, Zhong-Ping Jiang

Autom., 2014

Adaptive dynamic programming for nonlinear nonaffine systems.

Tao Bian, Yu Jiang, Zhong-Ping Jiang

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Robust adaptive dynamic programming for continuous-time linear stochastic systems.

Tao Bian, Zhong-Ping Jiang

Proceedings of the 2014 IEEE International Symposium on Intelligent Control, 2014

2012

Average consensus of multi-agent systems under logarithm quantized communications.

Tao Bian, Yan-Wu Wang

Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

2010

A Refined Localization Method for Underwater Tetherless Sensor Networks.

Cheng Li, Ramachandran Venkatesan, Tao Bian

Proceedings of the 2010 IEEE Wireless Communications and Networking Conference, 2010

An Improved Localization Method Using Error Probability Distribution for Underwater Sensor Networks.

Tao Bian, Ramachandran Venkatesan, Cheng Li

Proceedings of IEEE International Conference on Communications, 2010

2009

Adaptive Time Synchronization for Wireless Sensor Networks with Self-Calibration.

Tao Bian, Ramachandran Venkatesan, Cheng Li

Proceedings of IEEE International Conference on Communications, 2009

Design and Evaluation of a New Localization Scheme for Underwater Acoustic Sensor Networks.

Tao Bian, Ramachandran Venkatesan, Cheng Li

Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009