检索结果-内蒙古大学图书馆

第三十四届中国控制会议

作者： Tian Qi Jie Chen Weizhou Su Minyue Fu School of Automation Science and Engineering South China University of Technology Department of Electronic Engineering City University of Hong Kong School of Electrical and Computer Engineering University of Newcastle State Key Laboratory of Industrial Control Technology and Department of Control Science and Engineering Zhejiang University

ISBN: (纸本)9781467374439

The purpose of this paper is to study stabilization problem of linear time-invariant systems subject to stochastic multiplicative uncertainties and time delays. We consider a structured multiplicative perturbation which consists of static, zero-mean stochastic processes and we assess the stability of system based on mean-square criteria. The mean-square stabilization problem for multi-input multi-output systems generally requires solving an optimization problem involving the spectral radius of a certain closed loop transfer function matrix. This problem in general is non-convex and by and large unresolved, only approximate solutions are available based on numerical algorithms resembling to the D-K iteration for μ-synthesis. Our main contributions include the fundamental conditions, both necessary and sufficient, which insure that the multi-input multi-output minimum phase systems can be stabilized by output feedback in the mean-square sense. We provide a complete, computationally efficient solution in the form of a generalized eigenvalue problem readily solvable by means of linear matrix inequality optimization. For conceptual insights, limiting cases are analyzed in depth to characterize and quantify explicitly how the directions of unstable poles may affect the mean-square stabilizability of multi-input multi-output systems.

关键词： Mean square stability and stabilization,constant time-delay,stochastic multiplicative uncertainty

来源：评论

学校读者我要写书评

暂无评论

Fuzzy Inference Algorithm based on Quantitative Association Rules

引用

Procedia Computer Science 2015年 61卷 388-394页

作者： Ling Wang Ji-Yuan Dong Shu-Lin Li School of Automation & Electrical Engineering University of Science and Technology Beijing 100083 China Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) Beijing 100083 China

In order to develop a data mining system to extract the fuzzy inference rules from the data, in this paper a fuzzy inference algorithm based on quantitative association rule (FI-QAR) is proposed. First, a discretization algorithm based on an improved clustering for each dimension data is adopted, and then the quantitative results are represented in the form of a Nominal variables matrix to compute the support and confidence level in the Apriori algorithm for quantitative association rules mining. On the basis of this, the quantitative association fuzzy rules are reconstructed by combing with TS fuzzy model to realize fuzzy inference, which can be applied to predict the output class and precise output. Experiment results demonstrated that the proposed algorithm is feasible and practical.

关键词： quantitative association rules apriori algorithm discretization TS fuzzy rules

来源：评论

学校读者我要写书评

暂无评论

Robust Adaptive control Design for Rotorcraft Unmanned Aerial Vehicles Based on Sliding Mode Approach

引用

Transactions of Tianjin University 2014年第6期20卷 393-401页

作者：郭建川鲜斌 Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and AutomationTianjin University

This paper presents a nonlinear robust control design method for a generic rotorcraft unmanned aerial vehicle(RUAV). The control objective is to let the RUAV track some pre-defined time-varying position and heading trajectories. The proposed controller employs feedback linearization process to realize the dynamic decoupling control and applies adaptive sliding mode control to compensate for the parametric uncertainties and external disturbances. The global asymptotical stability is proved via stability analysis. Compared with the cascaded controller, the proposed controller demonstrates a superior tracking performance and robustness through numerical simulation in the presence of parametric uncertainties and unknown disturbances.

关键词： rotorcraft unmanned aerial vehicle (RUAV) nonlinear robust control sliding mode control parametricuncertainty wind gust disturbance

来源：评论

学校读者我要写书评

暂无评论

A computational system for trajectory tracking and 3D positioning of multiple UAVs 2

A computational system for trajectory tracking and 3D positi...

引用

2014 Joint Conference on 2nd SBR Brazilian Robotics Symposium, 11th LARS Latin American Robotics Symposium and 6th Robocontrol Workshop on Applied Robotics and automation, SBR LARS Robocontrol 2014

作者： Santana, Lucas Vago Brandao, Alexandre Santos Filho, Mario Sarcinelli Carelli, Ricardo Graduate Program on Electric Engineering Federal University of Espírito Santo VitóriaES Brazil Department of Industrial Automation Federal Institute of Espírito Santo LinharesES Brazil Department of Electrical Engineering Federal University of Viçosa ViçosaMG Brazil Institute of Automatics National University of San Juan San Juan Puerto Rico

ISBN: (纸本)9781479967117

This paper presents a computational system to perform, simultaneously, the control of th 3D position and trajectory of two commercial unmanned aerial vehicles (UAVs), the Parrot AR. Drone quad copter. The developed system runs in a main computer, allowing the automatic control of the vehicles in flight missions. In this work, are presented the experimental platform, the mathematical and the computational techniques used to achieve the experimental results. Finally, experiments demonstrate the effectiveness of the proposed control system. © 2014 IEEE.

关键词： Commercial vehicles

来源：评论

学校读者我要写书评

暂无评论

Icing sensor on the overhead powerlines wires

Icing sensor on the overhead powerlines wires

引用

International Conference on Computational Problems of electrical engineering (CPEE)

作者： Oleksandr Kozlovskyi Dmitro Trushakov Serhiy Rendzinyak Faculty of Automation and Power Engineering Kirovograd National Technical University Kirovograd Ukraine Institute of Electrical Power Engineering and Control Systems Lviv Polytechnic National University Lviv Ukraine

In systems intended for icing diagnosis on overhead power lines in exploitation conditions the imperfect icing sensors are used on their wires. Their parameters are different from parameters of controlled wires. The construction of icing sensor was developed based on overhead power lines with uninsulated wires of A, AC types. The threshold values of the ohmic resistance of the sensor were determined for two types of ice-hoarfrost sediments: rime and ice. It is proved that sensor length may be reduced and precision of measurement will be the same. It can be achieved by increasing of the subsidiary electrodes number at equality of central angles between them. It is proposed to use the sensor in systems of technical diagnosis at the early stage of the ice appearing.

关键词： Decision support systems Yttrium

来源：评论

学校读者我要写书评

暂无评论

Granger Causality Analysis in the Neural Mass Model

Granger Causality Analysis in the Neural Mass Model

引用

第三十四届中国控制会议

作者： Li Liang Bin Deng Jiang Wang Ruofan Wang Xile Wei Haitao Yu Yingmei Qin Chen Yang School of Electrical Engineering and Automation Tianjin University Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin University of Technology and Education

ISBN: (纸本)9781467374439

The study of brain functional connectivity has become an important aspect of neuroscience. With the development of different methods to detect functional connectivity, the neural mass model based on physiology provides a basis for validating methods. As a popular method of discovering functional connectivity, Granger causality is applied to many fields of neurophysiology, but the mapping between Granger causality and coupling strength of neural mass model is unclear. To explore this relationship, we make a simulation to change the coupling strength of a double-column mass model, and calculate the corresponding Granger causality value. It is found that Granger causality and coupling strength has a relationship but nonlinear.

关键词： neural mass model Granger causality coupling strength

来源：评论

学校读者我要写书评

暂无评论

Adaptive Model-Based Event-Triggered control for Linear Systems

Adaptive Model-Based Event-Triggered Control for Linear Syst...

引用

第三十四届中国控制会议

作者： Hao Yu Fei Hao The Seventh Research Division School of Automation Science and Electrical Engineering Beihang University Science and Technology on Aircraft Control Laboratory Beihang University

ISBN: (纸本)9781467374439

This paper investigates the problem to design the adaptive model-based event-triggered control for linear systems. To deal with the parameter differences between the plant and the model, an adaptation mechanism is introduced to the model-based event-triggered control systems. Based on the separation property of model-based event-triggered control, the problem is divided into two independent parts, i.e.,(i) the design of controller gain matrix and event condition, and(ii) the design of adaptation *** the methods are proposed to solve these two independent parts, which guarantee both the asymptotic stability of systems and the reduction of parameter differences between the plant and the model. Finally, a numerical example is provided to illustrate the efficiency and feasibility of the obtained results.

关键词： Networked control systems,event-triggered control,model-based control,adaptive control

来源：评论

学校读者我要写书评

暂无评论

control method and applications of robust trajectory linearization via nonlinear differentiators

引用

Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics 2015年第7期41卷 1259-1268页

作者： Shao, Xingling Wang, Honglun Zhang, Huiping Zhang, Xiaofeng School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics Beijing100191 China Science and Technology on Aircraft Control Laboratory Beijing University of Aeronautics and Astronautics Beijing100191 China Beijing Aerospace Automatic Control Institute Beijing100854 China

Considering the lack of enough robustness against uncertainties in conventional trajectory linearization control (TLC) method, an improved robust control method was proposed, based on the design principle of nonlinear differentiators. Firstly, via introducing the concept of second-order linear differentiator (SOLD), it was indicated that peaking phenomenon which was similar with using high-gains in SOLD would emerge during the transient profile of differentiation of the nominal command in the existing TLC. And then, tracking differentiator (TD) was used to produce the nominal command and its derivative, peaking phenomenon was totally eliminated and the ability of adjusting the response speed of closed-loop system under the physical limitations was endowed simultaneously. Secondly, by constructing the desired tracking error dynamics of closed-loop system, the control law of the linear time-varying (LTV) system could be directly obtained, PD-spectrum theorem and real time tuning of the time varying bandwidth (TVB) of TLC were both avoided. Meanwhile, by utilizing the non-perturbation form of hybrid differentiator (HD) as the desired error dynamics of closed-loop system, the robustness of the system was thus enhanced. In addition, the boundedness of the tracking error in interference system was proved by Lyapunov theory. Finally, the proposed method was applied to the attitude tracking problem of hypersonic vehicle. The simulation results demonstrate the proposed method can still exhibit better control performance and anti-interference capability even if there exist large uncertainties in the aerodynamic parameters, thus the effectiveness and robustness of the control scheme is validated. ©, 2015, Beijing University of Aeronautics and Astronautics (BUAA). All right reserved.

关键词： Robust control

来源：评论

学校读者我要写书评

暂无评论

Estimation of Unknown Multi-Sinusoidal Disturbance Using Delay-Dependent Observer

Estimation of Unknown Multi-Sinusoidal Disturbance Using Del...

引用

第三十四届中国控制会议

作者： Xinyu Wen Jinmeng Ma Lei Guo Peng Yan School of Electronic Information Engineering Taiyuan University of Science and Technology Science and Technology on Aircraft Control Laboratory Beihang University School of Automation Sciences and Electrical Engineering Beihang University

ISBN: (纸本)9781467374439

A disturbance estimation approach is presented for a class of nonlinear systems subject to multiple-sinusoidal disturbances with unknown frequencies. The auxiliary observer yields an disturbance representation in a parametric uncertainty form. Furthermore,the unknown parameters can be reduced to a constant vector, the dimension of which is the same as the number of sinusoidal component. Then a delay-dependent observer is designed to approach the disturbance precisely. This result can be generalized to the case of nonlinear uncertain systems in disturbance observer-based control(DOBC) frame. Simulations on a single-link robotic manipulator demonstrate the advantages of the proposed scheme.

关键词： multi-sinusoidal,nonlinear systems,disturbances observer

来源：评论

学校读者我要写书评

暂无评论

Sensitivity matrix construction based on ultrasound modulation for electrical resistance tomography

Sensitivity matrix construction based on ultrasound modulati...

引用

IEEE International Workshop on Imaging Systems and Techniques (IST)

作者： Xizi Song Yanbin Xu Feng Dong Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin P.R. China

Image reconstruction of electrical resistance tomography (ERT) is an inherently nonlinear inverse problem. Sensitivity matrix is widely adopted to make this inverse problem to be a linear one. Usually, the sensitivity matrix employed is calculated under a uniform conductivity distribution. However, it is different from the sensitivity matrix of the measured object with inclusions, and the difference between them affects the quality of reconstructed image. Aiming at improving the resolution of reconstructed images, a novel way of constructing the sensitivity matrix is proposed based on ultrasound modulation. With focused ultrasound perturbing the measured object, the conductivity in each focal region will be altered according to the acousto-electric effect. Measuring the boundary voltage change with the corresponding change of the conductivity, then the sensitivity matrix of the measured object will be approximately constructed. The sensitivity matrices constructed based on the ultrasound modulation and on the Geselowitz's sensitivity theorem are presented and analyzed. With the proposed construction method, sensitivity matrix is more sensitive to the inclusion, even in the center of the measured object. Besides, image reconstruction is carried out by sensitivity algorithm using these two kinds of sensitivity matrix. Simulation results indicate that the reconstructed images with higher quality can be obtained with sensitivity matrix constructed based on the ultrasound modulation.

关键词： Sensitivity Image reconstruction Ultrasonic imaging Conductivity Modulation Ultrasonic variables measurement Conductivity measurement

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：