检索结果-内蒙古大学图书馆

Approach and landing guidance design for reusable launch vehicle using multiple sliding surfaces technique

Chinese Journal of Aeronautics 2017年第4期30卷 1582-1591页

作者： Xiangdong LIU Fengdi ZHANG Zhen LI Yao ZHAO School of Automation Beijing Institute of Technology Beijing 100081 China National Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing100081 China China Academy of Launch Vehicle Technology Beijing 100076 China

An autonomous approach and landing（A＆L） guidance law is presented in this paper for landing an unpowered reusable launch vehicle（RLV） at the designated runway touchdown. Considering the full nonlinear point-mass dynamics, a guidance scheme is developed in threedimensional space. In order to guarantee a successful A＆L movement, the multiple sliding surfaces guidance（MSSG） technique is applied to derive the closed-loop guidance law, which stems from higher order sliding mode control theory and has advantage in the finite time reaching *** global stability of the proposed guidance approach is proved by the Lyapunov-based *** designed guidance law can generate new trajectories on-line without any specific requirement on off-line analysis except for the information on the boundary conditions of the A＆L phase and instantaneous states of the RLV. Therefore, the designed guidance law is flexible enough to target different touchdown points on the runway and is capable of dealing with large initial condition errors resulted from the previous flight phase. Finally, simulation results show the effectiveness of the proposed guidance law in different scenarios.

关键词： Finite time control Landing guidance Lyapunov stability Reusable launch vehicle Sliding mode control

来源：评论

学校读者我要写书评

暂无评论

An Improved Equivalent-Input-Disturbance Approach for Disturbance-Rejection Using High-Gain Observer

An Improved Equivalent-Input-Disturbance Approach for Distur...

引用

第37届中国控制会议

作者： Youwu Du Weihua Cao Jinhua She Mingxing Fang Zibao Lu School of Automation China University of Geosciences College of Physics and Electronic Information Anhui Normal University Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Engineering Tokyo University of Technology

An improved equivalent-input-disturbance(EID) approach is presented in this paper to promote the transient performance of disturbance rejection in the control system. A high-gain observer(HGO) is introduced to the conventional EID method to accelerate the convergence of state error. This makes the estimated disturbance tracking the exogenous disturbance more quickly and more precisely. First, the configuration of an improved EID-based control system is described. Then, a sufficient stability condition is derived in terms of a linear matrix inequality(LMI). The resulting LMI is used to find the gains of state observer and state feedback controller. Finally, the validity of the devised method and its superiority over a conventional EID method is demonstrated through the simulation of a numerical example.

关键词： Disturbance rejection disturbance estimation equivalent input disturbance（EID） high-gain observer linear matrix inequality（LMI）

来源：评论

学校读者我要写书评

暂无评论

Street Object Detection Based on Faster R-CNN

Street Object Detection Based on Faster R-CNN

引用

Chinese control Conference

作者： Wendi Cai Jiadie Li Zhongzhao Xie Tao Zhao Kang Lu Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P. R. china The Library of Wuhan University of Technology Wuhan P. R. China

With the increased number of traffic accidents, the research and development of smart cars have been promoted. The detection of street objects has become one of the important research topics. Generic Model detection algorithm based on Convolution Neural Network(CNN) need to design the training model, while the training and testing of the model will take a lot of time. Transfer Learning is used to fine-tune the pre-trained models, using the Image task datasets of COCO, transferring a generic deep learning model to specific one with different weights and outputs. Furthermore, the CNN structure is adjusted to improve overall performance, and the street environment is trained to the special scene. We compare the results of experiments, and the results showed that the network which is fine-tuned is effective.

关键词： Object detection Computer vision Training Proposals Machine learning Automobiles Convolution

来源：评论

学校读者我要写书评

暂无评论

Optimal Consensus control of Unknown Nonlinear Multi-Agent systems Using Adaptive Dynamic Programming via MRAC

Optimal Consensus Control of Unknown Nonlinear Multi-Agent S...

引用

Chinese control Conference (CCC)

作者： Hao Fu Xin Chen Wei Wang Jinbin Li Yaodong Zhang Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P. R. China State Grid Hubei Electric Power Research Institute Wuhan P. R. China

This paper introduces an optimal consensus control scheme for nonlinear multi-agent systems with completely unknown dynamics. In general, it is difficult to solve the coupled Hamilton-Jacobi-Bellman (HJB) equations, which the optimal consensus control relies on in multi-agent systems, especially unknown nonlinear systems. For the purpose of solving the problem, we propose an optimal consensus control approach based on the model reference adaptive control (MRAC) and adaptive dynamic programming (ADP). Using the structure of the diagonal recurrent neural network, the identifier and controller are devised to achieve MRAC for every plant of the unknown nonlinear systems, i.e. the reference model serves as a dynamic model of each individual agent. Then, according to reference models of distributed agents, an adaptive dynamic programming (ADP) is introduced to approximate the solution of the coupled HJB equations.

关键词： Multi-agent systems Mathematical model Adaptation models Heuristic algorithms Recurrent neural networks Dynamic programming

来源：评论

学校读者我要写书评

暂无评论

intelligent coordinating control between burn-through point and mixture bunker level in an iron ore sintering process

Intelligent coordinating control between burn-through point ...

引用

作者： Du, Sheng Wu, Min Chen, Xin Lai, Xuzhi Cao, Weihua School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems No. 388 Lumo Road Hongshan District Wuhan Hubei430074 China

Sintering is a process that involves complex physical and chemical reactions. An intelligent coordinating control strategy is proposed for the strong coupling between the burn-through point (BTP) and the mixture bunker level (MBL). First, an intelligent integrated controller is established for the BTP by fusing the neural network, expert rules, and fuzzy logic. Moreover, an expert controller is designed for the MBL based on expert rules using the analysis of the main factors that affect the MBL. Furthermore, by employing the soft switching control algorithm, an intelligent coordinating controller for the BTP and the MBL is designed. The optimal operation parameters are obtained from the algorithm, which realize the multi-objective control of the sintering process. Finally, a simulation and an experiment of the intelligent coordinating control between the BTP and the MBL are carried out, where the models of the BTP and the MBL are the Takagi-Sugeno (T-S) fuzzy model and the linear model, respectively. And the results show that the proposed approach is feasible and effective.

关键词： Mixtures

来源：评论

学校读者我要写书评

暂无评论

Stability and Neimark-Sacker bifurcation analysis for single gene discrete system with delay

Stability and Neimark-Sacker bifurcation analysis for single...

引用

Chinese control Conference

作者： Feng Liu Qicheng Mei Fenglan Sun Xinmei Wang Hua O. Wang Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China School of Automation China University of Geosciences Wuhan China Research Center of System Theory and Application Chongqing University of Posts and Telecommunications Chongqing China Department of Mechanical Engineering Boston University Boston MA USA

The network structure and functional properties of gene regulatory system and their relationships arc an important research field in systems biology. In this paper, a new improved model is proposed based on the study of gene expression process. The model takes into account the effect of protein concentration on the gene expression, so as to obtain a new bifurcation point and improve the performance of the system. The validity of the model is verified by theoretical analysis and data simulation.

关键词： Mathematical model Proteins Stability analysis Bifurcation Biological system modeling Delays RNA

来源：评论

学校读者我要写书评

暂无评论

An approach of joint-space trajectory generation 5

An approach of joint-space trajectory generation

引用

5th International Workshop on advanced Computational Intelligence and intelligent Informatics, IWACIII 2017

作者： Chen, Xin Jiang, Chen-Xu Zhou, Li School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Wuhanz430074 China School of Arts and Communication China University of Geosciences Wuhan430074 China

Trajectory generation is a prerequisite for robot control system and is divided into two regions, Cartesian space and joint space. This paper presents an approach to generate the trajectory in joint-space. This method uses normalization and transformation of the sine function to generate the desired trajectory, which is more smooth and continuous than the parabolic method in multiple time derivatives of the joint parameter. Compared with the third order polynomial method, this approach can depress the unacceptable infinite spikes in the jerk, which is the derivative of acceleration. Besides, the using of normalization in this approach is to make it more convenient and efficient be applied.

关键词： Trajectories

来源：评论

学校读者我要写书评

暂无评论

Oil Pipeline Leak Detection Based on Image Recognition

Oil Pipeline Leak Detection Based on Image Recognition

引用

International Conference on Instrumentation, Measurement, Computer, Communication and control (IMCCC)

作者： Xingshu Gu Chuang Wang Northeast Petroleum University Institute of Complex System and Advanced Control Daqing China Northeast Petroleum University Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Daqing China

ISBN: (数字)9781538682463

ISBN: (纸本)9781538682470

This paper studies the design of leak detection design for oil pipeline based on image recognition technology. The basic steps of the process are as follows: Firstly, by using the image processing function of MATLAB software, the oil pipeline images collected are processed, such as preprocessing, image recognition and segmentation, image morphological processing and so on. Finally, the leakage of oil pipeline is judged according to the test results. In the preprocessing part, gray processing is mainly performed, which can speed up the processing and improve the accuracy of recognition. The image segmentation section is selected using threshold segmentation. In the image morphology processing part, the edge contour obtained by the image segmentation part can be more clearly defined by the etching and expansion operation. The final output of the design is divided into three parts, one in which there is no leakage. In the other two cases, when a leak is detected, the degree of leakage is divided into a slight leak and a serious leak, which helps the tester to understand the leak more clearly and improve the practicability of the design.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An improved tiny SLAM method for simultaneous localization and mapping 5

An improved tiny SLAM method for simultaneous localization a...

引用

5th International Workshop on advanced Computational Intelligence and intelligent Informatics, IWACIII 2017

作者： Li, Dan-Yun Liu, Cong-Jun Liu, Zhen-Tao Feng, Zhi-Yong School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Hubei Key Laboratory of Advanced Technology of Automotive Parts Wuhan University of Technology Wuhan430070 China

TinySLAM algorithm is a simple 2D laser SLAM algorithm. However, in practical applications, it has higher error rate of mapping because of its simple filter. In this paper, an improved TinySLAM algorithm is proposed for simultaneous location and mapping. By adding a simple filter before the Monte Carlo simulation and then fusing the information from the odometer, the error in the positioning process can be reduced. Moreover, the introduced hybrid map cell model that can be compatible with ROS system, improves the response to dynamic obstacles, and reduces the mapping error rate further. Simulation using ROS system and Stage software is performed, from which the results show that the proposal has good effects comparing with TinySLAM, and the error rate is reduced so that the map built is closer to the actual environment.

关键词： Mapping

来源：评论

学校读者我要写书评

暂无评论

Deep Forest-Based Classification of Hyperspectral Images

Deep Forest-Based Classification of Hyperspectral Images

引用

Chinese control Conference

作者： Xu Yin Ruilin Wang Xiaobo Liu Yaoming Cai Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P. R. China School of Computer Science China University of Geosciences Wuhan P. R. China

The classification of hyperspectral images (HSIs) is a hot topic in the field of remote sensing technology. In recent years, convolutional neural network (CNN) has achieved great success for HSI classification. However, CNN has to do a great effort in parameters tuning which is time-consuming. Furthermore, a large number of samples are required to train CNN, nevertheless, it is expensive to obtain enough training samples from HSIs. In this paper, we propose a novel classification approach based on deep forest. To reduce the dimension of hyperspectral data, principal component analysis (PCA) is performed during the pre-processing. In contrast to the CNN, our method has fewer hyper-parameters and faster training speed. To the best of our knowledge, this is among the first deep forest-based hyperspectral spectral information classification. Extensive experiments are conducted on two real-world HSI datasets to show the proposed method is significantly superior to the state-of-the-art methods.

关键词： Forestry Hyperspectral imaging Training Principal component analysis Vegetation Radio frequency

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：