项目概述

本项目研究通信和计算受限系统的资源调度和反馈控制问题。这一受限系统理论模型的实际背景是网络控制系统、信息物理融合系统和物联网等新型的控制系统形态。在 这些新型的控制系统形态中,通信和计算资源的限制对传统控制理论提出了全新的挑战。拟采用一种基于主动预测的资源调度和反馈控制策略,从统一整合的角度进行此类系统的设计和分析。其基本思想是利用通信网络和嵌入式计算技术自身的特性来对它们引入的限制进行前馈式的主动补偿。将采用实时系统调度理论、模型预测控制和最优控制理论等方法,从统一整合通信、计算和控制的角度,建立一套适应于通信和计算受限系统的主动预测式的资源调度和反馈控制理论框架。这一研究将为网络控制系统、物联网和信息物理融合系统等在国民经济中的应用提供坚实的理论基础,对提高我国的工业化和信息化水平有着直接的和现实的意义。

研究目标

本项目旨在建立一套以主动预测为基础的针对通信和计算受限系统的调度和控制 理论框架。得益于对通信和计算特性的主动利用,这一框架将是在应用中可灵活配置的, 即传统的控制方法经过适当的修改仍可在这一框架下适用;同时又是有效的和优越的, 即可以达到传统的控制方法所不能达到的控制性能。所得的理论框架将经受理论和实验 环境的充分验证。

主要研究内容

  • 通信和计算受限系统的数学建模。对数据包在通信网络中传输所带来的时延、 丢包、错序及网络接入限制等和嵌入式计算所带来的接入限制和功耗要求等 进行合适的数学刻画;并进而连同所考虑的控制系统一起,建立有机的整合 通信、计算和控制的统一模型。
  • 通信和计算受限系统的理论分析与设计。将首先分别研究通信和计算受限系 统的主动预测式资源调度和反馈控制策略,然后将调度和控制有机结合,形 成统一的策略。对给定的通信、计算和控制综合指标进行系统最优设计,并 进一步分析闭环系统的稳定性、鲁棒性等性能指标。
  • 系统的实验验证。将改造由英国格拉摩根大学研发的基于 WEB 的网络控制 系统在线实验平台(加入嵌入式计算的影响),并在此经过改造的平台上对 所得到的理论结果进行实验验证。

相关阅读

研究成果

Journal Articles

  1. Characteristic Model Based Adaptive Controller Design and Analysis for a Class of SISO Systems Jian-Fei Huang, Yu Kang, Bin Meng, Yun-Bo Zhao , and Haibo Ji Sci China Inf. Sci 2016 [Abs] [doi] [PDF]
  2. Dynamic Data Packing Towards the Optimization of QoC and QoS in Networked Control Systems Yu Kang, and Yun-Bo Zhao Sci. China Technol. Sci. 2016 [Abs] [doi] [PDF]
  3. On Input-to-State Stability of Switched Stochastic Nonlinear Systems under Extended Asynchronous Switching Yu Kang, Di-Hua Zhai, Guo-Ping Liu, and Yun-Bo Zhao IEEE Trans. Cybern. 2016 [Abs] [doi] [PDF]
  4. 基于神经网络的伺服机械手 LuGre 摩擦补偿控制 王三秀, 赵云波, and 陈光 北京工业大学学报 2016 [Abs] [PDF]
  5. Regularization and Robust Stabilization of Uncertain Descriptor Fractional-Order Systems Rong Huang, Yu Kang, and Yun-Bo Zhao J. Zhejiang Univ. Sci. A 2015 [PDF]
  6. Road Characteristic Based Location Technique for Vehicle Exhaust Gas Detection Zerui Li, Yu Kang, Xin Wang, Xiaobin Tan, and Yun-Bo Zhao IFAC-Pap. 2015 [Abs] [doi] [PDF]
  7. Stability Analysis and Stabilization of a Class of Cutting Systems with Chatter Suppression Hao-Fei Meng, Yu Kang, Zhiyong Chen, and Yun-Bo Zhao IEEEASME Trans. Mechatron. 2015 [Abs] [doi] [PDF]
  8. Power Measurement Based on VSLMS Improved Adaptive Filter Qi Qian, Yu Kang, and Yun-Bo Zhao J. Univ. Sci. Technol. China 2015 [Abs] [doi] [PDF]
  9. Networked Control Systems: The Communication Basics and Control Methodologies Yun-Bo Zhao , Xi-Ming Sun, Jinhui Zhang, and Peng Shi Math. Probl. Eng. 2015 [Abs] [doi] [PDF]
  10. Stability Analysis of A Class of Hybrid Stochastic Retarded Systems under Asynchronous Switching Yu Kang, Di-Hua Zhai, Guo-Ping Liu, Yun-Bo Zhao , and Ping Zhao IEEE Trans. Autom. Control 2014 [Abs] [doi] [PDF]

Conference Articles

  1. Remote Sensing and Artificial Neural Network Estimation of On-Road Vehicle Emissions Zerui Li, Yu Kang, and Yun-Bo Zhao In Int. Conf. Adv. Inf. Netw. Appl. 2016 [Abs] [doi] [PDF]
  2. Location Problem for Traffic Emission Monitors Zerui Li, Yu Kang, and Yun-Bo Zhao In Int. Conf. Hum. Syst. Interact. 2016 [Abs] [doi] [PDF]
  3. Improved Results on Stability of Markovian Jump Systems with Time-Varying Delays Pengfei Li, Yu Kang, and Yun-Bo Zhao In IEEE Int. Conf. Control Appl. 2016 [Abs] [doi] [PDF]
  4. Fusion Approach for Real-Time Mapping Street Atmospheric Pollution Concentration Wenjun Lv, Yu Kang, Zerui Li, and Yun-Bo Zhao In Int. Conf. Hum. Syst. Interact. 2016 [Abs] [doi] [PDF]
  5. Fuzzy-Logic Based Adaptive Weighting Filter for Strap-down Inertial Navigation Systems Wenjun Lv, Yu Kang, Zhi-Jun Li, and Yun-Bo Zhao In World Congr. Intell. Control Autom. 2014 [Abs] [doi] [PDF]
  6. Networked Predictive Control of Hammerstein Systems Tian-Tian Wang, Yu Kang, and Yun-Bo Zhao In Chin. Control Conf. 2014 [Abs] [doi] [PDF]

项目合作

  • Jongrae Kim 教授, University of Leeds, UK
  • 刘国平 教授, 南方科技大学工学院
  • 康宇 教授, 中国科学技术大学自动化系