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International Conference on Intelligent control and Information processing (ICICIP)

作者： Xiang Zhou Xiaoli Li Dexin Liu Yixin Yin Xianzhong Chen Qingwen Hou Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education University of Science and Technology Beijing Beijing China University of Science and Technology Beijing Beijing Beijing CN

Iron making is the first stage and also an important part in steel making process, which will bring the problem of energy efficiency and economic benefits. In this process, the distribution of the blast burden impacts greatly on the production of BF (blast furnace). Therefore, the prediction of furnace burden distribution in furnace throat will play an important role in the control strategy of furnace burden. Based on the data from the multi-radar, the blast burden curve can be formed. Feature extraction and classification based on different curves (i.e. different pattern) can be made by using BP neural networks. The work proposed in this paper will be a guidance for the future research of burden surface based on the data of phased-array radar.

关键词： Turning Blast furnaces Radar imaging Feature extraction Surface treatment

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Fuzzy Event-triggered Disturbance Rejection control of Nonlinear Systems

Fuzzy Event-triggered Disturbance Rejection Control of Nonli...

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第31届中国过程控制会议（CPCC 2020）

作者： Peng Cheng Yanyan Yin Yanqing Liu Feng Pan Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) School of Internet of Things Jiangnan University School of Electrical Engineering Computing and Mathematical SciencesCurtin University

In this paper, we describe a novel method for constructing fuzzy based event-triggered disturbance rejection control for nonlinear systems. A new fuzzy event based anti-disturbance controller is designed and a reduced order disturbance observer is constructed. Sufficient conditions for the closed loop system to be asymptotically stable under an H∞ performance index are derived. Based on these conditions, the design of a fuzzy event-triggered state feedback controller is formulated and *** results are presented to demonstrate the correctness and effectiveness of our theoretical findings.

关键词： Fuzzy system Nonlinear systems Event trigger Disturbance rejection Asymptotically stable

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Software Design and Implementation for Obtaining ZigBee Network Structure Information

Software Design and Implementation for Obtaining ZigBee Netw...

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2011 IEEE 10th International Symposium on Distributed Computing and Applications to Business,Engineering(第十届电子商务、工程及科学领域的分布式计算和应用国际学术研讨会 DCABES 2011)

作者： Zhaomin Zhu Xiaofeng Gu Wenxue Li Lei He Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan Unive Suzhou Institute of Nano-tech and Nano-bionic Chinese Academy of Sciences Suzhou China

In this paper, we have developed a new method for ZigBee network structure to get timely information on the network, including the network address and the parent-child relationship of all the nodes. This method has be... 详细信息

关键词： ZigBee distributed addressing scheme network

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Lag Quasi-Synchronization of Coupled Delayed Systems With Parameter Mismatch

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IEEE Transactions on Circuits and Systems I: Regular Papers 2011年第6期58卷 1345-1357页

作者： Wangli He Feng Qian Qing-Long Han Jinde Cao Key Laboratory of Advanced Control and Optimization of Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Centre of Intelligent and Networked Systems and the School of Information and Communication Technology Central Queensland University Rockhampton QLD Australia Department of Mathematics South-East University Nanjing China

This paper is concerned with lag synchronization of two coupled delayed systems with parameter mismatch. Due to parameter mismatch, complete lag synchronization can not be achieved. Therefore, a new lag quasi-synchronization scheme is proposed to ensure that coupled systems are in a state of lag synchronization with an error level. Several simple criteria are derived and the error level is estimated by applying a generalized Halanary inequality and matrix measure. Three examples are given to illustrate the effectiveness of the proposed lag quasi-synchronization scheme. It is shown that as the coupling strength increases, the estimated error level is close to the simulated one, which well supports theoretical results.

关键词： Synchronization Measurement uncertainty Delay Linear matrix inequalities Trajectory Delay effects Couplings

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Consensus based Constrained optimization for Multi-agent Systems

Consensus based Constrained Optimization for Multi-agent Sys...

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IEEE Annual Conference on Decision and control

作者： Shuai Liu Lihua Xie Cheng-Lin Liu School of EEE Nanyang Technological University Singapore Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi 214122 China

ISBN: (纸本)9781479978878

By introducing multi-agent systems, a consensus based distributed optimization algorithm is considered in this paper. The state of each agent is to be controlled to reach a consensus on the global optimal set. From control point of view, the control input of each agent is designed based on neighbours' state information and local cost functions. Necessary and sufficient conditions on the convergence of the whole system are given in terms of graph connectivity and balancedness, as well as the persistence of the decaying step size. The convergence rate is given under some general assumptions. Last, some numerical examples are given to show the effectiveness of the control protocol.

关键词： Constrained optimization control protocol control input optimization algorithms Agents control point step size Neighbor Converge Sufficient conditions based

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Bipartite Consensus Problem of Harmonic Oscillators Based on Sampled-data

Bipartite Consensus Problem of Harmonic Oscillators Based on...

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第32届中国控制与决策会议

作者： Hang Tian Cheng-Lin Liu Guang-Ye Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of AutomationJiangnan University Shanghai Keliang Information Tech.& Eng.Co. Ltd

This paper is concerned with the bipartite consensus problem of sampled-data coupled harmonic oscillators by predictor factor under the fixed *** with the existing distributed protocol for synchronization in networks of coupled harmonic oscillators based on the sampled-data measurement,we propose a distributed bipartite consensus control protocol in which positive and negative interaction weights *** structurally balanced networks,we improve the convergence rate of the network via predictor *** and sufficient conditions are obtained for the well designed protocol to achieve bipartite consensus by using frequency-domain analysis and matrix ***,examples are shown to validate the convergence conditions.

关键词： Bipartite consensus Sampled-data coupled harmonic oscillators Predictor factor

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Event-triggered mixed control for Markov jump systems with time delay and input nonlinearity*

Event-triggered mixed control for Markov jump systems with t...

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Asian control Conference

作者： Liqiang Jin Yanyan Yin Fei Liu Kok Lay Teo Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi China Department of Mathematics and Statistics Curtin University Perth Western Australia Australia

ISBN: (纸本)9781728102634

In this paper, the problem of event-triggered mixed H ∞ and passive control for a class of time delay stochastic Markov jump systems subject to input constraint is addressed. In order to reduce network burden, a useful event-triggered scheme is proposed. Then, due to network-induced delays, a time-delay model analysis approach is used to reconstruct the system. Analysis and design methods of the state feedback event-triggered controller are derived to ensure that the resulting system is stochastically stable and satisfies mixed H ∞ and passive performance index. Sufficient conditions are obtained in terms of liner matrix inequalities. Finally, a numerical example is given to illustrate the effectiveness of the proposed approach.

关键词： Markov processes Delays Performance analysis Bandwidth control systems Symmetric matrices Delay effects

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Iterative learning control design for uncertain time-delay systems by generalized KYP synthesis

Iterative learning control design for uncertain time-delay s...

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第37届中国控制会议

作者： Wojciech Paszke Eric Rogers Hongfeng Tao Krzysztof Ga?kowski Institute of Control and Computation Engineering University of Zielona Góra Department of Electronics and Computer Science University of Southampton Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University

This paper deals with the problem of designing an iterative learning control scheme for uncertain time-delay systems using differential repetitive process stability theory. The resulting design produces a stabilizing feedback controller in the time domain and a feedforward controller that guarantees monotonic convergence in the trial-to-trial domain for all admissible uncertainties. The design procedures are delay dependent since the obtained results depend on the size of state delay and are also extended to limited frequency range design specification. A new design procedure is developed in terms of linear matrix inequalities, which guarantee prescribed performance specifications. Finally, a simulation example is given to illustrate the application of the new results.

关键词： Iterative learning control time-delay systems polytopic uncertainty finite frequency domain

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Application of Fuzzy Neural Network in Burden Surface Clustering

Application of Fuzzy Neural Network in Burden Surface Cluste...

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The 24th Chinese control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

作者： Dexin Liu Xiaoli Li Shuting Lu Dawei Ding Xianzhong Chen School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) Beijing 100083 China

Blast furnace charging distribution plays an important role in the steel production. The radar data containing the information of present burden surface situation and the cross thermometer data reflecting the trend of burden surface are taken as the training data of fuzzy neural network. The trained network will be used for the future clustering of the data. Considering the demand of energy-saving and consumption-decreasing, the method sets up the basic for the distribution control in the next step. The simulation results show the effectiveness of the proposed method.

关键词： Burden Surface Fuzzy Neural Network and Cluster

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LMI approach for stability in stochastic delayed neural systems

LMI approach for stability in stochastic delayed neural syst...

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International Conference on Natural Computation (ICNC)

作者： Xuyang Lou Yong Qiao B. T. Cui Q. Ye Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi China College of Internet of Things Technology Wuxi Institute of Technology Wuxi China

In this paper, the asymptotic stability analysis problem is considered for a class of stochastic Cohen-Grossberg neural networks with time-varying delays. We aim to construct easily verifiable conditions for the asymptotic stability in the mean square of the delayed neural networks. Via a Lyapunov functional and the Halanay inequality technique, several stability criteria are derived. Two examples are provided to illustrate the effectiveness and applicability of the proposed criteria.

关键词： Asymptotic stability Delays Stability criteria Symmetric matrices Stochastic processes Neural networks

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