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International Conference on control, Automation, Robotics and Vision (ICARCV)

作者： Xiaolu Liu Duxin Chen Yan-Wu Wang Huaicheng Yan School of Automation Huazhong University of Science and Technology Wuhan P. R. China School of Mathematics Southeast University Nanjing P. R. China Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology Shanghai P. R. China

This paper presents a fuzzy-model-based method for solving the consensus problem of a class of nonlinear multi-agent systems (MASs) with input saturation. Since each agent has nonlinear dynamics, the system is not asymptotically null controllable with bounded controls (ANCBC). Therefore, the widely-used low-gain feedback method for designing consensus protocols of MASs with input saturation can no longer work. To this end, the Takagi-Sugeno (T-S) fuzzy model is adopted to formulate the error dynamics of those nonlinear follower agents with input saturation as well as a leader with time-varying states. Accordingly, by using the properties of convex hull, a set of invariance condition in the format of linear matrix inequality (LMI) is designed. Furthermore, by enlarging the shape reference set, the estimation of the attraction domain can be obtained. Simultaneously, by viewing the control gain as an extra free parameter in the LMI optimization procedure, the leader-follower consensus algorithm is proposed, which guarantees that all followers with input saturation can track the leader, and they can asymptotically reach consensus. Finally, numerical experiments validate the effectiveness of the proposed anti-saturation consensus algorithm.

关键词： Automation Nonlinear dynamical systems STEM Actuators Symmetric matrices

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Improved Estimation of Distribution Algorithm for Solving Unrelated Parallel Machine Scheduling Problem

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Journal of Donghua University(English Edition) 2016年第5期33卷 797-802页

作者：孙泽文顾幸生 Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology

Scheduling problem is a well-known combinatorial optimization *** effective improved estimation of distribution algorithm(IEDA) was proposed for minimizing the makespan of the unrelated parallel machine scheduling problem(UPMSP).Mathematical description was given for the *** IEDA which was combined with variable neighborhood search(IEDA_VNS) was proposed to solve the UPMSP in order to improve local search ability.A new encoding method was designed for representing the feasible solutions of the *** knowledge of the UPMSP were taken consideration in IEDA_ VNS for probability matrix which was based the processing time *** simulation results show that the proposed IEDA_VNS can solve the problem effectively.

关键词： Scheduling neighborhood scheduling minimizing processed unrelated probabilistic intelligent heuristic representing

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Variable Classification-based Co-estimation of Distribution Algorithm Assisted by a Cooperative Particle Swarm Optimizer

Variable Classification-based Co-estimation of Distribution ...

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2017第二届亚太计算智能与信息技术学术会议 (APCIIT 2017)

作者： Wen Liu Xuefeng Yan East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology

Since estimation of distribution algorithms(EDAs) were proposed,many methods have been made to improve EDAs' performance. In this paper,a variable classification-based cooperative estimation of distribution algorithm(VC-CEDA) is proposed to balance the global and local searching ability of estimation of distribution algorithms. This study proposes a variable classification method to improve the efficiency and accuracy of probability model development. And a cooperative particle swarm optimizer that can improve the local searching ability is proposed. The VC-CEDA combines the advantages of traditional algorithm and cooperative operations. VC-CEDA shows significantly better performance on 10 test functions. In this study,the experimental results show that the VC-CEDA performs better than traditional EDAs.

关键词： Variable Classification-based Co-estimation of Distribution Algorithm Assisted by a Cooperative Particle Swarm Optimizer Swarm

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Variable Classification-based Co-estimation of Distribution Algorithm Assisted by a Cooperative Particle Swarm Optimizer

Variable Classification-based Co-estimation of Distribution ...

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2017 Asia-Pacific Computational Intelligence and Information Technology Conference

Since estimation of distribution algorithms(EDAs) were proposed,many methods have been made to improve EDAs' *** this paper,a variable classification-based cooperative estimation of distribution algorithm(VC-CEDA) is proposed to balance the global and local searching ability of estimation of distribution *** study proposes a variable classification method to improve the efficiency and accuracy of probability model *** a cooperative particle swarm optimizer that can improve the local searching ability is *** VC-CEDA combines the advantages of traditional algorithm and cooperative ***-CEDA shows significantly better performance on 10 test *** this study,the experimental results show that the VC-CEDA performs better than traditional EDAs.

关键词： Variable Classification-based Co-estimation of Distribution Algorithm Assisted by a Cooperative Particle Swarm Optimizer Swarm

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Exponential dissipative control of stochastic systems under wireless communication networks 35

Exponential dissipative control of stochastic systems under ...

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第35届中国控制会议

作者： SONG Jun NIU Yugang ZOU Yuanyuan Key Laboratory of Advanced Control and Optimization for Chemical Process(East China University of Science and Technology) Ministry of Education

ISBN: (纸本)9781509009107

In this work,the problem of dissipative control is investigated for stochastic systems under the unreliable wireless network,in which there may exist stochastic fading ***,a modified Rice fading model with disturbance-dependent noise is *** then,a state-feedback controller with fading measurements is designed and the some sufficient conditions are derived such that the closed-loop system is finite-time stochastic bounded with a prescribed exponentially dissipative ***,numerical simulation results are provided.

关键词： Stochastic systems fading channel dissipative control

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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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Pareto-Based Complete Local Search and Combined Timetabling for Multi-objective Job Shop Scheduling Problem with No-Wait Constraint

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Journal of Donghua University(English Edition) 2016年第4期33卷 601-609,624页

作者：杨玉珍顾幸生 School of Electrical Engineering Shanghai Dianji University Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology

Job shop scheduling has become the basis and core of advanced manufacturing technology. Various differences exist between academic research and practical production. The majority of previous researches on job shop scheduling problem (JSSP)describe the basic production environment, which have a single objective and limited constraints. However,a practical process of production is characterized by having multiple objectives,no-wait constraint,and limited storage. Thus this research focused on multiobjective,no-wait JSSP. To analyze the problem,it was further divided into two sub-problems, namely, sequencing and timetabling. Hybrid non-order strategy and modified complete local search with memory were used to solve each problem individually. A Pareto-based strategy for performing fitness assessment was presented in this study. Various experiments on benchmark problems proved the feasibility and effectiveness of the proposed algorithm.

关键词： Pareto Scheduling scheduling constraints benchmark crossover fitness performing objectives sequencing

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L2- L∞state estimation for discrete-time delayed neural networks with missing measurements and randomly occurring sensor linearity 35

L2- L∞state estimation for discrete-time delayed neural net...

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35th Chinese control Conference, CCC 2016

作者： Zhang, Hao Yan, Huaicheng Shi, Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education Shanghai200237 China Department of Control Science and Engineering Tongji University Shanghai200092 China

ISBN: (纸本)9789881563910

This paper is concerned with the L2- L∞state estimation problem for discrete-time delay neural networks with missing measurements and randomly occurring sensor linearity. The phenomena of missing measurements and randomly occurring sensor linearity are constructed with two sequences of random variables, which obey the partial Bernoulli distribution. A sufficient condition is firstly given such that the augmented filtering error system is stochastically stable with a guaranteed optimal L2- L∞performance by solving a set of linear matrix inequalities(LMIs). Finally, a simulation example is given to show the effectiveness of the proposed method. © 2016 TCCT.

关键词： discrete-time delayed neural networks L2 - L∞ state estimation missing measurements randomly occurring sensor linearity

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An energy efficient clustering and relay node selection algorithm in wireless sensor networks 35

An energy efficient clustering and relay node selection algo...

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第35届中国控制会议

作者： HU Yuan JIA Tinggang NIU Yugang Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education (East China University of Science and Technology) Automation Division of Shanghai Electric Group Co. Ltd.

ISBN: (纸本)9781509009107

Wireless sensor networks utilize large numbers of sensors to perform sensing and forwarding tasks in the monitoring *** to the resources constraints of sensors and the energy efficiency QoS requirement,prolonging the network lifetime is a major concern in *** is an efficient approach to reduce energy consumption since it can reduce data transmission of the *** most traditional clustering protocols,the cluster heads（CHs） aggregate the coming data from their cluster members（CMs） and send the aggregated data to the remote sink node directly or visa other ***,assigning a node to serve as CHs and relay nodes simultaneously may result in unbalanced energy *** energy efficient overlapping clustering and relay node selection algorithm is proposed,which selects different nodes as CHs and relay node to attain the balancing of energy consumption of the network.A direction fitness metric is designed to select the proper boundary nodes in the overlapping area to serve as relay *** results show that the proposed algorithm significantly prolongs the network lifetime.

关键词： Wireless sensor networks energy efficiency clustering relay nodes multi-hop

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