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Tao Bian

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2020 – today

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2024
[c17]
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  - conf/caibda/LiuCQBB24
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Zhiwen Liu, Wenhao Cai, Tonghui Qian, Weile Bai, Tao Bian:
Research on the Design of Blasting Protection Hose Thickness Based on Machine Learning. CAIBDA 2024: 31-35
[c16]
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Xin Shen, Tao Bian, Zhiwen Liu:
Teaching Quality Evaluation of Application-oriented Undergraduate College English Based on PSO-BP Neural Network Model. CCEAI 2024: 85-90
2023
[c15]
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Xin Shen, Tao Bian:
Research on College English Teaching Quality Evaluation Model Based on the GA Optimized BP Neural Network. ICETT 2023: 2:1-2:6
2022
[j14]
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Bo Pang, Tao Bian, Zhong-Ping Jiang:
Robust Policy Iteration for Continuous-Time Linear Quadratic Regulation. IEEE Trans. Autom. Control. 67(1): 504-511 (2022)
[j13]
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Tao Bian, Zhong-Ping Jiang:
Reinforcement Learning and Adaptive Optimal Control for Continuous-Time Nonlinear Systems: A Value Iteration Approach. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2781-2790 (2022)
[c14]
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Xin Shen, Tao Bian:
Research on the Application of BP Neural Network in the Evaluation of College Teaching Quality. ICEBT 2022: 73-77
2021
[c13]
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  - conf/ssci/QasemGB21
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Omar Qasem, Weinan Gao, Tao Bian:
Adaptive Optimal Control of Continuous-Time Linear Systems via Hybrid Iteration. SSCI 2021: 1-7
2020
[j12]
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Zhong-Ping Jiang, Tao Bian, Weinan Gao:
Learning-Based Control: A Tutorial and Some Recent Results. Found. Trends Syst. Control. 8(3): 176-284 (2020)
[j11]
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Tao Bian, Daniel M. Wolpert, Zhong-Ping Jiang:
Model-Free Robust Optimal Feedback Mechanisms of Biological Motor Control. Neural Comput. 32(3): 562-595 (2020)
[j10]
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Yan-Wu Wang, Yan Lei, Tao Bian, Zhi-Hong Guan:
Distributed Control of Nonlinear Multiagent Systems With Unknown and Nonidentical Control Directions via Event-Triggered Communication. IEEE Trans. Cybern. 50(5): 1820-1832 (2020)
[i2]
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  - journals/corr/abs-2005-09528
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Bo Pang, Tao Bian, Zhong-Ping Jiang:
Robust Policy Iteration for Continuous-time Linear Quadratic Regulation. CoRR abs/2005.09528 (2020)
[i1]
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  - journals/corr/abs-2006-00997
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Tao Bian, Zhong-Ping Jiang:
Temporal-Differential Learning in Continuous Environments. CoRR abs/2006.00997 (2020)

2010 – 2019

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2019
[j9]
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Tao Bian, Zhong-Ping Jiang:
Reinforcement learning for linear continuous-time systems: an incremental learning approach. IEEE CAA J. Autom. Sinica 6(2): 433-440 (2019)
[j8]
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Tao Bian, Zhong-Ping Jiang:
Continuous-Time Robust Dynamic Programming. SIAM J. Control. Optim. 57(6): 4150-4174 (2019)
2018
[j7]
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Tao Bian, Zhong-Ping Jiang:
Stochastic and adaptive optimal control of uncertain interconnected systems: A data-driven approach. Syst. Control. Lett. 115: 48-54 (2018)
[c12]
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Bo Pang, Tao Bian, Zhong-Ping Jiang:
Data-driven Finite-horizon Optimal Control for Linear Time-varying Discrete-time Systems. CDC 2018: 861-866
2017
[j6]
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Tao Bian, Zhong-Ping Jiang:
A Tool for the Global Stabilization of Stochastic Nonlinear Systems. IEEE Trans. Autom. Control. 62(4): 1946-1951 (2017)
[c11]
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  - conf/iconip/MauroBJ17
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Eric Mauro, Tao Bian, Zhong-Ping Jiang:
Adaptive Dynamic Programming for Human Postural Balance Control. ICONIP (4) 2017: 249-257
2016
[j5]
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Tao Bian, Zhong-Ping Jiang:
Value iteration and adaptive dynamic programming for data-driven adaptive optimal control design. Autom. 71: 348-360 (2016)
[j4]
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Tao Bian, Yu Jiang, Zhong-Ping Jiang:
Adaptive Dynamic Programming for Stochastic Systems With State and Control Dependent Noise. IEEE Trans. Autom. Control. 61(12): 4170-4175 (2016)
[c10]
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Tao Bian, Zhong-Ping Jiang:
Value iteration, adaptive dynamic programming, and optimal control of nonlinear systems. CDC 2016: 3375-3380
2015
[j3]
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Tao Bian, Yu Jiang, Zhong-Ping Jiang:
Decentralized Adaptive Optimal Control of Large-Scale Systems With Application to Power Systems. IEEE Trans. Ind. Electron. 62(4): 2439-2447 (2015)
[j2]
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Yan-Wu Wang, Tao Bian, Jiang-Wen Xiao, Changyun Wen:
Global Synchronization of Complex Dynamical Networks Through Digital Communication With Limited Data Rate. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2487-2499 (2015)
[c9]
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Tao Bian, Zhong-Ping Jiang:
Data-driven robust optimal control design for uncertain cascaded systems using value iteration. CDC 2015: 7610-7615
[c8]
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  - conf/ram/BianJ15
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Tao Bian, Zhong-Ping Jiang:
Value iteration and adaptive optimal control for linear continuous-time systems. RAM/CIS 2015: CIS:53-58
2014
[j1]
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Tao Bian, Yu Jiang, Zhong-Ping Jiang:
Adaptive dynamic programming and optimal control of nonlinear nonaffine systems. Autom. 50(10): 2624-2632 (2014)
[c7]
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Tao Bian, Zhong-Ping Jiang:
Robust adaptive dynamic programming for continuous-time linear stochastic systems. ISIC 2014: 536-541
[c6]
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Tao Bian, Yu Jiang, Zhong-Ping Jiang:
Adaptive dynamic programming for nonlinear nonaffine systems. CDC 2014: 3603-3608
2012
[c5]
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  - conf/icarcv/BianW12
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Tao Bian, Yan-Wu Wang:
Average consensus of multi-agent systems under logarithm quantized communications. ICARCV 2012: 418-423
2010
[c4]
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  - conf/icc/BianVL10
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Tao Bian, Ramachandran Venkatesan, Cheng Li:
An Improved Localization Method Using Error Probability Distribution for Underwater Sensor Networks. ICC 2010: 1-6
[c3]
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  - conf/wcnc/LiVB10
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Cheng Li, Ramachandran Venkatesan, Tao Bian:
A Refined Localization Method for Underwater Tetherless Sensor Networks. WCNC 2010: 1-6

2000 – 2009

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2009
[c2]
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  - conf/globecom/BianVL09
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Tao Bian, Ramachandran Venkatesan, Cheng Li:
Design and Evaluation of a New Localization Scheme for Underwater Acoustic Sensor Networks. GLOBECOM 2009: 1-5
[c1]
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Tao Bian, Ramachandran Venkatesan, Cheng Li:
Adaptive Time Synchronization for Wireless Sensor Networks with Self-Calibration. ICC 2009: 1-5

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