基于无线局域网(wireless local area network,WLAN)指纹的定位方法具有成本低、可用性好等优点,近年来越来越受到人们的关注。为了实现室内定位系统的快速部署,通常采用众包技术替代传统部署方法。在离线阶段建立radio map数据库时,由...基于无线局域网(wireless local area network,WLAN)指纹的定位方法具有成本低、可用性好等优点,近年来越来越受到人们的关注。为了实现室内定位系统的快速部署,通常采用众包技术替代传统部署方法。在离线阶段建立radio map数据库时,由于利用众包技术采集的接收信号强度(received signal strength,RSS)数据量大大减少,使得RSS数据中的噪声和采集误差无法得到有效抑制,造成建立的radio map精度较低,定位误差增大。针对该问题,提出了一种基于多维尺度变换(multidimensional scaling,MDS)算法的RSS平滑理论。利用相邻位置RSS数据之间的相关性,在每个位置推断出一个最优RSS值,从而实现抑制噪声和消除采集误差的作用,最终得到更平滑的radio map,提高定位精度。实验结果表明,采用MDS方法达到了预期的目标。展开更多
A distributed model predictive control(MPC) scheme with one-step delay communication is proposed for on-line optimization and control of large-scale systems in this paper. Cooperation between subsystems is achieved by...A distributed model predictive control(MPC) scheme with one-step delay communication is proposed for on-line optimization and control of large-scale systems in this paper. Cooperation between subsystems is achieved by exchanging information with neighbor-to-neighbor communication and by optimizing the local problem with the improved performance index in the neighborhood. A distributed MPC algorithm with one-step delay communication is developed for the situation that there is a one-step delay in the information available from its neighbors when a subsystem solves the local optimization problem. The nominal stability is employed for the whole system under the distributed MPC algorithm without the inequality constraints. Finally, the case study of the reactor-storage-separator(RSS) system is illustrated to test the practicality of the presented control algorithm.展开更多
文摘基于无线局域网(wireless local area network,WLAN)指纹的定位方法具有成本低、可用性好等优点,近年来越来越受到人们的关注。为了实现室内定位系统的快速部署,通常采用众包技术替代传统部署方法。在离线阶段建立radio map数据库时,由于利用众包技术采集的接收信号强度(received signal strength,RSS)数据量大大减少,使得RSS数据中的噪声和采集误差无法得到有效抑制,造成建立的radio map精度较低,定位误差增大。针对该问题,提出了一种基于多维尺度变换(multidimensional scaling,MDS)算法的RSS平滑理论。利用相邻位置RSS数据之间的相关性,在每个位置推断出一个最优RSS值,从而实现抑制噪声和消除采集误差的作用,最终得到更平滑的radio map,提高定位精度。实验结果表明,采用MDS方法达到了预期的目标。
基金the National Natural Science Foundation of China(No.61203110)the Shanghai Natural Science Foundation(No.13ZR1418900)the Innovation Programs of Shanghai Municipal Education Commission(Nos.12ZZ155 and 14YZ107)
文摘A distributed model predictive control(MPC) scheme with one-step delay communication is proposed for on-line optimization and control of large-scale systems in this paper. Cooperation between subsystems is achieved by exchanging information with neighbor-to-neighbor communication and by optimizing the local problem with the improved performance index in the neighborhood. A distributed MPC algorithm with one-step delay communication is developed for the situation that there is a one-step delay in the information available from its neighbors when a subsystem solves the local optimization problem. The nominal stability is employed for the whole system under the distributed MPC algorithm without the inequality constraints. Finally, the case study of the reactor-storage-separator(RSS) system is illustrated to test the practicality of the presented control algorithm.
