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Robust Coordinated Control Algorithm for Multiple Marine Vessels with External Disturbances

MATHEMATICAL PROBLEMS IN ENGINEERING 2013年第1期2013卷 1-8页

作者： Liu, Weixue Jiao, Jianfang Karimi, Hamid Reza Jiao, Jian Bohai Univ Jinzhou 121013 Peoples R China Univ Agder Fac Sci & Engn Dept Engn N-4898 Grimstad Norway Shanghai Acad Spaceflight Technol Res Inst 803 Shanghai 200233 Peoples R China

The problem of coordinated control for multiple marine vessels in the presence of external disturbances is considered in this paper. A robust coordinated control algorithm is proposed for multiple marine vessels. The proposed robust coordinated control algorithm is divided into two parts. The first part develops an extended state observer to estimate the disturbances of marine vessels. The second part presents a robust coordinated control algorithm based on the output of the extended state observer. Furthermore, the robust coordinated control algorithm is designed using the dynamic surface control method. In light of the leader-follower strategy, the trajectory for each vessel is defined according to the desired trajectory of the assigned leader and the relative distance with respect to the leader. The effectiveness of the proposed coordination algorithm is demonstrated by the simulation results.

关键词： ROBUST control computer algorithms DYNAMICAL systems computer simulation TRAJECTORIES (Mechanics)

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Control for unstable nonminimum phase uncertain dynamic vehicle

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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 1996年第3期32卷 945-951页

作者： Rusnak, I RAFAEL Advanced Defense Systems Limited Israel

A control algorithm for control of Linear uncertain system is presented This algorithm is applied to the control of an unstable nonminimum phase uncertain dynamic vehicle. The algorithm is based on the state and parameters observability canonical (SPOC) form and a certainty equivalence pole placement controller. The algorithm provides single controller for the problem of the uncertain dynamic vehicle that approaches the performance of a controller designed for perfectly known parameters within the whole range of the plant's parameters uncertainty. The algorithm is globally bounded input bounded output stable and needs only the knowledge of the order of the plant. The algorithm is presented and its performance is demonstrated by simulations.

关键词： Uncertainty WELL PERFORMANCE pole assignment linear uncertain system Controllers Plant uncertain algorithms Signal controller FULL-SCALE Bounded vehicle computer algorithms

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Extracting post-nonlinear signal with reference

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computerS & ELECTRICAL ENGINEERING 2011年第6期37卷 1171-1181页

作者： Ren, Dongxiao Ye, Mao Univ Elect Sci & Technol China Sch Comp Sci & Engn Chengdu 610054 Peoples R China Nanjing Univ State Key Lab Novel Software Technol Nanjing 210093 Jiangsu Peoples R China

Constrained independent component analysis (cICA) is an important technique which can extract the desired sources from the mixtures. The post-nonlinear (PNL) mixture model is more realistic and accurate than the linear instantaneous mixture model in many practical situations. In this paper, we address the problem of extracting the desired source as the first output from the PNL mixture. The prior knowledge about the desired source, such as its rough template (reference), is assumed to be available. Two approaches of extracting PNL signal with reference are discussed. Then a novel algorithm which alternately optimizes the contrast function and the closeness measure between the estimated output and the reference signal is proposed. The inverse of the unknown nonlinear function in the PNL mixture model is approximated by the multi-layer perception (MLP) network. The correctness and validity of the proposed algorithm are demonstrated by our experiment results. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： INDEPENDENT component analysis NONLINEAR models (Statistics) NONLINEAR functions computer algorithms SIGNAL processing -- Digital techniques ESTIMATION theory

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Optimization algorithms for the design of digital microfluidic biochips: A survey

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computerS & ELECTRICAL ENGINEERING 2013年第1期39卷 112-121页

作者： Pan, Indrajit Mukherjee, Ritwik Rahaman, Hafizur Samanta, Tuhina Dasgupta, Parthasarathi Bengal Engn & Sci Univ Sibpur India Indian Inst Management Kolkata 700027 W Bengal India

Digital microfluidic biochip revolutionizes the medical diagnosis process rendering multiple tasks executed on a single chip. Incorporation of multiple functionality makes the design process complex and costly for digital microfluidic biochip. Physical simulation for the device components in a biochip is essential in todays manufacturing industry. In this paradigm, design automation and development of computer-aided-design tool that can perform physical level simulation and testing becomes crucial for a successful biochip design. This paper presents a comprehensive survey on design automation for biochip. Initially, a brief description on popular optimization techniques and some heuristic algorithms to solve various optimization problems is presented, followed by a review on biochip design automation works. Generally, architectural and geometry level synthesis for biochip design is performed using optimization techniques. Hence, some recent works on bioassay analysis, resource binding, and scheduling in geometry level are discussed. Finally the survey concludes with some possible future research directions. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： MATHEMATICAL optimization computer algorithms MICROFLUIDIC devices BIOCHIPS SURVEYS computer-aided design HEURISTIC algorithms BIOLOGICAL assay

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Improving updating rules in multiplicative algorithms for computing D-optimal designs

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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2008年第2期53卷 312-320页

作者： Dette, Holger Pepelyshev, Andrey Zhigljavsky, Anatoly Ruhr Univ Bochum Fak Math D-44780 Bochum Germany St Petersburg State Univ Dept Math St Petersburg Russia Cardiff Univ Sch Math Cardiff CF24 4AC S Glam Wales

A class of multiplicative algorithms for computing D-optimal designs for regression models on a finite design space is discussed and a monotonicity result for a sequence of determinants obtained by the iterations is proved. As a consequence the convergence of the sequence of designs to the D-optimal design is established. The class of algorithms is indexed by a real parameter and contains two algorithms considered previously as special cases. Numerical results are provided to demonstrate the efficiency of the proposed methods. Finally, several extensions to other optimality criteria are discussed. (C) 2008 Elsevier B.V. All rights reserved.

关键词： computer algorithms OPTIMAL designs (Statistics) REGRESSION analysis MATHEMATICAL models MATHEMATICAL optimization

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System identification for state feedback integral observer control of polymer plastic extrusion

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POLYMER-PLASTICS TECHNOLOGY AND ENGINEERING 1997年第5期36卷 749-775页

作者： Lin, YJ Lee, G Department of Mechanical Engineering University of Akron Akron OH 44325 United States

In this article, the system dynamics of a realistic plastic extrusion process is identified by least squares approximation associated with loss and covariance function criteria applied to a set of experimentally measured data of true single-screw extrusion processes. The system identification yields a third-order mathematical model of the process with a single-input/single-output nature. This modeling approach leads to a reliable and effective system model which facilitates the control design. In designing the control algorithm, the derived dynamic model is formulated in the state-space form to obtain the required Riccati equation. Then, an integral observer control methodology is performed. To reduce the computation time, a program which simulates deterministic model and controller design is proposed. In addition, a steady-state matrix based on the algebraic Riccati equations is utilized to design the controller gain matrices. Finally, the observer design methodology employing the observer characteristic equation corresponding to each system matrix is elaborated. The simulation results show that the two controller output data, namely pressure and temperature responses, track the desired values satisfactorily.

关键词： observational data Polymers and Plastics computational time design control State feedback Riccati equations computer algorithms Simulation results System identification System dynamics extrusion extrusion process controller design

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Power control algorithm in CDMA systems using symmetric successive overrelaxation iteration

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EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS 2005年第6期16卷 583-589页

作者： Soo, KK Siu, YM Zhao, L Yang, L Chen, RS Chan, WS City Univ Hong Kong Dept Elect Engn Hong Kong Hong Kong Peoples R China Nanjing Univ Sci & Technol Dept Commun Engn Nanjing Peoples R China

System capacity is the paramount requirement in the design of code division multiple access (CDMA) cellular systems. Power control to mobiles is an essential tool used to maximise the system capacity by minimising interference while at the same time maintaining transmission quality. The convergence speed of power control algorithm is critical in determining its practical application especially when the propagation and traffic condition are rapidly changing. In this letter, a new centralised power control algorithm is proposed to solve the power control problem by using symmetric successive overrelaxation (SSOR) preconditioned generalised product-type bi-conjugate gradient (GPBi-CG) iteration method. The simulation results show that our proposed algorithm has much faster convergent rate than the distributive constrained second-order power control (CSOPC) and constrained Gauss-Seidel (CGS) algorithm. The fast convergent speed can increase the overall network capacity. Copyright (c) 2005 AEIT.

关键词： network capacity CENTROSYMMETRIC system capacity transmission quality algorithms CDMA mobile communications iterative methods computer algorithms Power control Code division multiple access

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Histogram of Maximal Optical Flow Projection for Abnormal Events Detection in Crowded Scenes

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INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 2015年第11期11卷 1-11页

作者： Li, Ang Miao, Zhenjiang Cen, Yigang Wang, Tian Voronin, Viacheslav Beijing Jiaotong Univ Inst Informat Sci Beijing 100044 Peoples R China Beihang Univ Sch Automat Sci & Elect Engn Beijing 100191 Peoples R China Don State Tech Univ Dept Radioelect Syst Shakhty 346500 Russia

Abnormal events detection plays an important role in the video surveillance, which is a challenging subject in the intelligent detection. In this paper, based on a novel motion feature descriptor, that is, the histogram of maximal optical flow projection (HMOFP), we propose an algorithm to detect abnormal events in crowded scenes. Following the extraction of the HMOFP of the training frames, the one-class support vector machine (SVM) classification method is utilized to detect the abnormality of the testing frames. Compared with other methods based on the optical flow, experiments on several benchmark datasets show that our algorithm is effective with satisfying results.

关键词： HISTOGRAMS OPTICAL flow VIDEO surveillance FEATURE extraction (Data processing) DESCRIPTOR systems (computer science) computer algorithms SUPPORT vector machines

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A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications

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PLOS COMPUTATIONAL BIOLOGY 2019年第2期15卷 e1006772-e1006772页

作者： Peng, He Zeng, Xiangxiang Zhou, Yadi Zhang, Defu Nussinov, Ruth Cheng, Feixiong Xiamen Univ Dept Comp Sci Xiamen Fujian Peoples R China Ohio Univ Dept Chem & Biochem Athens OH 45701 USA NCI Canc & Inflammat Program Leidos Biomed Res Inc Frederick Natl Lab Canc Res Frederick MD 21701 USA Tel Aviv Univ Sackler Sch Med Dept Human Mol Genet & Biochem Tel Aviv Israel Cleveland Clin Genom Med Inst Lerner Res Inst Cleveland OH 44106 USA Case Western Reserve Univ Dept Mol Med Cleveland Clin Lerner Coll Med Cleveland OH 44106 USA Case Western Reserve Univ Sch Med Case Comprehens Canc Ctr Cleveland OH 44106 USA

Recent advances in next-generation sequencing and computational technologies have enabled routine analysis of large-scale single-cell ribonucleic acid sequencing (scRNA-seq) data. However, scRNA-seq technologies have suffered from several technical challenges, including low mean expression levels in most genes and higher frequencies of missing data than bulk population sequencing technologies. Identifying functional gene sets and their regulatory networks that link specific cell types to human diseases and therapeutics from scRNA-seq profiles are daunting tasks. In this study, we developed a Component Overlapping Attribute Clustering (COAC) algorithm to perform the localized (cell subpopulation) gene co-expression network analysis from large-scale scRNA-seq profiles. Gene subnetworks that represent specific gene co-expression patterns are inferred from the components of a decomposed matrix of scRNA-seq profiles. We showed that single-cell gene subnetworks identified by COAC from multiple time points within cell phases can be used for cell type identification with high accuracy (83%). In addition, COAC-inferred subnetworks from melanoma patients' scRNA-seq profiles are highly correlated with survival rate from The Cancer Genome Atlas (TCGA). Moreover, the localized gene subnetworks identified by COAC from individual patients' scRNA-seq data can be used as pharmacogenomics biomarkers to predict drug responses (The area under the receiver operating characteristic curves ranges from 0.728 to 0.783) in cancer cell lines from the Genomics of Drug Sensitivity in Cancer (GDSC) database. In summary, COAC offers a powerful tool to identify potential network-based diagnostic and pharmacogenomics biomarkers from large-scale scRNA-seq profiles. COAC is freely available at https://***/ChengF-Lab/COAC.

关键词： computer algorithms RNA-seq MELANOMA DATA analysis BIOLOGICAL tags COMPUTATIONAL biology

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Efficient non-linear model based predictive control

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INTERNATIONAL JOURNAL OF CONTROL 2001年第4期74卷 361-372页

作者： Cannon, M Kouvaritakis, B Lee, YI Brooms, AC Gyeongsang Natl Univ Dept Control & Instrumentat Res Ctr Aircraft Parts Technol Jinju Gyeong Nam 660701 South Korea Univ Oxford Dept Engn Sci Oxford OX1 3PJ England

For a large number of degrees of freedom and/or large dimension systems, non-linear model based predictive control algorithms based on dual mode control can become intractable. This paper proposes an alternative which deploys the closed-loop paradigm that has proved to be very effective for the case of linear time-varying or uncertain systems. The various attributes and computational advantages of the approach are shown to carry over to the non-linear case.

关键词： time varying Carry Nonlinear Models dual-mode control Degree of freedom Predictive control uncertain systems computer algorithms

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