期刊文献+
共找到4篇文章
< 1 >
每页显示 20 50 100
仿生爬壁蠕虫运动步态控制算法
1
作者 李大寨 王巍 +1 位作者 王莹莹 齐婧浩 《北京航空航天大学学报》 EI CAS CSCD 北大核心 2009年第2期256-260,共5页
设计了一种基于仿生原理的爬壁蠕虫机器人,分析了这种机器人的结构,并利用仿生学原理设计了基于三角波和梯形波特点的两种运动步态.在分析现有神经中枢控制CPG(Central Pattern Generator)算法基础上,应用循环抑制CPG模型和相互抑制CPG... 设计了一种基于仿生原理的爬壁蠕虫机器人,分析了这种机器人的结构,并利用仿生学原理设计了基于三角波和梯形波特点的两种运动步态.在分析现有神经中枢控制CPG(Central Pattern Generator)算法基础上,应用循环抑制CPG模型和相互抑制CPG模型,构建了爬壁蠕虫机器人的三角波步态CPG控制网络和梯形波步态CPG控制网络,并结合吸盘状态,加入反馈信号,实现了带有反馈的CPG控制算法.利用爬壁蠕虫机器人模型,仿真验证了这种控制算法对蠕动运动步态控制的有效性,通过在爬壁蠕虫机器人原理样机上的步态实验,证明了该算法的可行性. 展开更多
关键词 爬壁蠕虫机器人 神经中枢控制 蠕动步态
下载PDF
Neural Network Nonlinear Predictive Control Based on Tent-map Chaos Optimization 被引量:5
2
作者 宋莹 陈增强 袁著祉 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2007年第4期539-544,共6页
With the unique erggdicity, i rregularity, and.special ability to avoid being trapped in local optima, chaos optimization has been a novel global optimization technique and has attracted considerable attention for a... With the unique erggdicity, i rregularity, and.special ability to avoid being trapped in local optima, chaos optimization has been a novel global optimization technique and has attracted considerable attention for application in various fields, such as nonlinear programming problems. In this article, a novel neural network nonlinear predic-tive control (NNPC) strategy baseed on the new Tent-map chaos optimization algorithm (TCOA) is presented. Thefeedforward neural network'is used as the multi-step predictive model. In addition, the TCOA is applied to perform the nonlinear rolling optimization to enhance the convergence and accuracy in the NNPC. Simulation on a labora-tory-scale liquid-level system is given to illustrate the effectiveness of the proposed method. 展开更多
关键词 model-based predictive control neural network Tent-map chaos optimization nonlinear system
下载PDF
EEG processing and its application in brain-computer interface 被引量:3
3
作者 Wang Jing Xu Guanghua +5 位作者 Xie Jun Zhang Feng Li Lili Han Chengcheng Li Yeping Sun Jingjing 《Engineering Sciences》 EI 2013年第1期54-61,共8页
Electroencephalogram (EEG) is an efficient tool in exploring human brains. It plays a very important role in diagnosis of disorders related to epilepsy and development of new interaction techniques between machines an... Electroencephalogram (EEG) is an efficient tool in exploring human brains. It plays a very important role in diagnosis of disorders related to epilepsy and development of new interaction techniques between machines and human beings,namely,brain-computer interface (BCI). The purpose of this review is to illustrate the recent researches in EEG processing and EEG-based BCI. First,we outline several methods in removing artifacts from EEGs,and classical algorithms for fatigue detection are discussed. Then,two BCI paradigms including motor imagery and steady-state motion visual evoked potentials (SSMVEP) produced by oscillating Newton's rings are introduced. Finally,BCI systems including wheelchair controlling and electronic car navigation are elaborated. As a new technique to control equipments,BCI has promising potential in rehabilitation of disorders in central nervous system,such as stroke and spinal cord injury,treatment of attention deficit hyperactivity disorder (ADHD) in children and development of novel games such as brain-controlled auto racings. 展开更多
关键词 ELECTROENCEPHALOGRAM brain- computer interface artifacts removal fatigue detection steady- statemotion visual evoked potentials motor imagery
下载PDF
Central pattern generation underlying Limulus rhythmic behavior patterns 被引量:1
4
作者 Gordon A.Wyse 《Current Zoology》 SCIE CAS CSCD 北大核心 2010年第5期537-549,共13页
Many behavioral activities of the horseshoe crab Limulus are rhythmic, and most of these are produced in large part by central pattern generators within the CNS. The chain of opisthosomal (‘abdominal') ganglia con... Many behavioral activities of the horseshoe crab Limulus are rhythmic, and most of these are produced in large part by central pattern generators within the CNS. The chain of opisthosomal (‘abdominal') ganglia controls gill movements of ventilation and gill cleaning, and the prosomal ring of fused ganglia (brain and segmental ‘thoracic' ganglia) controls generation of feeding and locomotor movements of the legs. Both the opisthosomal CNS and the prosomal CNS can generate behaviorally ap- propriate patterns of motor output in isolation, without movements or sensory input. Preparations of the isolated opisthosomal CNS generate rhythmic output patterns of motor activity characterized as fictive ventilatory and gill cleaning rhythms. Moreover, CNS preparations also express longer-term patterns, such as intermittent ventilation or sequential bouts of ventilation and gill cleaning. Such longer-term patterns are commonly observed in intact animals. The isolated prosomal CNS does not spontaneously generate the activity patterns characteristic of walking, swimming, and feeding. However, perfusion of octopamine in the isolated prosomal CNS activates central pattern generators underlying rhythmic chewing movements, and injection of octopamine into in- tact Limulus promotes the chewing pattern of feeding, whether or not food is presented. Our understanding of the ability of neu-romodulators such as octopamine to elicit or alter central motor programs may help to clarify the central neural circuits of pattern generation that oroduce and coordinate these rhythmic behaviors 展开更多
关键词 LIMULUS Rhythmic behavior Central nervous system Central pattern generator FEEDING RESPIRATION
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部