研究背景

非完全信息动态博弈决策在复杂经济活动、人机对抗等领域有广泛用途,一直是博弈论研究的热点。在人工智能时代,数据量的大规模增长、机器智能的巨大飞跃和人机对抗等应用的飞速发展分别形成了“信息大数据”、 “算法高智能”和“对抗强动态”复杂环境,进一步导致了巨量数据不能直接利用的 “不可用”非完全信息形态、深度学习算法不可解释的“不可知”非完全信息形态和对抗欺骗状态下“不可信”非完全信息形态。这些全新的非完全信息形 态的出现使得非完全信息动态博弈决策理论面临着全新的挑战。应对这一挑战 一方面是对传统博弈理论在人工智能时代的重塑,另一方面也会带来全新的人工智能理论和技术的发展,在当前机遇窗口具有深远的意义。

研究目标

给出复杂环境下面向博弈决策的不同形态非完全信息的来源、种类和静态刻画, 提出信息大数据“不可用”、算法高智能“不可知”和对抗强动态“不可信”非完全信息下动态博弈决策的描述方法,并最终建立复杂环境下非完全信息博弈决策的智能基础模型。

主要研究内容

  • 复杂环境下不同形态非完全信息的静态刻画
  • 不同形态非完全信息下动态博弈决策的特征分析
  • 非完全信息下博弈决策的智能基础模型构建

拟解决的重大科学问题或关键技术问题

  • 理解复杂环境的“不确定性”:如何刻画复杂环境非完全信息并分析其对动态博弈模型的影响?
  • 构建“不确定性”下的智能基础模型:如何将复杂环境 “不确定”特点融入到动态博弈框架下,构建新形式的智能基础模型?
  • 智能基础模型的可用性:如何保证构建的智能基础模型满足所需的实时性要求,使得其实际可用?

基本研究框架

相关阅读

研究成果

Journal Articles

  1. 基于动态信道切换的无线网络化控制系统的资源调度策略 郝小梅, and 赵云波 高技术通讯 2023 [Abs] [PDF]
  2. 基于轨迹预测与改进人工势场法的机械臂动态避障规划方法 吴芳, and 赵云波 高技术通讯 2023 [Abs] [PDF]
  3. 基于优先级预测器的无线网络化控制系统的动态传输策略.Pdf 闫文晓, and 赵云波 高技术通讯 2023 [Abs] [PDF]
  4. Robust Nonsingular Fixed Time Terminal Sliding Mode Control for Atmospheric Pollution Detection Lidar Scanning Mechanism Yu Kang, Yuxiao Yang, Cai Chen, Wenjun Lv, and Yun-Bo Zhao J Syst Sci Complex 2022 [Abs] [PDF]
  5. Compound Event-Triggered Distributed MPC for Coupled Nonlinear Systems Yu Kang, Tao Wang, Pengfei Li, Zhenyi Xu, and Yun-Bo Zhao IEEE Trans. Cybern. 2022 [Abs] [doi] [PDF]
  6. Disturbance Prediction Based Adaptive Event-Triggered Model Predictive Control for Perturbed Nonlinear Systems Pengfei Li, Yu Kang, Tao Wang, and Yun-Bo Zhao IEEE Trans. Autom. Control 2022 [Abs] [doi] [PDF]
  7. Event-Based Model Predictive Control for Nonlinear Systems with Dynamic Disturbance Pengfei Li, Tao Wang, Yu Kang, Kun Li, and Yun-Bo Zhao Automatica 2022 [Abs] [PDF]
  8. Cluster Consensus for Coupled Harmonic Oscillators under a Weighted Cooperative-Competitive Network Cui-Qin Ma, Tian-Ya Liu, and Yun-Bo Zhao International Journal of Control 2022 [doi] [PDF]
  9. Leader-Following Cluster Consensus of Multiagent Systems With Measurement Noise and Weighted Cooperative–Competitive Networks Cui-Qin Ma, Tian-Ya Liu, Yu Kang, and Yun-Bo Zhao IEEE Trans. Syst. Man Cybern, Syst. 2022 [Abs] [doi] [PDF]
  10. 利用人的分歧介入增强珍珠自动分拣可靠性研究 花婷婷, 王岭人, and 赵云波 计算机测量与控制 2021 [Abs] [PDF]
  11. A Novel Self-Triggered MPC Scheme for Constrained Input-Affine Nonlinear Systems Pengfei Li, Yu Kang, Yun-Bo Zhao , and Tao Wang IEEE Trans. Circuits Syst. II 2021 [Abs] [doi] [PDF]
  12. Robust Approximation-Based Event-Triggered MPC for Constrained Sampled-Data Systems Tao Wang, Yu Kang, Pengfei Li, Yun-Bo Zhao , and Peilong Yu J Syst Sci Complex 2021 [Abs] [doi] [PDF]
  13. Traded Control of Human-Machine Systems for Sequential Decision-Making Based on Reinforcement Learning Qianqian Zhang, Yu Kang, Yun-Bo Zhao , Pengfei Li, and Shiyi You IEEE Trans. Artif. Intell. 2021 [Abs] [doi] [PDF]
  14. Multi-Path Switching Protection for Networked Control Systems Under Unbounded DoS Attacks Qiaohui Zhu, Qipeng Liang, Yu Kang, and Yun-Bo Zhao J. Univ. Sci. Technol. China 2021 [Abs] [doi] [PDF]
  15. Integrated Channel-Aware Scheduling and Packet-Based Predictive Control for Wireless Cloud Control Systems Pengfei Li, Yun-Bo Zhao , and Yu Kang IEEE Trans. Cybern. 2020 [Abs] [doi] [PDF]
  16. A Novel Inertial-Visual Heading Determination System for Wheeled Mobile Robots Wenjun Lv, Yu Kang, Yun-Bo Zhao , Yuping Wu, and Wei Xing Zheng IEEE Trans. Contr. Syst. Technol. 2020 [Abs] [doi] [PDF]
  17. Robust Model Predictive Control for Constrained Networked Nonlinear Systems: An Approximation-Based Approach Tao Wang, Yu Kang, Pengfei Li, Yun-Bo Zhao , and Peilong Yu Neurocomputing 2020 [doi] [PDF]

Conference Articles

  1. Spectrally Normalized Adaptive Neural Identifier for Dynamic Modeling and Trajectory Tracking Control of Unmanned Aerial Vehicle Shaofeng Chen, Yu Kang, Yun-Bo Zhao , Mou Chen, and Yang Cao In 2022 International Conference on Guidance, Navigation and Control (ICGNC 2022) 2022 [Abs] [PDF]
  2. Shared Autonomy Based on Human-in-the-loop Reinforcement Learning with Policy Constraints Ming Li, Yu Kang, Yun-Bo Zhao , Jin Zhu, and Shiyi You In The 41st Chinese Control Conference 2022 [Abs] [PDF]
  3. Strategy Generation Based on DDPG with Prioritized Experience Replay for UCAV Junsen Lu, Yun-Bo Zhao , Yu Kang, Yuhui Wang, and Yimin Deng In The IEEE International Conference on Advanced Robotics and Mechatronics (ICARM) 2022 [Abs] [PDF]
  4. 1v1 Air Combat Maneuver Decision Using Minimax-DQN Shuhui Yin, Yu Kang, Yun-Bo Zhao , and Jian Xue In The 41st Chinese Control Conference 2022 [Abs] [PDF]
  5. Self-Triggered Model Predictive Control for Perturbed Nonlinear Systems: An Iterative Implementation Tao Wang, Pengfei Li, Yu Kang, and Yun-Bo Zhao In 60th IEEE Conf. Decis. Control CDC 2021 [Abs] [PDF]
  6. Robust Approximation-Based Self-Triggered Model Predictive Control for Perturbed Constrained Nonlinear Sampled-Data Systems Chang Xu, Yu Kang, Yun-Bo Zhao , Pengfei Li, and Tao Wang In 2021 China Autom. Congr. CAC 2021 [Abs] [PDF]
  7. Adaptive Arbitration for Minimal Intervention Shared Control via Deep Reinforcement Learning Shiyi You, Yu Kang, Yun-Bo Zhao , and Qianqian Zhang In 2021 China Autom. Congr. 2021 [Abs] [PDF]
  8. Event-Triggered Adaptive Horizon Model Predictive Control for Perturbed Nonlinear Systems Pengfei Li, Tao Wang, Yu Kang, and Yun-Bo Zhao In 2020 59th IEEE Conf. Decis. Control CDC 2020 [Abs] [doi] [PDF]
  9. Synthesis of Wireless Networked Control System Based on Round-Trip Delay Online Estimation Liang Lv, Qipeng Liang, Qiaohui Zhu, and Yun-Bo Zhao In Proc 2020 China Autom. Congr. 2020 [Abs] [PDF]
  10. Detection of Distracted Driving Based on Multi- Granularity and Middle-Level Features Min Tang, Fang Wu, Li-Li Zhao, Qi-Peng Liang, Jian-Wu Lin, and Yun-Bo Zhao In China Autom. Congr. 2020 [Abs] [PDF]
  11. Autonomous Boundary of Human-Machine Collaboration System Based on Reinforcement Learning Qianqian Zhang, Yun-Bo Zhao , and Yu Kang In 2020 Aust. N. Z. Control Conf. ANZCC 2020 [Abs] [PDF]

Theses

  1. 基于人类决策有效性的人机混合决策方法研究 游诗艺 中国科学技术大学, 合肥 2022 [Abs] [PDF]
  2. 基于机器视觉的驾驶员注意力检测系统设计 唐敏 浙江工业大学, 杭州 2021 [Abs] [PDF]
  3. 面向人机序贯决策的混合智能方法研究 张倩倩 中国科学技术大学, 合肥 2021 [Abs] [PDF]
  4. 无界 DoS 攻击下网络化控制系统的防护设计 朱巧慧 浙江工业大学, 杭州 2021 [Abs] [PDF]

Books

  1. 人机混合智能系统自主性理论和方法 赵云波, 康宇, and 朱进 科学出版社 2021 [Abs] [PDF]

patent

  1. 一种人机系统中人的状态的识别方法 赵云波, 唐敏, and 赵丽丽 2022 [Abs] [PDF]
  2. 一种基于多路径切换的无限制DoS攻击防护方法 赵云波, and 朱巧慧 2022 [Abs] [PDF]
  3. 一种基于人的分歧介入的珍珠分拣方法 赵云波, 花婷婷, 王岭人, and 唐敏 [Abs]
  4. 一种基于多粒度特征与中层特征的分心驾驶检测方法 赵云波, 唐敏, 花婷婷, and 赵丽丽 [Abs]
  5. 一种基于POMDP和面部行为分析的驾驶培训辅助方法 赵云波, 吴芳, 赵丽丽, and 崔奇 [Abs]
  6. 一种基于图像的电脑操作员的疲劳检测方法 赵云波, 唐敏, 朱创, and 孙悦铖 [Abs]
  7. 一种基于多算法集成的分歧介入珍珠分拣方法 赵云波, 花婷婷, 赵丽丽, and 崔奇 [Abs]

项目人员

赵云波 刘畅 卢峻森 吴芳 周雅情 夏睿钰 李明 殷书慧 汪洋 游诗艺 王中月 田霞 花婷婷 蒋舒悦 谢祖浩 赵丽丽 陈少军

项目合作

  • 康宇 教授, 中国科学技术大学自动化系
  • 朱进 副教授, 中国科学技术大学自动化系
  • 陈晋音 教授, 浙江工业大学信息工程学院&网络安全研究院