首页期刊导航|控制理论与技术（英文版）
期刊信息/Journal information
控制理论与技术（英文版）
控制理论与技术（英文版）

陈翰馥

季刊

2095-6983

aukzllyy@scut.edu.cn

020-87111464

510640

广州市五山华南理工大学内

控制理论与技术（英文版）/Journal Control Theory and TechnologyCSCDEI
查看更多>>“Journal of Control Theory and Applications”(《控制理论与应用》(英文版))是由国家教育部主管、华南理工大学主办的全国性学术刊物。2003年创刊，双月刊、 A4开本，国内外公开发行。本刊主要报道系统控制科学中具有新观念、新思想的理论研究成果及其在各个领域中，特别是高科技领域中的应用研究成果。本刊设置的栏目主要有：论文、短文、书刊评介、国内外学术动态等。读者对象为从事控制理论与应用研究的科技人员，高校师生及其它有关人员。
正式出版
收录年代

    Sequencing of multi-robot behaviors using reinforcement learning

    Pietro PierpaoliThinh T.DoanJustin RombergMagnus Egerstedt...
    529-537页
    查看更多>>摘要：Given a collection of parameterized multi-robot controllers associated with individual behaviors designed for particular tasks,this paper considers the problem of how to sequence and instantiate the behaviors for the purpose of completing a more complex,overarching mission.In addition,uncertainties about the environment or even the mission specifications may require the robots to learn,in a cooperative manner,how best to sequence the behaviors.In this paper,we approach this problem by using reinforcement learning to approximate the solution to the computationally intractable sequencing problem,combined with an online gradient descent approach to selecting the individual behavior parameters,while the transitions among behaviors are triggered automatically when the behaviors have reached a desired performance level relative to a task performance cost.To illustrate the effectiveness of the proposed method,it is implemented on a team of differential-drive robots for solving two different missions,namely,convoy protection and object manipulation.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Improving the classification accuracy using biomarkers selected from machine learning methods

    Linduni M.RodrigoAshoka D.Polpitiya
    538-543页
    查看更多>>摘要：High-dimensional data encountered in genomic and proteomic studies are often limited by the sample size but has a higher number of predictor variables.Therefore selecting the most relevant variables that are correlated with the outcome variable is a crucial step.This paper describes an approach for selecting a set of optimal variables to achieve a classification model with high predictive accuracy.The work described using a biological classifier published elsewhere but it can be generalized for any application.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Control engineering of continuous-mode single-photon states:a review

    Guofeng Zhang
    544-562页
    查看更多>>摘要：In this survey,we present single-photon states of electromagnetic fields,discuss discrete measurements of a single-photon field,show how a linear quantum system responds to a single-photon input,investigate how a coherent feedback network can be used to manipulate the temporal pulse shape of a single-photon state,present single-photon filter and master equations,and finally discuss the generation of Schrödinger cat states by means of photon addition and subtraction.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Discrete-time inverse linear quadratic optimal control over finite time-horizon under noisy output measurements

    Han ZhangYibei LiXiaoming Hu
    563-572页
    查看更多>>摘要：In this paper,the problem of inverse quadratic optimal control over finite time-horizon for discrete-time linear systems is considered.Our goal is to recover the corresponding quadratic objective function using noisy observations.First,the identifi-ability of the model structure for the inverse optimal control problem is analyzed under relative degree assumption and we show the model structure is strictly globally identifiable.Next,we study the inverse optimal control problem whose initial state distribution and the observation noise distribution are unknown,yet the exact observations on the initial states are available.We formulate the problem as a risk minimization problem and approximate the problem using empirical average.It is further shown that the solution to the approximated problem is statistically consistent under the assumption of relative degrees.We then study the case where the exact observations on the initial states are not available,yet the observation noises are known to be white Gaussian distributed and the distribution of the initial state is also Gaussian(with unknown mean and covariance).EM-algorithm is used to estimate the parameters in the objective function.The effectiveness of our results are demonstrated by numerical examples.
      原文链接:
    • NETL
    • NSTL
    • 万方数据