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The Society of Instrument and control Engineers Annual Conference 2015

作者： XU Zhaoqing Pei Hailong College of Automation Science and Engineering Ministerial Key Laboratory of Autonomous System and Networked Control South China University of Technology

The rudder control law of certain bank-to-turn cruise missile is studied in this paper. The yaw and roll aerodynamic force caused by grid rudder is analyzed, the aerodynamic force and aerodynamic moment with motion equations are linearized based on the small perturbation linear theory. The beginning state of the cruise is chose as the feature point, the values of dynamical coefficient are calculated, then the lateral perturbation equations are *** transfer functions of each attitude angle under the rudder deflection are obtained through solving the perturbation equations, and then the dynamic step responses of the grid rudder’s are obtained. The lateral rudder control law which can satisfy zero sideslip condition is derived through the dynamic responses, according this control law the missile can achieve bank-to-turn.

关键词： cruise missile bank-to-turn rudder control law

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A generalized piecewise quadratic lyapunov function approach to estimating the domain of attraction of a saturated system

A generalized piecewise quadratic lyapunov function approach...

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1st IFAC Conference on Modelling, Identification and control of Nonlinear systems, MICNON 2015

作者： Li, Yuanlong Lin, Zongli Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai200240 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia CharlottesvilleVA229044743 United States

This paper revisits the problem of estimating the domain of attraction of a saturated system with an algebraic loop. A piecewise quadratic Lyapunov function of an augmented state vector composing of the system state and the saturated input has been proposed for use in estimating the domain of attraction for a saturated system. Considering the relationship between the system states and the saturation function, we propose in this paper a generalized piecewise quadratic Lyapunov function, which results from adding a term that characterizes the regional sector condition of the saturated input to the piecewise quadratic Lypunov function. The matrix associated with the generalized piecewise quadratic Lyapunov function is not required to be positive definite, and thus a set of less conservative stability conditions are established, from which a larger estimate of the domain of attraction can be obtained. Simulation results indicate that the effectiveness and superiority of the proposed method.

关键词： Lyapunov functions

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Nonlinear adaptive control of a 3D overhead crane 15

Nonlinear adaptive control of a 3D overhead crane

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15th International Conference on control, automation and systems, ICCAS 2015

作者： Nguyen, Quoc Chi Ngo, Ha-Quang-Thinh Kim, Won-Ho Department of Mechatronics Ho Chi Minh City University of Technology Viet Nam Control and Automation Lab Department of Mechatronics Ho Chi Minh City University of Technology Viet Nam Department of Intelligent System Engineering Dong-Eui University Busan Korea Republic of

ISBN: (纸本)9788993215090

In this paper, a nonlinear adaptive control of a 3D overhead crane is investigated. A dynamic model of the overhead crane is developed, where the crane system is assumed as a lumped mass model. Under the mutual effects of the sway motions of the payload and the hoisting motion, the nonlinear behavior of the crane system is considered. A nonlinear control model-based scheme is designed to achieve the three objectives: (i) drive the crane system to the desired positions, (ii) suppresses the vibrations of the payload, and (iii) velocity tracking of hoisting motion. The nonlinear control scheme employs adaptation laws that estimate unknown system parameters, friction forces and the mass of the payload. The estimated values are used to compute control forces applied to the trolley of the crane. The asymptotic stability of the crane system is investigated by using the Lyapunov method. The effectiveness of the proposed control scheme is verified by numerical simulation results. © 2015 Institute of control, Robotics and systems - ICROS.

关键词： Lyapunov methods

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Boundary feedback control of open canals with a Riemann invariants approach

Boundary feedback control of open canals with a Riemann inva...

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作者： Cen, Lihui Xi, Yugeng Li, Dewei Cen, Yigang Department of Control Engineering Central South University Changsha Hunan Province China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China Department of Automation Shanghai Jiaotong University Shanghai200240 China School of Computer and Information Technology Beijing Jiaotong University Beijing China

This paper proposes a boundary feedback control design for open canal networks using the linearization of boundary conditions. For open canal networks with any types of cross-sections, which can be modelled by the Saint-Venant equations, the characteristic form in terms of Riemann invariants has been established. Under this established characteristic form, the stabilizing boundary control law has been developed by linearizing the boundary conditions for both a single reach and the open-channel network composed by multi-reaches in a cascade. The design of the boundary feedback control laws for both a single canal and the cascaded networks is illustrated in a unified framework, which extends the results in the literature. © The Author(s) 2014.

关键词： Boundary conditions

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Performance analysis and comparison between two forms of double EWMA controllers in industrial process

Performance analysis and comparison between two forms of dou...

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International Conference on control, automation and Robotics (ICCAR)

作者： Qing-Song Gong Moon-Sang Lee Gen-Ke Yang Chang-Chun Pan Department of Automation Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai China System Engineering Team Samsung Electronics Gyeonggi-Do Korea

ISBN: (纸本)9781467375245

The double EWMA (exponential-weighted-moving-average) controller, as one kind of R2R (Run to Run) controller has been widely used in the industrial process, especially in semiconductor manufacturing. In this paper, two forms of the most popular double EWMA controller are analysed and compared in terms of the stability conditions and long-run performance. We point out their own advantages and disadvantages in use and present each own applicable situations. Finally, a specific chemical mechanical polishing (CMP) process will be used as an example to illustrate the validity of our results.

关键词： Process control Stability analysis Manufacturing MIMO automation control systems Electronic mail

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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

arXiv

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arXiv 2018年

作者： Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

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Synthesis Approaches of Dynamic Output Feedback Robust MPC for LPV system with Unmeasurable Polytopic Model Parametric Uncertainty——Part *** Disturbance

Synthesis Approaches of Dynamic Output Feedback Robust MPC f...

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第27届中国控制与决策会议

作者： Baocang Ding Yugeng Xi Hongguang Pan Department of Automation School of Electronic and Information EngineeringXi'an Jiaotong University Department of Automation Shanghai Jiaotong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China

For a linear parameter varying(LPV) system including unmeasurable polytopic model parametric uncertainty and polytopic disturbance,the output feedback model predictive control(MPC) is considered.A series of scalars,for relaxing the disturbance-related constraint handling,are integrated into the solution of dynamic output feedback *** approach stabilizes the system and improves the previous results.A numerical example is given to show the effectiveness of the proposed approach.

关键词： Output feedback,Model predictive control,Synthesis approach,Uncertain systems

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Robust tracking control design for a flexible air-breathing hypersonic vehicle

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Journal of Central South University 2014年第1期21卷 130-139页

作者：张垚鲜斌刁琛赵勃郭建川 Institute of Robotics and Autonomous System Tianjin Key Laboratory of Process Measurement and ControlSchool of Electrical Engineering and AutomationTianjin University

A nonlinear robust controller was presented to improve the tracking control performance of a flexible air-breathing hypersonic vehicle(AHV) which is subjected to system parametric uncertainties and unknown additive time-varying *** longitudinal dynamic model for the flexible AHV was used for the control ***-gain observers were designed to compensate for the system uncertainties and additive *** gain theorem and Lyapunov based stability analysis were utilized to prove the stability of the closed loop *** uniformly ultimately bounded tracking of the vehicle's velocity,altitude and attack angle were achieved under aeroelastic effects,system parametric uncertainties and unknown additive ***/Simulink simulation results were provided to validate the robustness of the proposed control *** simulation results demonstrate that the tracking errors stay in a small region around zero.

关键词： hypersonic vehicles nonlinear robust control flexible mode small gain theorem Lyapunov

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Analysis of Chinese Stock Market from a Complex Network Perspective: Better to Invest in the Central

Analysis of Chinese Stock Market from a Complex Network Pers...

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第三十四届中国控制会议

作者： Jun Ma Jiajun Yang Xiaoqiang Zhang Ying Huang Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information ProcessingMinistry of Education School of Management and Engineering Nanjing University

ISBN: (纸本)9781467374439

In this paper, we investigate the dynamics of Chinese stock market from a complex network perspective, based on daily uctuations of all stocks during 1906 working day period from 2005 to 2012. In the network being constructed, each node is a stock, and each edge indicates the time correlation coef cient of two stocks over a window of T days. The network evolves chronologically as the window slides in forward time at a ΔT-days interval. By examining the variation of the network parameters as time elapses, we show that the degree distributions of Chinese stock market networks are heavy-tailed, but cannot follow the power-law when the Chinese stock market experiences a bear market. And the edge density is exceedingly large at the bearish periods. Moreover, we discuss how a network approach can be used to build a well-diversi ed portfolio. We nd that investments in stocks that occupy central, highly connected in the Chinese stock network outperform after the intervention of positive policy.

关键词： Stock market,Complex network,Dynamic evolution,Degree distribution,Stock indexes,Portfolio Analysis

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Intelligent Setting control Method Based on CBR and iterative learning for Laminar Cooling Process

Intelligent Setting Control Method Based on CBR and iterativ...

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第26届中国过程控制会议（CPCC2015）

作者： Pian Jinxiang Zhu Yunlong Liu Jinxin Chai Tianyou Qi Aiwei School of Information and Control engineering Shenyang Jianzhu University Key Laboratory of Networked Control System Chinese Academy of Sciences State Key Laboratory of Integrated Automation for Process Industry Northeastern University

The hot rolled strip laminar cooling system is a complex industrial process, associated with features of strong nonlinear and changing operating conditions. So, the process is hard to control with traditional close loop control methods. But fortunately, there is the repeated characteristic in the laminar cooling process, which is very suited to apply the iterative learning between the strips. So, PI iterative learning method is proposed in this paper to learn the inner knowledge between the strips with similar working condition. On the other hand, in order to improve the control effect,CBR(case-based reasoning) technology is applied to adjust the parameters P and I according to the changing working conditions. The experiments are conducted with industrial operating data. The results show that, with the proposed method, it is effective to find the right operating point quickly and the strip coiling temperature can be controlled in the suitable range.

关键词： laminar cooling iterative learning CBR(case based reasoning) strip coiling temperature

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