检索结果-内蒙古大学图书馆

Youth Academic Annual Conference of Chinese Association of automation (YAC)

作者： Jiangjiang Liu Biao Luo Pengfei Yan Ding Wang Derong Liu School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781538629024

Recurrent neural networks and their variants have received huge success in many difficult tasks, such as handwriting recognition and generation, natural language processing, acoustic modeling of speech, and so on. As a kind of recurrent neural network architectures, the long short-term memory (LSTM) has attracted great attention. Most research works focus on its structures, training algorithms and topology structures. As an improvement to the structure of LSTM, a reward/punishment strategy is developed for LSTM in this paper, which we call RP-LSTM. In RP-LSTM, a reward/punishment (RP) strategy is proposed to evaluate its memory cells' memorization such that it improves its efficiency by forgetting more reasonably. Analysis of properties of the developed RP-LSTM is conducted from the neuroscience aspect. To test the performance of the developed RP-LSTM, comparative simulation studies are conducted on three structures, i.e., LSTM, LSTM with forget gate (LSTM-FG) and RP-LSTM. Simulation results on sentiment analysis model and sequence to sequence model demonstrate that RP-LSTM achieves better performance.

关键词： Logic gates Mathematical model Training Memory management Recurrent neural networks Speech Neuroscience

来源：评论

学校读者我要写书评

暂无评论

Downhole-Friction-Estimation-Based Rotary Speed control for Drillstring System with Stick-Slip Vibrations

Downhole-Friction-Estimation-Based Rotary Speed Control for ...

引用

Asian control Conference

作者： Chengda Lu Min Wu Xin Chen Weihua Cao Chao Gan Jinhua She School of Software and Electrical Engineering Swinburne University of Technology Melbourne Vic Australia School of Automation Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China School of Engineering Tokyo University of Technology Hachioji Tokyo Japan

ISBN: (纸本)9781509015740;9781509015733

In a drilling process, stick-slip vibrations are one of the main resources resulting in unstable motions or drillstring failures. In this paper, combined with a LuGre bit-rock interaction, the drillstring system is modeled as lumped parameters to capture the main features of stick-slip vibrations. Then, a novel control configuration involving five modules is developed in order to track a desired speed while suppressing the vibration, where the equivalent-input-disturbance method is skilfully employed to suppress such vibrations. In such five modules, the state observer is combined with the friction estimator to obtain the equivalent friction torques, which are corresponding to downhole frictions, on the surface control platform. In addition, the internal model and the state feedback are utilized to get the speed tracking torques so as to guarantee the desired tracking precision. Based on the dual conversion and two quadratic performances, the closed-loop stability is guaranteed by appropriate design of the controller and observer's gain matrices. Simulation is conducted to compare our method with an LQR method, showing our method's superiority and effectiveness.

关键词： Friction Vibrations Observers Torque State feedback

来源：评论

学校读者我要写书评

暂无评论

Convergence Analysis of Quantized Iterative Learning control Using Lifting Representation 35

Convergence Analysis of Quantized Iterative Learning Control...

引用

第35届中国控制会议

作者： Xu Piaopiao Bu Xuhui Hou Zhongsheng School of Electrical Engineering & Automation Henan Polytechnic University Advanced Control Systems Lab. School of Electronics and Information EngineeringBeijing Jiaotong University

ISBN: (纸本)9781509009107

This paper considers the convergence of iterative learning control(ILC) for discrete time systems with data quantization. Two iterative learning control schemes are proposed by using the system output quantized signal and tracking error quantized signal. Based on the super-vector formulation of the ILC systems, the convergence conditions for the two iterative learning control schemes are given respectively. It is shown that the ILC law with system output quantized signal only make the tracking error converge to a bound, thus the ILC law with tracking error quantized signal can obtain zero tracking error. The results are illustrated by a numerical example.

关键词： iterative learning control super-vector formulation data quantization discrete time system

来源：评论

学校读者我要写书评

暂无评论

Iterative Learning control Based Phase Splits Strategy for Oversaturated Urban Traffic Network 35

Iterative Learning Control Based Phase Splits Strategy for O...

引用

第35届中国控制会议

作者： JIN Shangtai HOU Zhongsheng CHI Ronghu WANG Danwei BU Xuhui Advanced Control Systems Laboratory of the School of Electronic and Information Engineering Beijing Jiaotong University School of Automation and Electrical Engineering Qingdao University of Science and Technology EXQUISITUS Centre for E-CitySchool of Electrical & Electronic EngineeringNanyang Technological University School of Electrical Engineering & Automation Henan Polytechnic University

ISBN: (纸本)9781509009107

An iterative learning control(ILC) based phase splits strategy is proposed for oversaturated urban traffic network by exploiting the repetitive pattern of the traffic flows. First, an improved time-varying store and forward model with unknown saturation flows, turning ratios, and traffic demands is proposed to describe the urban traffic dynamics. Then, by formulating the control problem as phase splits problem of all junctions in the network, ILC based phase splits strategy is designed to find control input signals(phase splits) such that output signals(actual traffic density of each link) in the network track the desired one. The ILC based phase splits strategy with control input constraints is further designed and analyzed to highlight the applicability of phase splits methods.

关键词： Iterative Learning control Signal Splits Traffic Network control input Constrains

来源：评论

学校读者我要写书评

暂无评论

Distributed computation of linear matrix equations: An optimization perspective

arXiv

引用

arXiv 2017年

作者： Zeng, Xianlin Liang, Shu Hong, Yiguang Chen, Jie Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China Ministry of Education Beijing100081 China

This paper investigates the distributed computation of the well-known linear matrix equation in the form of AXB = F, with the matrices A, B, X, and F of appropriate dimensions, over multiagent networks from an optimization perspective. In this paper, we consider the standard distributed matrix-information structures, where each agent of the considered multi-agent network has access to one of the sub-block matrices of A, B, and F. To be specific, we first propose different decomposition methods to reformulate the matrix equations in standard structures as distributed constrained optimization problems by introducing substitutional variables;we show that the solutions of the reformulated distributed optimization problems are equivalent to least squares solutions to original matrix equations;and we design distributed continuous-time algorithms for the constrained optimization problems, even by using augmented matrices and a derivative feedback technique. Moreover, we prove the exponential convergence of the algorithms to a least squares solution to the matrix equation for any initial condition. Copyright © 2017, The Authors. All rights reserved.

关键词： Continuous time systems

来源：评论

学校读者我要写书评

暂无评论

A Novel Adaptive Iterative Learning control via Data-driven Approach 35

A Novel Adaptive Iterative Learning Control via Data-driven ...

引用

第35届中国控制会议

作者： CHI Ronghu LIU Xiaohe HOU Zhongsheng CHIEN Chiang-Ju School of Automation & Electrical Engineering Qingdao University of Science & Technology Advanced Control Systems Lab School of Electronics & Information EngineeringBeijing Jiaotong University Department of Electronic Engineering Huafan University

ISBN: (纸本)9781509009107

A novel adaptive ILC approach is proposed for the control tasks of tracking iteration-varying desired trajectory. The output the controlled system is reformulated as a function of initial states and control inputs only. Then, an iteration-dynamical linearization is proposed for the controlled system. With the identical initial conditions, the system output is finally formulated by the input series only. Then, a learning control law is designed according to the iteration dynamical linearization, where the unknown system parameter is estimated by an iterative updating law. Simulation study confirms the efficiency and application of the proposed method.

关键词： Adaptive ILC Iteration-varying reference trajectory Dynamical linearization Data-driven control

来源：评论

学校读者我要写书评

暂无评论

Noise-induced synchronization of Hegselmann-Krause dynamics in full space

arXiv

引用

arXiv 2017年

作者： Su, Wei Guo, Jin Chen, Xianzhong Chen, Ge School of Automation and Electrical Engineering University of Science and Technology Beijing Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education Beijing100083 China National Center for Mathematics and Interdisciplinary Sciences Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China

The Hegselmann-Krause (HK) model is a typical self-organizing system with local rule dynamics. In spite of its widespread use and numerous extensions, the underlying theory of its synchronization induced by noise still needs to be developed. In its original formulation, as a model first proposed to address opinion dynamics, its state-space was assumed to be bounded, and the theoretical analysis of noise-induced synchronization for this particular situation has been well established. However, when system states are allowed to exist in an unbounded space, mathematical difficulties arise whose theoretical analysis becomes non-trivial and is as such still lacking. In this paper, we completely resolve this problem by exploring the topological properties of HK dynamics and by employing the theory of independent stopping time. The associated result in full statespace provides a solid interpretation of the randomness-induced synchronization of self-organizing systems. Copyright © 2017, The Authors. All rights reserved.

关键词： Dynamics

来源：评论

学校读者我要写书评

暂无评论

Robust fragmentation modeling of hegselmann-krause-type dynamics

arXiv

引用

arXiv 2017年

In opinion dynamics, how to model the enduring fragmentation phenomenon (disagreement, cleavage, and polarization) of social opinions has long possessed a central position. It is widely known that the confidence-based opinion dynamics provide an acceptant mechanism to produce fragmentation phenomenon. In this study, taking the famous confidence-based Hegselmann-Krause (HK) model, we examine the robustness of the fragmentation coming from HK dynamics and its variations with prejudiced and stubborn agents against random noise. Prior to possible insightful explanations, the theoretical results in this paper explicitly reveal that the well-appearing fragmentation of HK dynamics and its homogeneous variations finally vanishes in the presence of arbitrarily tiny noise, while only the HK model with heterogenous prejudices displays a solid cleavage in noisy environment. Copyright © 2017, The Authors. All rights reserved.

关键词： Dynamics

来源：评论

学校读者我要写书评

暂无评论

A beam flexure-based nanopositioning stage supporting laser direct-write nanofabrication

引用

Science China(Physics,Mechanics & Astronomy) 2016年第8期59卷 50-55页

作者： Zhen Zhang Peng Wang Peng Yan YingChun Guan State Key Laboratory of Tribology and Institute of Manufacturing Engineering Department of Mechanical EngineeringTsinghua University Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipments and Control Tsinghua University State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Key Laboratory of High-efficiency and Clean Mechanical Manufacture Ministry of Education School of Mechanical EngineeringShandong University School of Automation Science and Electrical Engineering Beihang University School of Mechanical Engineering and Automation Beihang University

A nanopositioning system of both millimetric stroke and nanometric tracking accuracy is a key component for nanofabrication in many applications. In this paper, a novel bi-axial beam-flexure nano servo stage is proposed to support a direct writing system for femtosecond laser nanofabrication. The important features of the stage lie in: a mirror symmetric instead of rotational symmetric configuration is adopted to restrict cross axis coupling, and a novel Z-shaped guidance module is proposed to achieve relative large linear stiffness range, in addition a redundant constraints module is introduced to increase off-axis stiffness of the stage. Mechanical analysis and system identification are provided, with which a feedback control algorithm demonstrates the tracking capability for laser fabrication purposes. Based on the fabricated XY nano-stage, real time control and measurements are deployed, demonstrating the millimetric operating workspace and 77.8 nm(RMS) error of tracking a circular trajectory.

关键词： laser nanofabrication direct writing servo and control system

来源：评论

学校读者我要写书评

暂无评论

Conflict between energy, stability and robustness in production schedules

Conflict between energy, stability and robustness in product...

引用

IEEE International Conference on automation Science and engineering (CASE)

作者： Nina Sundström Oskar Wigström Bengt Lennartson Nina Sundstrom Oskar Wigstrom Chalmers tekniska hogskola Goteborg SE Automation Research Group Division of Systems and Control Department of Electrical Engineering Chalmers University of Technology Horsalsvgen 9-11 plan 5-7 Gothenburg 412 96 Sweden

A systematic method to evaluate the conflict between robustness, stability and energy consumption is proposed in this paper. Energy optimization is combined with robust scheduling techniques to analyze the trade-off. In rescheduling, slack is often used to protect a schedule from disruptions. However, results from the literature on energy minimization show that a reduction in energy consumption is achieved by extending the execution time of operations. Thus, slack in schedules is diminished on behalf of longer execution times. The proposed method, which quantitatively shows this conflict, is based on a multi-objective optimization formulation where efficient computation of the involved criteria are developed. This includes a convex surrogate stability measure that makes it possible to evaluate different operation sequences by a mixed-integer nonlinear programming formulation. Previous work connecting the two research fields use simulation for analyzing the impact of disruptions in order to generate robust production schedules. Our results show that an increase in energy efficiency comes at a cost of reducing stability and robustness and hence becoming more sensitive to disruptions.

关键词： Schedules automation Stability criteria Robustness Production control systems

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：