Analysis and design techniques for cooperative flocking of nonholonomic multi-robot systems with connectivity maintenance on directed graphs are presented. First, a set of bounded and smoothly distributed control prot...Analysis and design techniques for cooperative flocking of nonholonomic multi-robot systems with connectivity maintenance on directed graphs are presented. First, a set of bounded and smoothly distributed control protocols are devised via carefully designing a class of bounded artificial potential fields (APF) which could guarantee the connectivity maintenance, col ision avoidance and distance stabilization simultaneously during the system evolution. The connectivity of the underlying network can be preserved, and the desired stable flocking behavior can be achieved provided that the initial communication topology is strongly connected rather than undirected or balanced, which relaxes the constraints for group topology and extends the previous work to more generalized directed graphs. Furthermore, the proposed control algorithm is extended to solve the flocking problem with a virtual leader. In this case, it is shown that al robots can asymptotically move with the desired velocity and orientation even if there is only one informed robot in the team. Finally, nontrivial simulations and experiments are conducted to verify the effectiveness of the proposed algorithm.展开更多
目的:研究双侧经颅直流电刺激(dual-hemispheric transcranial direct current stimulation,Dual-tDCS)对慢性期脑卒中患者上肢运动功能的影响,为治疗慢性期脑卒中上肢功能障碍提供基于神经机制的理论依据。方法:选取某院24例慢性期脑...目的:研究双侧经颅直流电刺激(dual-hemispheric transcranial direct current stimulation,Dual-tDCS)对慢性期脑卒中患者上肢运动功能的影响,为治疗慢性期脑卒中上肢功能障碍提供基于神经机制的理论依据。方法:选取某院24例慢性期脑卒中上肢运动功能障碍患者,按照随机数字表法将其分为研究组(n=13)和对照组(n=11)。对照组采用tDCS伪刺激联合常规康复治疗,研究组采用Dual-tDCS联合常规康复治疗。治疗前后,采用Fugl-Meyer运动功能评定量表上肢部分(Fugl-Meyer assessment upper limb scale,FMA-UL)及日常生活活动能力(activities of daily living,ADL)测评量表对患者活动能力进行评估。对比治疗前后初级运动皮层(M1区)与全脑功能连接(functional connectivity,FC)的变化。使用SPSS 24.0统计学软件进行数据分析。结果:治疗后,2组患者的FMA-UL、ADL评分比治疗前均显著提高,且研究组评分明显高于对照组,差异有统计学意义(P<0.05)。M1区与全脑FC分析显示,治疗后对照组健侧M1区到患侧枕中回、健侧舌回、健侧角回FC降低(P<0.01);患侧M1区未见FC变化脑区。治疗后研究组健侧M1区到健侧小脑、健侧小脑蚓部FC降低,到患侧中央前回FC增加(P<0.01);患侧M1区到患侧小脑、患侧颞中回FC增加,到健侧中央前回FC降低(P<0.01)。结论:Dual-tDCS对大脑的神经调控作用可改善慢性期卒中患者运动和非运动相关脑区的FC,可能是慢性期脑卒中上肢运动功能障碍的康复机制。展开更多
针对眼底图像中存在大量不规则、噪声干扰严重、边界模糊、分割难度较大的细小血管的问题,提出一种基于多方向特征和连通性检测的眼底图像分割方法MDF_Net&CD(Multi-Directional Features neural Network and Connectivity Detecti...针对眼底图像中存在大量不规则、噪声干扰严重、边界模糊、分割难度较大的细小血管的问题,提出一种基于多方向特征和连通性检测的眼底图像分割方法MDF_Net&CD(Multi-Directional Features neural Network and Connectivity Detection)。设计了一个以像素点不同方向特征向量为输入的深度神经网络模型MDF_Net(Multi-Directional Features neural Network),利用MDF_Net对眼底图像进行初步分割;提出连通性检测算法,根据血管的几何特征,对MDF_Net的初步分割结果进一步修订。在公开的眼底图像数据集上,将MDF_Net&CD与近期有代表性的分割方法进行实验对比,结果表明MDF_Net&CD各项评估指标均衡,敏感度,F1值和准确率优于其他方法。该方法能有效捕捉像素点的细节特征,对不规则、噪声干扰严重、边界模糊的细小血管有较好分割效果。展开更多
随着海上风电、光伏等新能源的大规模建设,产生了直流输电、交直流互联和储能的应用需求。目前储能技术的研究和应用主要集中于交流储能领域。模块化多电平电池储能系统(modular multilevel converter based battery energy storage sys...随着海上风电、光伏等新能源的大规模建设,产生了直流输电、交直流互联和储能的应用需求。目前储能技术的研究和应用主要集中于交流储能领域。模块化多电平电池储能系统(modular multilevel converter based battery energy storage system,MMC-BESS)虽然在交直流互联的同时,实现了储能的功能,但电池中流过的工频、二倍频等脉动电流成分对电池寿命有潜在影响,且传统的模块化多电平(modular multilevel converter,MMC)换流站的改造成本高。本工作提出的直流直挂储能装置将换流和储能分离,电池电流仅为直流和高频脉动成分,工况对电池友好,且直流直挂储能系统需要电池单体数量仅为MMC-BESS的1/6,成本低。对直流直挂储能装置的拓扑结构及工作原理进行分析;对级联子模块的数量和参数进行设计;基于载波移相调制,推导直流纹波电流,进而对并网电感参数进行设计;建立直流直挂储能装置的数学模型,推导控制模型,根据控制框图进行功率控制。最后,通过仿真和样机实验,验证该半桥拓扑级联型直流直挂储能装置设计的可行性及正确性。实验证明,该设计和控制方法效果良好,对高压大容量直流直挂储能装置的设计有一定参考价值。展开更多
基金supported by the National Natural Science Foundation of China(61175112)the Foundation for Innovative Research Groups of the National Natural Science Foundation of China(G61321002)+3 种基金the Projects of Major International(Regional)Joint Research Program(61120106010)the Beijing Education Committee Cooperation Building Foundationthe Program for Changjiang Scholars and Innovative Research Team in University(IRT1208)the ChangJiang Scholars Program and the Beijing Outstanding Ph.D.Program Mentor Grant(20131000704)
文摘Analysis and design techniques for cooperative flocking of nonholonomic multi-robot systems with connectivity maintenance on directed graphs are presented. First, a set of bounded and smoothly distributed control protocols are devised via carefully designing a class of bounded artificial potential fields (APF) which could guarantee the connectivity maintenance, col ision avoidance and distance stabilization simultaneously during the system evolution. The connectivity of the underlying network can be preserved, and the desired stable flocking behavior can be achieved provided that the initial communication topology is strongly connected rather than undirected or balanced, which relaxes the constraints for group topology and extends the previous work to more generalized directed graphs. Furthermore, the proposed control algorithm is extended to solve the flocking problem with a virtual leader. In this case, it is shown that al robots can asymptotically move with the desired velocity and orientation even if there is only one informed robot in the team. Finally, nontrivial simulations and experiments are conducted to verify the effectiveness of the proposed algorithm.
文摘目的:研究双侧经颅直流电刺激(dual-hemispheric transcranial direct current stimulation,Dual-tDCS)对慢性期脑卒中患者上肢运动功能的影响,为治疗慢性期脑卒中上肢功能障碍提供基于神经机制的理论依据。方法:选取某院24例慢性期脑卒中上肢运动功能障碍患者,按照随机数字表法将其分为研究组(n=13)和对照组(n=11)。对照组采用tDCS伪刺激联合常规康复治疗,研究组采用Dual-tDCS联合常规康复治疗。治疗前后,采用Fugl-Meyer运动功能评定量表上肢部分(Fugl-Meyer assessment upper limb scale,FMA-UL)及日常生活活动能力(activities of daily living,ADL)测评量表对患者活动能力进行评估。对比治疗前后初级运动皮层(M1区)与全脑功能连接(functional connectivity,FC)的变化。使用SPSS 24.0统计学软件进行数据分析。结果:治疗后,2组患者的FMA-UL、ADL评分比治疗前均显著提高,且研究组评分明显高于对照组,差异有统计学意义(P<0.05)。M1区与全脑FC分析显示,治疗后对照组健侧M1区到患侧枕中回、健侧舌回、健侧角回FC降低(P<0.01);患侧M1区未见FC变化脑区。治疗后研究组健侧M1区到健侧小脑、健侧小脑蚓部FC降低,到患侧中央前回FC增加(P<0.01);患侧M1区到患侧小脑、患侧颞中回FC增加,到健侧中央前回FC降低(P<0.01)。结论:Dual-tDCS对大脑的神经调控作用可改善慢性期卒中患者运动和非运动相关脑区的FC,可能是慢性期脑卒中上肢运动功能障碍的康复机制。
文摘针对眼底图像中存在大量不规则、噪声干扰严重、边界模糊、分割难度较大的细小血管的问题,提出一种基于多方向特征和连通性检测的眼底图像分割方法MDF_Net&CD(Multi-Directional Features neural Network and Connectivity Detection)。设计了一个以像素点不同方向特征向量为输入的深度神经网络模型MDF_Net(Multi-Directional Features neural Network),利用MDF_Net对眼底图像进行初步分割;提出连通性检测算法,根据血管的几何特征,对MDF_Net的初步分割结果进一步修订。在公开的眼底图像数据集上,将MDF_Net&CD与近期有代表性的分割方法进行实验对比,结果表明MDF_Net&CD各项评估指标均衡,敏感度,F1值和准确率优于其他方法。该方法能有效捕捉像素点的细节特征,对不规则、噪声干扰严重、边界模糊的细小血管有较好分割效果。
文摘随着海上风电、光伏等新能源的大规模建设,产生了直流输电、交直流互联和储能的应用需求。目前储能技术的研究和应用主要集中于交流储能领域。模块化多电平电池储能系统(modular multilevel converter based battery energy storage system,MMC-BESS)虽然在交直流互联的同时,实现了储能的功能,但电池中流过的工频、二倍频等脉动电流成分对电池寿命有潜在影响,且传统的模块化多电平(modular multilevel converter,MMC)换流站的改造成本高。本工作提出的直流直挂储能装置将换流和储能分离,电池电流仅为直流和高频脉动成分,工况对电池友好,且直流直挂储能系统需要电池单体数量仅为MMC-BESS的1/6,成本低。对直流直挂储能装置的拓扑结构及工作原理进行分析;对级联子模块的数量和参数进行设计;基于载波移相调制,推导直流纹波电流,进而对并网电感参数进行设计;建立直流直挂储能装置的数学模型,推导控制模型,根据控制框图进行功率控制。最后,通过仿真和样机实验,验证该半桥拓扑级联型直流直挂储能装置设计的可行性及正确性。实验证明,该设计和控制方法效果良好,对高压大容量直流直挂储能装置的设计有一定参考价值。