检索结果-内蒙古大学图书馆

IEEE Internatonal Conference on Mobile Adhoc and Sensor systems (MASS)

作者： Nan Zhou Xiaoguang Zhao Min Tan Institute of Automation The State Key Lab of Management and Control for Complex System Beijing China

This paper proposes a method of hierarchical WSN deployment and routing for fast localization. Position-known anchor nodes form a static upper-layer network organization and several mobile nodes constitute the lower-layer network which need dynamic message exchange with the upper network. In the upper static network, near-optimal routing table is allocated to each anchor node based on their known-position and the strength of signal for communication during network initialization. Mobile nodes in the lower-layer can access to the upper network dynamically and at the same time report the RSSI value of nearby anchors to the control-center. At the center, the computer will calculate the real-time location of the target based on the reported RSSI and node-IDs. Algorithm presented in this paper is low cast, easy to implement and can be used for fast location estimation and motion tracking indoors and outdoors.

关键词： Routing Wireless sensor networks Mobile nodes Organizations Algorithm design and analysis Indoor environments

来源：评论

学校读者我要写书评

暂无评论

Coupled latent least squares regression for heterogeneous face recognition

Coupled latent least squares regression for heterogeneous fa...

引用

2013 20th IEEE International Conference on Image Processing, ICIP 2013

作者： Xinyuan, Cai Chunheng, Wang Baihua, Xiao Xue, Chen Zhijian, Lv Yanqin, Shi State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Beijing Institute of Science and Technology Information Beijing 100044 China

ISBN: (纸本)9781479923410

One of the most difficult challenges in automatic face recognition is computing facial similarity between two images captured in different modalities, called heterogeneous face recognition. In this paper, we propose a novel method, named as coupled latent least squares regression, to improve the heterogeneous face recognition performance. The basic assumption is that the images of one person captured in different modalities can be viewed as modality-specific transforms of a latent ideal object. We formulate this assumption in the least squares regression framework, so as to learn the coupled transforms for different modalities. In particular, the local consistency information in the each modality is considered as a constraint to improve the generalization. Extensive experiments on two cases of heterogeneous face recognition (visible light vs. near infrared, and photo vs. sketch) validate the efficiency of the proposed method. © 2013 IEEE.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

What is the uniqueness of growth pattern in human flesh search organization?

What is the uniqueness of growth pattern in human flesh sear...

引用

Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2013

作者： Wang, Tao Zhang, Qingpeng Fu, Julei Wang, Xiao Zheng, Suncong College of Information System and Management National University of Defense Technology Changsha 410073 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Systems and Industrial Engineering University of Arizona Tucson AZ United States

ISBN: (纸本)9783642396922

Human Flesh Search is an explosive Web phenomenon these years in China, especially when new media, such as Weibo, appeared. In this research, we present the empirical studies about growing patterns of participated Human Flesh Search user, and unveiled one unique growing property. Based on the empirical findings, we compare it with two others results, one is the common Weibo's growth pattern, and the other is the popularity growth pattern of photo in Flickr. Some differences are proposed and analyzed briefly. © 2013 Springer-Verlag.

关键词： Social networking (online)

来源：评论

学校读者我要写书评

暂无评论

Spatio-temporal EEG data classification in the NeuCube 3D SNN environment: Methodology and examples

Spatio-temporal EEG data classification in the NeuCube 3D SN...

引用

20th International Conference on Neural Information Processing, ICONIP 2013

作者： Kasabov, Nikola Hu, Jin Chen, Yixiong Scott, Nathan Turkova, Yulia Knowledge Engineering and Discovery Research Institute Auckland University of Technology New Zealand State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783642420504

A vast amount of complex spatio-temporal brain data, such as EEG-, have been accumulated. Technological advances in many disciplines rely on the proper analysis, understanding and utilisation of these data. In order to address this great challenge, the paper utilizes the recently introduced by one of the authors 3D spiking neural network environment called NeuCube for spatio-temporal EEG data classification. A methodology is proposed and illustrated on two small-scale examples: classifying EEG data for music- versus noise perception, and person identification based on music perception. Future development and usage of the NeuCube environment can be expected to significantly further the creation of novel brain-computer interfaces, cognitive robotics and medical engineering devices. © Springer-Verlag 2013.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

An FES-assisted training strategy combined with impedance control for a lower limb rehabilitation robot

An FES-assisted training strategy combined with impedance co...

引用

IEEE International Conference on Robotics and Biomimetics

作者： Yixiong Chen Jin Hu Weiqun Wang Liang Peng Long Peng Zeng-Guang Hou State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences

ISBN: (纸本)9781479927456

In order to investigate the feasibility of integrating functional electrical stimulation (FES) with robot-based rehabilitation training, this paper proposes an FES-assisted training strategy combined with impedance control for our self-made exoskeleton lower limb rehabilitation robot. This control strategy is carried out in a leg press task. Through impedance control, an active compliance of the robot is established, and the patient's voluntary effort to accomplish the task is inspired. During the training process, the patient's related muscles are applied with FES which provides an extra assistance to the patient. The intensity of the FES is properly chosen aiming to induce a desired active torque which is proportional to the voluntary effort of the patient. This kind of enhancement serves as a positive feedback which reminds the patient of the correct attempt to fulfill the desired motion. FES control is conducted by a combination of neural network-based feedforward controller and a PD feedback controller. The feasibility of this control strategy has been verified in Matlab.

关键词： Robots Torque Muscles Force Trajectory Joints Impedance

来源：评论

学校读者我要写书评

暂无评论

NeuCubeRehab: A pilot study for EEG classification in rehabilitation practice based on spiking neural networks

NeuCubeRehab: A pilot study for EEG classification in rehabi...

引用

20th International Conference on Neural Information Processing, ICONIP 2013

作者： Chen, Yixiong Hu, Jin Kasabov, Nikola Hou, Zengguang Cheng, Long State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Knowledge Engineering and Discovery Research Institute Auckland University of Technology Auckland New Zealand

ISBN: (纸本)9783642420504

One of the most important issues among active rehabilitation technique is how to extract the voluntary intention of patient through bio-signals, especially EEG signal. This pilot study investigates the feasibility of utilizing a 3D spiking neural networks-based architecture named NeuCube for EEG data classification in the rehabilitation practice. In this paper, the architecture of the NeuCube is designed and a Functional Electrical Stimulation (FES) rehabilitation scenario is introduced which requires accurate classification of EEG signal to achieve active FES control. Three classes of EEG signals corresponding to three imaginary wrist motions are collected and classified. The NeuCube architecture provides promising classification results, which demonstrates our proposed method is capable of extracting the voluntary intention in the rehabilitation practice. © Springer-Verlag 2013.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

A New Self-Learning Optimal control Scheme for Discrete-Time Nonlinear systems Using Policy Iterative Adaptive Dynamic Programming

引用

IFAC Proceedings Volumes 2013年第20期46卷 580-585页

作者： Qinglai Wei Derong Liu The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

In this paper, a new self-learning method using policy iterative adaptive dynamic programming (ADP) is developed to obtain the optimal control scheme of discrete-time nonlinear systems. The iterative ADP algorithm permits an arbitrary admissible control law to initialize the iterative algorithm. It is the first time that the properties of the policy iterative ADP are established for the discrete-time situation. It proves that the iterative performance index function is non-increasingly convergent to the optimal solution of the Hamilton-Jacobi-Bellman (HJB) equation. It also proves that any of the iterative control policy can stabilize the nonlinear systems. Neural networks are used to approximate the performance index function and compute the optimal control policy, respectively, for facilitating the implementation of the iterative ADP algorithm. Finally, a simulation example is given to illustrate the performance of the present method.

关键词： Adaptive Dynamic Programming Approximate Dynamic Programming Nonlinear system Optimal control Policy Iteration Neural Networks Reinforcement Learning

来源：评论

学校读者我要写书评

暂无评论

Adaptive Dynamic Programming for Solving Non-Zero-Sum Differential Games

引用

IFAC Proceedings Volumes 2013年第20期46卷 586-591页

作者： Hongliang Li Derong Liu Ding Wang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

In this paper, a novel adaptive dynamic programming algorithm based on policy iteration is developed to solve online multi-player non-zero-sum differential game for continuous-time nonlinear systems. This algorithm is mathematically equivalent to the quasi-Newton's iteration in a Banach space. The implementation using neural networks is given, where a critic neural network is used to learn its value function, and an action neural network sharing the same parameters with the corresponding critic neural network is used to learn its optimal control policy for each player. All the critic and action neural networks are updated online in real-time and continuously. A simulation example is presented to demonstrate the effectiveness of the developed scheme.

关键词： Adaptive Dynamic Programming Learning control Adaptive control Neural Networks Differential Games Stability

来源：评论

学校读者我要写书评

暂无评论

Neuro-Optimal control of Unknown Nonaffine Nonlinear systems with Saturating Actuators

引用

IFAC Proceedings Volumes 2013年第20期46卷 574-579页

作者： Xiong Yang Derong Liu Qinglai Wei The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

This paper develops an adaptive optimal control for the infinite-horizon cost of unknown nonaffine nonlinear continuous-time systems with control constraints. A recurrent neural network (NN) is constructed to identify the unknown system dynamics with stability proof. Then, two feedforward NNs are used as the actor and the critic to approximate the optimal control and the optimal value, respectively. By using this architecture, the action NN and the critic NN are tuned simultaneously, without the requirement of the knowledge of system dynamics. In addition, the weights of the action NN and the critic NN are guaranteed to be uniformly ultimately bounded based on Lyapunov's direct method. A simulation example is provided to verify the effectiveness of the developed theoretical results.

关键词： Actuator saturation Adaptive control Neural networks Nonaffine systems Optimal control Unknown nonlinear systems

来源：评论

学校读者我要写书评

暂无评论

Direct adaptive output feedback control for MIMO uncertain nonlinear discrete-time systems based on neural networks

Direct adaptive output feedback control for MIMO uncertain n...

引用

Chinese control Conference (CCC)

作者： Xiong Yang Derong Liu Ding Wang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

This paper develops a novel neural-network-based direct adaptive control scheme for a class of multi-input-multi-output uncertain nonlinear discrete-time (DT) systems in the presence of unknown bounded disturbances. By employing feedback linearization methods, neural network (NN) approximation can cancel the nonlinearity of the DT systems. Meanwhile, the weights of NNs are directly updated online instead of preliminary offline training. In addition, unlike most literatures, the condition for persistent excitation is removed. Based on Lyapunov's direct method, both tracking errors and weight estimates are guaranteed to be uniformly ultimately bounded, while keeping the closed-loop system stable. Finally, an example is provided to demonstrate the effectiveness of the proposed approach.

关键词： Artificial neural networks Nonlinear systems Vectors Adaptive control Trajectory MIMO

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：