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International Conference on Electrical and control Engineering (ICECE)

作者： Xu Bin Wang Honggang Qi Rongbin Qian Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai China Key Laboratory of Advanced Control East China University of Science and Technology Shanghai China

This paper proposes a novel multi-objective optimization algorithm: differential evolution inspired clone immune multi-objective optimization algorithm (DECIMO). The novel algorithm uses a space-filling experimental design named symmetric Latin hypercube design (SLHD) to initialize the population which can obviously improve the uniformity of the individual distribution. A permutation of population individual indexes is generated and then a neighborhood for each population individual is defined according to the permutation. A differential evolution inspired neighborhood recombination operator, which based on the neighbors of each population member, is proposed to balance the exploration and exploitation abilities of the algorithm with no compromise of efficiency. The DE inspired operator is then invoked into the clone immune algorithm (CIA) to solve multi-objective problems (MOPs). We compare the proposed algorithm with NSGA2 and SPEA2 by executing it to 5 famous test functions. The results show that the proposed algorithm can fast converge to the global Pareto front and also can sustain a very uniform distribution. It is a potential algorithm for solving MOPs.

关键词： Cloning Algorithm design and analysis optimization Evolutionary computation Erbium Hypercubes Measurement

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Stabilization of LTI Systems via State Feedback over Digital Block-Fading Channels

Stabilization of LTI Systems via State Feedback over Digital...

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第三十二届中国控制会议

作者： XIAO Nan XIE Lihua NIU Yugang Key Laboratory of Advanced Control and Optimization for Chemical Process East China University of Science and Technology Ministry of Education EXQUISITUS Centre for E-City School of Electrical and Electronic Engineering Nangyang Technological University

ISBN: (纸本)9781479900305

This paper studies the state feedback stabilization of LTI plants over wireless block-fading channels. The packet-loss rate of each channel depends on power level and packet length used for transmission as well as channel power gain. Different from the case of fixed packet-loss rate, the packet-loss rate considered in this paper is random and time-varying as the channel power gain is so for wireless communication. When power level and packet length are assumed to be time-invariant for every transmission at each channel, necessary and sufficient conditions for mean square stabilizability via state feedback are given in terms of the unstable poles of the plant. The performance defined as the asymptotic mean square norm of the system state is also discussed for the scalar case.

关键词： Block-Fading Channels, Digital Communication, Packet Losses, Stabilization, State Feedback

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Development and challenges of planning and scheduling for petroleum and petrochemical production

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Frontiers of Engineering Management 2020年第3期7卷 373-383页

作者： Fupei LI Minglei YANG Wenli DU Xin DAI School of Information Science and Engineering East China University of Science and TechnologyShanghai 200237China Key Laboratory of Advanced Control and Optimization for Chemnical Processes Minitry of EducationEast China University of Science and TechnologyShanghai 200237China

Production planning and scheduling are becoming the core of production management,which support the decision of a petrochemical *** optimization of production planning and scheduling is attempted by every refinery because it gains additional profit and stabilizes the daily *** optimization problem considered in industry and academic research is of different levels of realism and complexity,thus increasing the *** research with mathematical programming is a conventional approach used to address the planning and scheduling ***,modeling the processes,objectives,and constraints and developing the optimization algorithms are significant for industry and *** paper introduces the perspective of production planning and scheduling from the development viewpoint.

关键词： planning and scheduling optimization modeling

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Consensusability of Linear Multi-Agent Systems over Analog Fading Networks via Dynamic Output Feedback 33

Consensusability of Linear Multi-Agent Systems over Analog F...

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第三十三届中国控制会议

作者： Xu Liang Xiao Nan Xie Lihua EXQUISITUS Centre for E-CitySchool of Electrical and Electronic EngineeringNanyang Technological University Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education

ISBN: (纸本)9781479947249

This paper studies the dynamic output feedback consensus problem of multi-agent systems over analog fading *** the case of undirected communication topology,both sufficient and necessary conditions are presented for mean square consensus of discrete-time LTI multi-agent systems over analog fading *** is further shown that in the case of single output,the sufficient condition is also necessary,while for other cases,the gap between the sufficient condition and the necessary condition may be ***,sufficient and necessary conditions are also provided for the mean square consensus over a balanced directed communication topology by using Lyapunov *** the derived criteria demonstrate intricately how system dynamics,communication quality and network topological structure interplay with each other to allow the existence of a linear distributed consensus controller.

关键词： discrete-time multi-agent systems,dynamic output feedback,consensusability,fading channels

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A fast MPC algorithm for reducing computation burden of MIMO

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Chinese Journal of chemical Engineering 2015年第12期23卷 2087-2091页

作者：祁荣宾梅华陈超钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology

The computation burden in the model-based predictive control algorithm is heavy when solving QR optimization with a limited sampling step, especially for a complicated system with large dimension. A fast algorithm is proposed in this paper to solve this problem, in which real-time values are modulated to bit streams to simplify the multiplication. In addition, manipulated variables in the prediction horizon are deduced to the current control horizon approximately by a recursive relation to decrease the dimension of QR optimization. The simulation results demonstrate the feasibility of this fast algorithm for MIMO systems.

关键词： Fast MPC algorithm Computation burden One-bit operation Dimension reduction

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Event-triggered model predictive control for wireless networked control system

Event-triggered model predictive control for wireless networ...

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International Conference on Mechatronics and control (ICMC)

作者： Quan Wang Yuanyuan Zou Yugang Niu Key Laboratory of Advanced Control and Optimization for Chemical Processes East China Univ. of Science and Technology Shanghai China

ISBN: (纸本)9781479925391

In order to save communication consumption in the wireless nodes of networked control systems, this paper investigates the stabilization problem of an event-triggered constrained model predictive control. A state-feedback predictive control law is designed by solving an infinite horizon performance objective and an event-triggered condition involving the norm of a measurement error is derived based on input-to-state stability. Under the proposed mechanism, the measurements are sent by wireless network and the predictive control optimization is implemented only when the triggering conditions are satisfied. This approach not only can alleviate the energy consumption but also achieves the desired control performance and constraints satisfaction. Finally, an example is given to illustrate the effectiveness of the proposed results.

关键词： Predictive control Wireless sensor networks Networked control systems Closed loop systems Wireless networks

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A Fast Global Group Search Optimizer algorithm

A Fast Global Group Search Optimizer algorithm

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International Conference on Information and Automation (ICIA)

作者： Kang Zhang Xingsheng Gu Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Ministry of Education Shanghai

The Group Search Optimizer(GSO) is a novel optimization algorithm, which is inspired by searching behavior of animals. In this paper, we proposed an improved GSO algorithm named Fast Global Group Search Optimizer(FGGSO) to increase searching speed and balance the exploitation and exploration of the algorithm, which is based on our previous works. At first time, considering the complexity and time-consuming design of the producer's angle searching strategy, a novel local search mechanism, named campaign strategy, is developed, which is inspired by competition and cooperation between candidates in an electoral process. After that, a reconstruction operation is applied in searching process to guarantee the avoidance of the local minimum. The algorithm is evaluated on a set of 11 numerical optimization problems and compared favorably with other version of GSOs. Experimental results indicate the remarkable improvement on the performance of these problems.

关键词： optimization Standards Animals Acceleration Biological system modeling Convergence Search problems

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Automatic ocular artifact suppression from human operator's EEG based on a combination of independent component analysis and fuzzy c-means clustering techniques

Automatic ocular artifact suppression from human operator's ...

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Chinese control Conference (CCC)

作者： Raofen Wang Jianhua Zhang Xingyu Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai 200237 China

Independent component analysis (ICA) and fuzzy c-means (FCM) clustering were adopted for automatic ocular artifact suppression from operator's electroencephalogram. Firstly, ICA was applied to the 20s data containing nine channels of EEG data and one of electrooculagram (EOG) data. Secondly, each 20s independent component (IC) was partitioned into ten 2 s epochs. And five features of each epoch were calculated, which are wavelet entropy, power in the band between 0 and 5 Hz, kurtosis, mutual information and correlation. Thirdly, the epochs were classified as either EEG or ocular artifact based on the result of FCM clustering. And then components which were recognized as ocular artifact were rejected. Clean EEG was obtained. The result shows that the method based on ICA and FCM can be applied to online automatic ocular artifact suppression from EEG.

关键词： Electroencephalography Electrooculography Independent component analysis Entropy Electronic mail optimization Laboratories

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Semi-Global Containment control of Linear Agents with Actuator Position and Rate Saturation: The State Feedback Case

Semi-Global Containment Control of Linear Agents with Actuat...

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Chinese control Conference (CCC)

作者： Zhiyun Zhao Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai P. R. China

This paper studies semi-global containment control problem for a multi-agent system. Each follower agent in the system is described by a general linear system in the presence of both actuator position and rate saturation. A linear state feedback containment control law is constructed for each follower agent by using low gain approach such that the states of all follower agents will converge to the convex hull formed by the leader agents asymptotically when the communication topology among follower agents is a connected undirect graph and each leader agent is a neighbor of at least one follower agent. Simulation results illustrate the theoretical results.

关键词： Actuators Multi-agent systems State feedback Linear systems Topology Output feedback Decentralized control

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Multiple models robust adaptive control with reduced model

Multiple models robust adaptive control with reduced model

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2010 8th IEEE International Conference on control and Automation, ICCA 2010

作者： Liu, Jiazhen Wang, Zhenlei Wang, Xin Wang, Dahai Qian, Feng East China University of Science and Technology China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Center of Electrical and Electronic Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781424451951

The traditional robust adaptive control broadens the application of the routine adaptive control because of considering the uncertainty of the practice plant. However, traditional robust adaptive control solves the problem that the plant would be unstable under some uncertainties and it often ignores the dynamic property and steady-state property, which makes the traditional robust adaptive control unfit for practice plant, whose working condition changes randomly. To solve these problems, this paper designs multiple models robust adaptive controller for the plant which can be describeled by Autoregressive Moving Average (ARMA) model and with unmodeled dynamics. First, the normalization factor is used to convert the system unmodeled dynamic to bounded disturbance, and then, many fixed controller and two robust adaptive controllers are designed based on system reduced model according to the changing range of the working condition and the best controller computed by the performance index is chosen as the working controller. Simulation illustrates that the proposed method is preferable when there are unmodeled dynamics and changing working condition. © 2010 IEEE.

关键词： controllers

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