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第35届中国控制会议

作者： Kun Xu Jianming Zhou Fei Liu Guoxiang Gu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of AutomationJiangnan University School of Electrical Engineering and Computer Science Louisiana State University

ISBN: (纸本)9781509009107

We study the linear-quadratic-Gaussian(LQG) control for multiple-input/multiple-output(MIMO) discrete-time networked control systems(NCSs) in the presence of data packet drops that are modeled as multiplicative noises,assumed to be white *** will first analyze the mean square(MS) stability problem for MIMO feedback systems in the presence of the multiplicative noises,and provide a new useful MS stability *** LQG control under packet data drops will then be studied in which the critical probability of the received data packet can be computed by solving a set of linear matrices inequalities(LMIs),beyond which the modified algebraic Riccati equations,associated with the LQG control,admit the stabilizing *** a numerical example from the known literature is employed to illustrate our results.

关键词： Networked control system LQG control data packet drop

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Data-Driven PID Controller and its Application to Pulp Neutralization process

Data-Driven PID Controller and its Application to Pulp Neutr...

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第27届中国过程控制会议（CPCC2016）

作者： Yajun Zhang Tianyou Chai Dianhui Wang Yao Jia Wei Dai Key Laboratory of Synthetical Automation for Process Industries (Northeastern University) Department of Computer Science and Information Technology Engineering La Trobe University Department of Information and Electrical Engineering China University of Mining and Technology

The pulp neutralization process is a classic complex industrial process with strong nonlinear and *** processes generally cannot be controlled well using the traditionalproportional-integral-derivative(PID) controller because of the linear feature of that control *** on this problem,a novel PID controlmethod is proposed by integrating multiple technologies,namely,data-driven compensation of un-modelled dynamicsand multi-step ahead of optimal *** the new PID control structure,the measured data from the pulp neutralizationprocess and the historical data from the unmodelled dynamics are fully used,and a data-based unmodelled dynamicscompensator is integrated with a feedback *** the performance of the proposed algorithm further,its stability and convergence are ***,the proposed approach is applied to a cobalt nickel hydroxide pulpneutralization process to solve the problem of the p H value under random disturbances caused by total acid flow duringautoclave leaching,residual acid flow,and feeding pulp p H ***,the simulations are carried out using data froman actual pulp neutralization process,and then industrial experiments confirm the simulation conclusion:the p H value ofthe pulp neutralization process can be effectively maintained within the desired technical range with slight fluctuations.

关键词： Data-Driven PID Controller and its Application to Pulp Neutralization process Controller

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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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Active Disturbance Rejection Control for Nonlinear Two-tank Liquid Level Cascade Systems with Model Uncertainties

Active Disturbance Rejection Control for Nonlinear Two-tank ...

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The Society of Instrument and Control Engineers Annual Conference 2015

作者： Lijun Wang Fen Zhang Qing Li Yixin Yin Qing Zheng Yumeng Zhang School of Automation & Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Department of Electrical and Computer Engineering Gannon University

Due to the nonlinearities, model uncertainties and disturbances of the two-tank liquid level cascade system,active disturbance rejection controller(ADRC) solution was developed. First, a nonlinear mechanism model and its linearized model were built based on the theories of fluid dynamics for the system. Second, first-order linear ADRCs for the outer loop of the two cascade systems with an unknown order were designed, respectively. With a simple integrator as the normalized type of the feedback system, other parts of dynamic system which are different from the normalized type are treated as the total disturbances. The disturbances were estimated by the second-order linear extended state observer and compensated in the control law. Then the system, with nonlinearities, uncertainties and disturbances, is reduced to only a linear integrator. In comparison with the traditional PI controller, simulation results show that both the proposed ADRCs have better robustness and adaptability against model uncertainties.

关键词： Two-tank systems,nonlinear systems,uncertain systems,cascade systems,active disturbance rejection control

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An improved Harmony search algorithm with dynamic control parameters for continuous optimization problems

An improved Harmony search algorithm with dynamic control pa...

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第26届中国控制与决策会议

作者： Biao Zhang Huihui Yan Junhua Duan J.J.Liang Hong-yan Sang Quan-ke Pan College of Computer Science Liaocheng University School of Electrical Engineering Zhengzhou University StateKey Laboratory of Synthetical Automation for Process Industries Northeastern University

ISBN: (纸本)9781479937097

An improved harmony search algorithm is presented for solving continuous optimization problems in this paper. In the proposed algorithm, an elimination principle is developed for choosing from the harmony memory, so that the harmonies with better fitness will have more opportunities to be selected in generating new harmonies. Two key control parameters, pitch adjustment rate(P AR) and bandwidth distance(bw), are dynamically adjusted to favor exploration in the early stages and exploitation during the final stages of the search process with the different search spaces of the optimization problems. Numerical results of 12 benchmark problems show that the proposed algorithm performs more effectively than the existing HS variants in finding better solutions.

关键词： Harmony search,Continuous optimization,Meta-heuristics,Dynamic parameter,Evolutionary algorithms

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ANN-based DTC scheme to improve the dynamic performance of an IM drive

ANN-based DTC scheme to improve the dynamic performance of a...

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7th IET International Conference on Power Electronics, Machines and Drives, PEMD 2014

作者： Bouhoune, K. Yazid, K. Boucherit, M.S. Power and Industrial Systems Laboratory Faculty of Electronics and Computer Science University of Science and Technology Houari Boumediene PO Box 32 El Alia Bab Ezzouar 16111 Algiers Algeria Process Control Laboratory Department of Electrical Engineering Polytechnic National School PO Box 182 10 Hassan Badi El-Harrach 16200 Algiers Algeria

ISBN: (纸本)9781849198158

In addition to simplicity, the DTC of the IM allows a good torque control in steady-state and transient operating conditions. However, high torque ripple is produced, which is reflected in speed estimation responses. It also increases acoustical noise and makes the voltage source inverter operated in high and variable switching frequency, requiring a high sampling frequency. In this paper, a simple effective ANN-based DTC of the induction machine is proposed. Neural networks with a simple architecture are designed and implemented in influential points of the direct torque control block of the three phase induction machine in order to improve its dynamic performance while preserving the DTC structure simplicity as much as possible. In particular, this paper proposes to reduce, on the one hand, the torque ripple and commutation frequency. Neural comparators are used to select the appropriate bandwidth for the torque and flux hysteresis controllers. Their aim is to optimize the ripple level in the developed torque and flux. On the other hand, a neural speed controller is designed in order to improve the system ability to respond rapidly to changes in process variables and mitigate the effects of external perturbations. The performance of the proposed control are tested in simulation and highlighted by comparing to the conventional DTC control based on conventional hysteresis comparators and conventional PI speed controller. The obtained results show the feasibility and good performances of the proposed control.

关键词： Neural networks

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ANN-based DTC scheme to improve the dynamic performance of an IM drive

ANN-based DTC scheme to improve the dynamic performance of a...

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7th IET International Conference on Power Electronics, Machines and Drives (PEMD 2014)

作者： K Bouhoune K Yazid M S Boucherit Power and Industrial Systems Laboratory Faculty of Electronics and Computer Science University of Science Algeria Process Control Laboratory Department of Electrical Engineering Polytechnic National School PO Box 182 10 Hassan Badi El-Harrach 16200 Algiers Algeria

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Performance Comparison of Source Routing Tactics for WSN of Grid Topology

Performance Comparison of Source Routing Tactics for WSN of ...

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IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC)

作者： Wenxiang Li Yunhe Wu Chunsheng Zhu Yajie Ma Key Laboratory of Metallurgical Industry Process Systems in Hubei Province Wuhan University of Science and Technology Wuhan China Wuhan University of Science and Technology School of Information Science and Engineering Wuhan China Department of Electrical and Computer Engineering University of British Columbia Vancouver Canada Engineering Research Center for Metallurgical Automation and Detecting Technology of Ministry of Education Wuhan University of Science and Technology Wuhan China

The nodes near sink in wireless sensor networks are featured with heavy transmission loads, so these performance bottleneck nodes are prone to running out of energy early with shortened network lifetime. Routing tactic plays important role on transmission performance and energy consumption of network. In this paper, we enumerate typical source routing tactics in Grid topology, include 1) Random Equal Probability Forwarding, 2) Line Forwarding, 3) Source-Zigzag Forwarding, 4) Destination-Zigzag Forwarding, and 5) Balance Forwarding. We analysis the traffic load distribution among nodes for these routing tactics, and calculate the load of performance bottleneck nodes and transmission delay in one data collection cycle. Based on the energy consumption model, we further make comparison on the energy consumptions of transmission and standing-by for these tactics. Numerical results show that Balance Forwarding tactic leads to the least overall energy consumption on performance bottleneck nodes, and Line Forwarding and Random Equal-Probability Forwarding lead to high energy consumption.

关键词： Routing Energy consumption Topology Delays Telecommunication traffic Network topology Educational institutions

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Complex Dynamical Behavior of a Two-Stage Colpitts Oscillator with Magnetically Coupled Inductors

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Journal of Chaos 2014年第1期2014卷

作者： V. Kamdoum Tamba H. B. Fotsin J. Kengne F. Kapche Tagne P. K. Talla Department of Physics Laboratory of Electronics and Signal Processing (LETS) Faculty of Science University of Dschang P.O. Box 67 Dschang *** Department of Telecommunication and Network Engineering IUT-Fotso Victor of Bandjoun University of Dschang P.O. Box 134 Bandjoun *** Department of Electrical Engineering Laboratory of Automation and Applied Computer (LAIA) IUT-Fotso Victor of Bandjoun University of Dschang P.O. Box 134 Bandjoun *** Department of Physics Laboratory of Mechanics and Modelling of Physical Systems (L2MPS) Faculty of Science University of Dschang P.O. Box 67 Dschang ***

A five-dimensional (5D) controlled two-stage Colpitts oscillator is introduced and analyzed. This new electronic oscillator is constructed by considering the well-known two-stage Colpitts oscillator with two further elements (coupled inductors and variable resistor). In contrast to current approaches based on piecewise linear (PWL) model, we propose a smooth mathematical model (with exponential nonlinearity) to investigate the dynamics of the oscillator. Several issues, such as the basic dynamical behaviour, bifurcation diagrams, Lyapunov exponents, and frequency spectra of the oscillator, are investigated theoretically and numerically by varying a single control resistor. It is found that the oscillator moves from the state of fixed point motion to chaos via the usual paths of period-doubling and interior crisis routes as the single control resistor is monitored. Furthermore, an experimental study of controlled Colpitts oscillator is carried out. An appropriate electronic circuit is proposed for the investigations of the complex dynamics behaviour of the system. A very good qualitative agreement is obtained between the theoretical/numerical and experimental results.

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Robust control with state decoupler for combined shape and gauge system in rolling process

Robust control with state decoupler for combined shape and g...

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International Conference on Automatic Control and Artificial Intelligence, ACAI 2012

作者： Jing, Peng Tong, Chaonan Hu, Changjun School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control for Iron and Steel Process Ministry of Education Beijing 100083 China School of Computer and Communication Engineering University of Science and Technology Beijing Beijing 100083 China

ISBN: (纸本)9781849195379

Considering the dynamic characteristics of the deformation zone, a new model of combined shape and thickness system in rolling process was proposed, regarding bending force and gauge as the main factors. Taking various kinds of secondary causes, perturbation and disturbance into consideration, robust control methods were brought in. A mathematic model was proposed based on field data, then static decoupler and robust controller were developed with benefit of robust control toolbox in MATLAB. Simulation results show the effectiveness of tracing and decoupling and robustness for parameter perturbation.

关键词： Robust control

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