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Robust Approximations to Joint Chance-constrained Problems 联合机会约束问题的鲁棒逼近
自动化学报 Pub Date : 2015-10-01 DOI: 10.1016/S1874-1029(15)30003-3
Ran DING , Guo-Xiang LI , Qi-Qiang LI
{"title":"Robust Approximations to Joint Chance-constrained Problems","authors":"Ran DING ,&nbsp;Guo-Xiang LI ,&nbsp;Qi-Qiang LI","doi":"10.1016/S1874-1029(15)30003-3","DOIUrl":"10.1016/S1874-1029(15)30003-3","url":null,"abstract":"<div><p>Two new approximate formulations to joint chance-constrained optimization problems are proposed in this paper. The relationships of CVaR (conditional-value-at-risk), chance constrains and robust optimization are reviewed. Firstly, two new upper bounds on E((·) <sup>+</sup>) are proposed, where E stands for the expectation and <em>x<sup>+</sup></em> = max(0, <em>x</em>), based on which two approximate formulations for individual chance-constrained problems are derived. The approximations are proved to be the robust optimization with the corresponding uncertain sets. Then the approximations are extrapolated to joint chance-constrained problem. Finally numerical studies are performed to compare the solutions of individual and joint chance constraints approximations and the results demonstrate the validity of our method.</p></div>","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1874-1029(15)30003-3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"56928792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Chebyshev-Gauss Pseudospectral Method for Solving Optimal Control Problems 求解最优控制问题的切比舍夫-高斯伪谱法
自动化学报 Pub Date : 2015-10-01 DOI: 10.1016/S1874-1029(15)30004-5
Xiao-Jun TANG , Jian-Li WEI , Kai CHEN
{"title":"A Chebyshev-Gauss Pseudospectral Method for Solving Optimal Control Problems","authors":"Xiao-Jun TANG ,&nbsp;Jian-Li WEI ,&nbsp;Kai CHEN","doi":"10.1016/S1874-1029(15)30004-5","DOIUrl":"10.1016/S1874-1029(15)30004-5","url":null,"abstract":"<div><p>A pseudospectral method is presented for direct trajectory optimization of optimal control problems using collocation at Chebyshev-Gauss points, and therefore, it is called Chebyshev-Gauss pseudospectral method. The costate and constraint multiplier estimates for the proposed method are rigorously derived by comparing the discretized optimality conditions of an optimal control problem with the Karush-Kuhn-Tucker conditions of the resulting nonlinear programming problem from collocation. The distinctive advantages of the proposed method over other pseudopsectral methods are the good numerical stability and computational efficiency. In order to achieve this goal, the barycentric Lagrange interpolation is substituted for the classic Lagrange interpolation in the state approximation. Furthermore, a simple yet efficient method is presented to alleviate the numerical errors of state differential matrix using the trigonometric identity especially when the number of Chebyshev-Gauss points is large. The method presented in this paper has been taken to two optimal control problems from the open literature, and the results have indicated its ability to obtain accurate solutions to complex constrained optimal control problems.</p></div>","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1874-1029(15)30004-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"56928798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
SAR Image Despeckling by Sparse Reconstruction Based on Shearlets 基于shearlet的SAR图像去斑稀疏重建
自动化学报 Pub Date : 2015-08-01 DOI: 10.1016/S1874-1029(15)30002-1
Jian JI , Xiao LI , Shuang-Xing XU , Huan LIU , Jing-Jing HUANG
{"title":"SAR Image Despeckling by Sparse Reconstruction Based on Shearlets","authors":"Jian JI ,&nbsp;Xiao LI ,&nbsp;Shuang-Xing XU ,&nbsp;Huan LIU ,&nbsp;Jing-Jing HUANG","doi":"10.1016/S1874-1029(15)30002-1","DOIUrl":"10.1016/S1874-1029(15)30002-1","url":null,"abstract":"<div><p>Synthetic aperture radar (SAR) image is usually polluted by multiplicative speckle noise, which can affect further processing of SAR image. This paper presents a new approach for multiplicative noise removal in SAR images based on sparse coding by shearlets filtering. First, a SAR despeckling model is built by the theory of compressed sensing (CS). Secondly, obtain shearlets coefficient through shearlet transform, each scale coefficient is represented as a unit. For each unit, sparse coefficient is iteratively estimated by using Bayesian estimation based on shearlets domain. The represented units are finally collaboratively aggregated to construct the despeckling image. Our results in SAR image despeckling show the good performance of this algorithm, and prove that the algorithm proposed is robustness to noise, which is not only good for reducing speckle, but also has an advantage in holding information of the edge.</p></div>","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1874-1029(15)30002-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"56928786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Forward Affine Point Set Matching Under Variational Bayesian Framework 变分贝叶斯框架下的正向仿射点集匹配
自动化学报 Pub Date : 2015-08-01 DOI: 10.1016/S1874-1029(15)30001-X
Han-Bing QU , Xi CHEN , Song-Tao WANG , Ming YU
{"title":"Forward Affine Point Set Matching Under Variational Bayesian Framework","authors":"Han-Bing QU ,&nbsp;Xi CHEN ,&nbsp;Song-Tao WANG ,&nbsp;Ming YU","doi":"10.1016/S1874-1029(15)30001-X","DOIUrl":"10.1016/S1874-1029(15)30001-X","url":null,"abstract":"<div><p>In this work, the affine point set matching is formulated under a variational Bayesian framework and the model points are projected forward into the scene space by a linear transformation. A directed acyclic graph is presented to represent the relationship between the parameters, latent variables, model and scene point sets and an iterative approximate algorithm is proposed for the estimation of the posterior distributions over parameters. Furthermore, the anisotropic covariance is assumed on the transition variable and one Gaussian component is provided for the inference of outlier points. Experimental results demonstrate that the proposed algorithm achieves good performance in terms of both robustness and accuracy.</p></div>","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1874-1029(15)30001-X","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"56928777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
H. S. Tsien s Concept for Intelligence and Parallel Intelligence:From LASER to Inspiritment 钱学森的智能与平行智能概念:从激光到灵感
自动化学报 Pub Date : 2015-01-01 DOI: 10.16383/J.AAS.2015.C150216
Wang, Fei-Yue
{"title":"H. S. Tsien s Concept for Intelligence and Parallel Intelligence:From LASER to Inspiritment","authors":"Wang, Fei-Yue","doi":"10.16383/J.AAS.2015.C150216","DOIUrl":"https://doi.org/10.16383/J.AAS.2015.C150216","url":null,"abstract":"Fifty years ago in 1964, H. S. Tsien translated LASER into Ji Guang for a Chinese intelligence magazine on light amplification by stimulated emission of radiation. 20 years later from this event in 1983, Tsien proposed a concept for intelligence called \"information inspiritment\" or Ji Huo in Chinese, with the desire to make intelligence as \"LASER Intelligence\" so that it will be like \"the sharpest knife, the brightest light, the most accurate rule\" for decision and action.This paper discusses Tsien s idea of inspiration and parallel intelligence and how to implement \"intelligence inspiritors\"based on ACP theory.","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67550537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
An identification method for nonlinear systems with colored measurement noise 有色测量噪声非线性系统的识别方法
自动化学报 Pub Date : 2015-01-01 DOI: 10.16383/J.AAS.2015.C150278
Huang Long, Z. Gang, Li Ning, Zhao Lin
{"title":"An identification method for nonlinear systems with colored measurement noise","authors":"Huang Long, Z. Gang, Li Ning, Zhao Lin","doi":"10.16383/J.AAS.2015.C150278","DOIUrl":"https://doi.org/10.16383/J.AAS.2015.C150278","url":null,"abstract":"","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67550595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A semi-supervised agglomerative hierarchical clustering method based on dynamically updating constraints 一种基于动态更新约束的半监督聚类分层聚类方法
自动化学报 Pub Date : 2015-01-01 DOI: 10.16383/J.AAS.2015.C140859
Chenxi Zhou, Xun Liang, Jinshan Qi
{"title":"A semi-supervised agglomerative hierarchical clustering method based on dynamically updating constraints","authors":"Chenxi Zhou, Xun Liang, Jinshan Qi","doi":"10.16383/J.AAS.2015.C140859","DOIUrl":"https://doi.org/10.16383/J.AAS.2015.C140859","url":null,"abstract":"A semi-supervised agglomerative hierarchical clustering method based on dynamically updating constraints is proposing in this research. Following the existing semi-supervised clustering algorithm, this method uses the must-link and cannot-link constraints. Instead of using the idea that the instances with must-link constraints are pre-clustered before agglomerating with the others, this method employs a more general and reasonable process. Firstly, must-link and cannot-link constraints are expanded to compose a constraints closure. Then, a standard agglomeration instructed by cannot-link constraints is processed. During this procedure, the must-link and cannot-link are dynamically updated according to the intermediate clustering results. This updating process guarantees the validity of the final results. The fundamental advantage of this method is omitting the pre-clustering process of the instances with must-link constraints. This modification ensures that data points gain a more reasonable agglomeration order, which may result in a significant improvement on the clustering results. This research also introduces an implementation of this model based on Ward0s method, leading to the C-Ward algorithm. The experimental analyses on both Artificial simulated datasets and real world datasets show that this method is much better than the others.","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67550484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
State Feedback Stabilization of Stochastic Feedforward Nonlinear Systems with Input Time-delay 输入时滞随机前馈非线性系统的状态反馈镇定
自动化学报 Pub Date : 2014-12-01 DOI: 10.1016/S1874-1029(15)60003-9
Xue-Jun XIE , Cong-Ran ZHAO
{"title":"State Feedback Stabilization of Stochastic Feedforward Nonlinear Systems with Input Time-delay","authors":"Xue-Jun XIE ,&nbsp;Cong-Ran ZHAO","doi":"10.1016/S1874-1029(15)60003-9","DOIUrl":"10.1016/S1874-1029(15)60003-9","url":null,"abstract":"<div><p>In this paper, the problem of state feedback stabilization for stochastic feedforward nonlinear systems with input time-delay is considered for the first time. By introducing a variable transformation, skillfully combining the homogeneous domination method, and constructing an appropriate Lyapunov-Krasovskii functional, a state feedback controller is developed to guarantee the closed-loop system globally asymptotically stable in probability.</p></div>","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1874-1029(15)60003-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"56928462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Nonlinear Control for Multi-agent Formations with Delays in Noisy Environments 噪声环境下具有时滞的多智能体编队非线性控制
自动化学报 Pub Date : 2014-12-01 DOI: 10.1016/S1874-1029(15)60001-5
Xiao-Qing LU , Yao-Nan WANG , Jian-Xu MAO
{"title":"Nonlinear Control for Multi-agent Formations with Delays in Noisy Environments","authors":"Xiao-Qing LU ,&nbsp;Yao-Nan WANG ,&nbsp;Jian-Xu MAO","doi":"10.1016/S1874-1029(15)60001-5","DOIUrl":"10.1016/S1874-1029(15)60001-5","url":null,"abstract":"<div><p>In this paper, we investigate the nonlinear control problem for multi-agent formations with communication delays in noisy environments and in directed interconnection topologies. A stable theory of stochastic delay differential equations is established and then some sufficient conditions are obtained based on this theory, which allow the required formations to be gained at exponentially converging speeds with probability one for time-invariant formations, time-varying formations, and time-varying formations for trajectory tracking under a special “multiple leaders” framework. Some numerical simulations are also given to illustrate the effectiveness of the theoretical results.</p></div>","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1874-1029(15)60001-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"56928877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Neural Network-based Adaptive State-feedback Control for High-order Stochastic Nonlinear Systems 基于神经网络的高阶随机非线性系统自适应状态反馈控制
自动化学报 Pub Date : 2014-12-01 DOI: 10.1016/S1874-1029(15)60002-7
Hui-Fang MIN , Na DUAN
{"title":"Neural Network-based Adaptive State-feedback Control for High-order Stochastic Nonlinear Systems","authors":"Hui-Fang MIN ,&nbsp;Na DUAN","doi":"10.1016/S1874-1029(15)60002-7","DOIUrl":"10.1016/S1874-1029(15)60002-7","url":null,"abstract":"<div><p>This paper focuses on investigating the issue of adaptive state-feedback control based on neural networks (NNs) for a class of high-order stochastic uncertain systems with unknown nonlinearities. By introducing the radial basis function neural network (RBFNN) approximation method, utilizing the backstepping method and choosing an approximate Lyapunov function, we construct an adaptive state-feedback controller which assures the closed-loop system to be mean square semi-global-uniformly ultimately bounded (M-SGUUB). A simulation example is shown to illustrate the effectiveness of the design scheme.</p></div>","PeriodicalId":35798,"journal":{"name":"自动化学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1874-1029(15)60002-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"56928884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
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