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The 8th World Congress on Intelligent control and Automation(第八届智能控制与自动化世界大会 WCICA 2010)

作者： Yunxia Pu Mandan Liu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

Effective monitoring and early warning for cracking severity are directly related to the ethylene production stability and the overall economic benefits. Elman neural network is used to establish the early warning model of cracking severity, and an improved Cultural Differential Evolution algorithm(ICDE) is proposed to training the model. This hybrid algorithm integrates Cultural algorithm(CA) and Differential Evolution algorithm(DE) together, and increases some measure indicators of evolution direction, to make the algorithm more adaptive. Simulation results show that this method gains accurate warning signals to the cracking working conditions timely and effectively, obtained satisfactory results.

关键词： Cultural differences Artificial neural networks Furnaces Training Next generation networking Predictive models Production

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Energy consumption monitoring of the steam pipe network based on affinity propagation clustering

Energy consumption monitoring of the steam pipe network base...

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World Congress on Intelligent control and Automation (WCICA)

作者： Xiazhu You Wenli Du Liang Zhao Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

The steam system is an important part of chemical utility system, but there are widespread phenomenon about lack of testing information, energy consumption configuration depend on given experience and wasting energy. So this paper puts forward a method about the steam pipe network system's status identification of different energy consumption based on the steam pipe network's characteristics of complex structure, much steam equipment, lack of testing information and difficult to build accurate mathematical model. The method based on affinity propagation clustering that can solve big set of data's clustering problem quickly and effective. As it is hard to find preference parameters and damping factor, this paper uses PSO to find the most optimal parameters in order to achieve the best clustering effect. This method is applied test both in classic data set and the steam pipe network of ethylene plant's status identification, the results show the effectiveness of this method.

关键词： Energy consumption Indexes optimization Clustering algorithms Temperature measurement Pattern recognition Frequency modulation

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Leader selection in multi-agent networks with switching topologies via submodular optimization

arXiv

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arXiv 2019年

作者： Chen, Kaile He, Wangli Tang, Yang Zhang, Wenle Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China

In leader-follower multi-agent networks with switching topologies, choosing a subset of agents as leaders is a critical step to achieve desired performances. In this paper, we concentrate on the problem of selecting a minimum-size set of leaders that ensure the tracking of a reference signal in a high-order linear multi-agent network with a set of given topology-dependent dwell time (TDDT). First, we derive a sufficient condition that guarantees the states of all agents converging to an expected state trajectory. Second, by exploiting submodular optimization method, we formulate the problem of identifying a minimal leader set which satisfies the proposed sufficient condition. Third, we present an algorithm with the provable optimality bound to solve the formulated problem. Finally, several numerical examples are provided to verify the effectiveness of the designed selection scheme. Copyright © 2019, The Authors. All rights reserved.

关键词： Topology

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Facet-controlled LiMn_(2)O_(4)/C as Deionization Electrode with Enhanced Stability and High Desalination Performance

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Nano-Micro Letters 2022年第11期14卷 75-86页

作者： Yuxin Jiang Liyuan Chai Dehe Zhang Fangping Ouyang Xiangyuan Zhou Sikpaam IAlhassan Sailin Liu Yingjie He Lvji Yan Haiying Wang Wenchao Zhang School of Metallurgy and Environment Central South UniversityChangsha 410083People’s Republic of China Chinese National Engineering Research Center for Control and Treatment of Heavy Metal Pollution Changsha 410083People’s Republic of China Water Pollution Control Technology Key Lab of Hunan Province Changsha 410083People’s Republic of China School of Physics and Electronics Hunan Key Laboratory for Super-Microstructure and Ultrafast Processand Hunan Key Laboratory of Nanophotonics and DevicesCentral South UniversityChangsha 410083People’s Republic of China State Key Laboratory of Powder Metallurgy and Powder Metallurgy Research InstituteCentral South UniversityChangsha 410083People’s Republic of China School of Chemical Engineering and Advanced Materials Faculty of SciencesEngineering and TechnologyThe University of AdelaideAdelaide 5005Australia

Battery materials as emerging capacitive deionization electrodes for desalination have better salt removal capacities than traditional carbon-based ***_(2)O_(4),a widely used cathode mate-rial,is difficult to utilize as a deionization electrode due to its structural instability upon cycling and Mn dissolution in aqueous-based ***,a facile and low-cost ball-milling routine was proposed to prepare a LiMn_(2)O_(4)material with highly exposed(111)*** prepared electrode exhibited relatively low dissolution of Mn during cycling,which shows its long cycle *** the hybrid capacitive deionization system,the LiMn_(2)O_(4)/C electrode delivered a high desalination capacity of 117.3 mg g^(−1) without obvious capacity decay at a voltage of 1.0 V with a 20 mM initial salt *** addition,the exposed(111)facets significantly alleviated Mn ion dissolution,which also enhanced the structural steadiness.

关键词： Deionization electrode Desalination Lithium-ion battery

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Quantized and networked predictive control for input-saturated systems

Quantized and networked predictive control for input-saturat...

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Chinese control Conference (CCC)

作者： Yuanyuan Zou Bei Chen Tinggang Jia Yugang Niu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

This paper investigates the problem of stabilizing predictive control for constrained systems with quantization and communication delays. Based on the quantization matrix, the input-saturated control systems with logarithmic quantizers are described as constrained control systems with structured norm-bounded uncertainties. A quantized and networked predictive control algorithm is presented by using a multirate delay compensation strategy. It is shown that the proposed predictive controller not only efficiently reduces the negative effects of the quantization and communication delays but also guarantees the closed-loop stability and constraints satisfaction. The simulation example shows the effectiveness of the derived method.

关键词： Delay Predictive control control systems Quantization Stability analysis Uncertainty Prediction algorithms

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Quantized H∞ control for stochastic nonlinear networked systems

Quantized H∞ control for stochastic nonlinear networked sys...

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Chinese control and Decision Conference, CCDC

作者： Huaicheng Yan Hongbo Shi Hao Zhang Haitao Zhao Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education Shanghai 200237 China Tongji University Shanghai Shanghai CN

In this paper, we are concerned with the quantized H ∞ control problem for a class of stochastic systems with random communication delays. The system under consideration involves signals quantization, Itô stochastic disturbance as well as random communication delays. The measured output and the control input quantization are considered simultaneously. We aim at designing an observer-based controller such that the dynamics of the filtering error is guaranteed to be exponentially stable in the mean square, and a prescribed H ∞ disturbance attenuation level is also achieved. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.

关键词： Educational institutions Delays Quantization (signal) Electronic mail Stochastic systems Laboratories optimization

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H∞ Fault Detection Filter Design for Networked Nonlinear Systems under Event-triggered Mechanism

H∞ Fault Detection Filter Design for Networked Nonlinear Sy...

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第36届中国控制会议

作者： Yuwei Zhao Huaicheng Yan Xisheng Zhan Congzhi Huang Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology College of Mechatronics and Control Engineering Hubei Normal University School of Control and Computer Engineering North China Electric Power University

The problem of H fault detection filtering for a class of discrete-time nonlinear system based on T-S fuzzy model is investigated in this *** the filtering network system,packet dropout and networked time-delay are considered *** event-triggered communication scheme is constructed to determine whether or not the current instant data should be *** detection filter is designed to guarantee the prescribed H performance for the filtering ***,a numerical example is given to illustrate the effectiveness of the proposed design method.

关键词： Fault detection filtering T-S fuzzy model event-triggered communication scheme

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Event-triggered Output Feedback H∞ control for Networked control Systems with Time-varying Sampling and Packet Losses

Event-triggered Output Feedback H∞ Control for Networked Co...

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第36届中国控制会议

作者： Chenyang Hu Huaicheng Yan Hao Zhang Shiming Chen Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology Department of Control Science and Engineering Tongji University School of Electrical and Electrical Engineering East China Jiaotong University

This paper is concerned with the event-triggered H control for the networked control systems with non-uniform sampling and packet losses via dynamic output feedback controller(DOFC).By proposing the event-triggered mechanism,in which the output of the system is sampled by a time-varying sampling period and only the necessary sampled data is transmitted through the communication network,and the network-induced delay and the packet losses are considered *** the proposed event-triggering mechanism,the closed-loop system is modelled as a time-delay *** on the model,some novel criteria in terms of linear matrix inequalities(LMIs) for co-designing both the desired DOFC and the event-triggered parameters are ***,a simulation example is employed to demonstrate the effectiveness of the proposed method.

关键词： Event-triggered H∞ control Networked control systems Time-varying sampling Packet losses

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Dynamic optimization of chemical processes using Symbiotic Organisms Search Algorithm

Dynamic Optimization of Chemical Processes using Symbiotic O...

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Chinese Automation Congress (CAC)

作者： Peng Tian Xu Chen Wenxiang Zhao Wenli Du School of Electrical and Information Engineering Jiangsu University Zhenjiang Jiangsu China Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai China

chemical process optimization problems are often modeled as dynamic optimization problems (DOPs). Due to the nonlinear, multimodal and multi-dimensional nature of DOPs, efficient solution of DOPs is a very challenging task. In this paper, a new intelligent search algorithm called symbiotic organisms search (SOS) is proposed for tackling the chemical DOPs. SOS mainly mimics three symbiotic relationships in ecosystem, namely mutualism, commensalism and parasitism, to perform global search. In addition, compared with previous intelligent search algorithms, SOS has the advantages of no tuning parameters, easy to implement and high performance. Combined with control vector parameterization, the proposed SOS is applied to solve five chemical DOPs with different levels of complexity. Simulation results show that SOS can achieve solutions with accuracy comparable to those methods in the literature, and thus can be regarded as an effective tool for the chemical DOPs.

关键词： optimization Heuristic algorithms chemicals Symbiosis Sociology Statistics Organisms

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Stable Distributed Model Predictive control strategy based on agent coordination

Stable Distributed Model Predictive Control strategy based o...

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Chinese control Conference (CCC)

作者： Mengling Wang Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai Shanghai CN

Many systems composed by several interacting subsystems are usually controlled by a distributed control framework. Distributed Model Predictive control (DMPC) strategy, in which each subsystem is controlled by a local MPC controller, has advantages of accommodating constraints, less computational cost and high flexibility. In order to improve the global performance and guarantee the system stability, a stabilized DMPC strategy is proposed in this paper, in which subsystems interact through inputs. At first, local initial feasible solutions are achieved based on a Minkowski functional to guarantee the local closed-loop system stabilization. And then the global optimal solutions are obtained through coordination strategy for the sake of reducing iteration time and accelerating the convergence speed efficiently. Finally, the accuracy and efficiency of the proposed scheme is put to test through simulation.

关键词： Cost function Equations Mathematical model Predictive control Stability analysis Trajectory

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