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International Conference on Mechatronics and control (ICMC)

作者： Sumei Chu Wangli He Qing-Long Han Feng Qian The Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China Centre for Intelligent and Networked Systems Central Queensland University Rockhampton Australia

ISBN: (纸本)9781479925391

This paper investigates synchronization of dynamical networks with both system delay and transmission delay by applying pinning impulsive control. Based on the comparison theorem and the theory of impulsive functional differential equations, some novel criteria are obtained, from which the proportion of pinned nodes is able to be determined. A numerical example is given to verify the effectiveness of the theoretical results.

关键词： Synchronization Delays Trajectory Couplings Neural networks Delay effects Network topology

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Network design for distributed consensus estimation over heterogeneous sensor networks 19

Network design for distributed consensus estimation over het...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Yang, Wen Shi, Ling Yuan, Ye Wang, Xiaofan Shi, Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong Hong Kong Department of Engineering University of Cambridge United Kingdom Department of Automation Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9783902823625

This paper considers distributed estimation over heterogeneous sensor networks. We propose a distributed estimation strategy based on PageRank algorithm, where the link weight depends on the edge estimation covariances. We prove that the proposed estimator obtains better estimates than one typical estimator under identical initial conditions. Motivated by the advantage of the sensors with high accuracy locating at important positions, we propose an optimal sensor deployment strategy to arrange locations for sensors in a given physical network. Numerical examples are provided to demonstrate the effectiveness of the proposed estimator, showing a better performance under the optimal sensor deployment. © IFAC.

关键词： Sensor networks

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An immune inspired approach to 802.11 Wireless LANs coverage optimization

An immune inspired approach to 802.11 Wireless LANs coverage...

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International Conference on Information Networking and Automation (ICINA)

作者： Xuan Zhou Rongbin Qi Qian Li Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China School of Electronics and Information University of Tongji Shanghai China

ISBN: (纸本)9781424481040

Coverage optimization is a critical issue in 802.11 Wireless LANs planning problems. In this paper an immune network algorithm named opt-aiNet is studied in order to automatize the planning process by optimizing the BS's (Base Station) sites. Compared the results of opt-aiNet and genetic algorithms(GA) which have been used in radio coverage optimization before, we found that opt-aiNet could find the optimal solution all times while GA falling into local optimum solution sometimes, and opt-aiNet converged more quickly than GA in most cases. Experimental results show that opt-aiNet is an effective way to optimize the 802.11 Wireless LANs planning problems.

关键词： Education Gallium Indexes Computational modeling

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Impulsive Synchronization of Complex Dynamical Networks with Distributed Delays

Impulsive Synchronization of Complex Dynamical Networks with...

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第三十三届中国控制会议

作者： Sumei Chu Wangli He Qing-Long Han Feng Qian The Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Centre for Intelligent and Networked Systems Central Queensland University Rockhampton QLD 4702Australia

ISBN: (纸本)9781479947249

This paper investigates synchronization of complex dynamical networks with distributed-delay coupling via impulsive *** on the theory of impulsive functional differential equations and the concept of an average impulsive interval,sufficient conditions ensuring synchronization are *** illustrative example is given to show the effectiveness of the proposed method.

关键词： Synchronization,Impulsive control,Distributed-delay coupling

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Real-time optimization and control of an industrial ethylbenzene dehydrogenation process

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chemical Engineering Transactions 2017年 61卷 331-336页

作者： Wang, Xiaoqiang Mahalec, Vladimir Li, Zhi Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Ministry of Education Shanghai200237 China Department of Chemical Engineering McMaster University HamiltonONL8S 4L7 Canada

Styrene is one of the most important monomers in the petrochemical industry. In this study, a novel methodology for tight integration of Real-Time Optimization (RTO) and Model Predictive control (MPC) is applied to an industrial ethylbenzene dehydrogenation process for producing styrene. This optimization-control framework is able to improve the automation level of ethylbenzene dehydrogenation process under various unfavourable conditions, especially the plant-model mismatch and disturbances. In the RTO layer, a constraint-adaptation strategy is adopted, which makes it easier to update the steady-state model. In the MPC layer, an MPC with Nonlinear Successive Linearization (MPC-NSL) is employed to deal with the nonlinear dynamic characteristics of the process and to match the steady-state gain at the steady-state point. In addition, an economic Steady-State Target Optimization (SSTO) layer is inserted between RTO and MPC layers to update continuously the set-points for MPC. The two-layered integration framework is easy to maintain because the models adopted in the three layers originate from the same nonlinear dynamic model. The comprehensive dynamic model of the styrene process is developed based on two large core fixed-bed axial-radial flow reactors described by Partial Differential Algebraic Equations (PDAE). The model parameters are corrected, and accuracy is validated using actual industrial data before it is used for simulation. Case study shows that the proposed optimization-control framework significantly improves the operation level. Copyright © 2017, AIDIC Servizi S.r.l.

关键词： Model predictive control

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Impulsive quasi-synchronization of delayed dynamic networks with asymmetric connections

Impulsive quasi-synchronization of delayed dynamic networks ...

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Annual Conference of Industrial Electronics Society

作者： Wangli He Chen Peng Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China School of Mechatronic Engineering and Automation Shanghai University P.R. China

Quasi-synchronization of heterogenous dynamic networks is studied by using impulsive control in this paper. The asymmetric network connections are considered. First, the weighted average state is introduced as the virtual leader. By defining the synchronization error between the virtual leader and the network node, impulsive quasi-synchronization is analyzed and a criterion is derived to ensure quasi-synchronization in the delayed heterogenous network. Then delayed networks with symmetric connections and delay-free networks are studied, respectively, with simpler conditions obtained. Numerical simulations demonstrate the effectiveness of the derived results.

关键词： Synchronization Heterogeneous networks Eigenvalues and eigenfunctions Trajectory Network topology Optimization chemical processes

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Fast consensus of directed network via optimal pinning control

Fast consensus of directed network via optimal pinning contr...

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Chinese control Conference (CCC)

作者： Wen Yang Ying Wang Xiaofan Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education Shanghai 200237 China Department of Automation Shanghai Jiaotong University 200240 China

In this paper, we consider fast and desired consensus of directed network via pinning control. First, we provide a sufficient condition for the stability of desired consensus algorithm. Second, we investigate the problem of selecting optimal pinned nodes for driving fastest consensus, which is formulated as an Mixed-Integer Semidefinite Program. Finally, we illustrate all the results by simulating on some typical directed networks.

关键词： Convergence Eigenvalues and eigenfunctions Switches Complex networks Optimization

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Event-triggered distributed predictive control for constrained large-scale linear systems

Event-triggered distributed predictive control for constrain...

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Chinese control Conference (CCC)

作者： Xu Su Yuanyuan Zou Yugang Niu Tinggang Jia Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai Shanghai CN Automation Division Shanghai Electric Group Co. Ltd China

This paper investigates the problem of event-triggered dual-mode distributed predictive control (DPC) for constrained large-scale linear systems subject to bounded disturbances. Based on input-to-state stability (ISS) theory, the event-triggering condition involving information of the subsystem itself is derived. A dual-mode predictive control scheme is designed to reduce information exchanges with neighboring subsystems. The upper bound of disturbances for ensuring the recursive feasibility and closed-loop stability are developed. Finally, a simulation example is given to show that the presented method is able to save computation resources and communication resources while guaranteeing the desired control performance.

关键词： Silicon Predictive control Optimization Large-scale systems Stability analysis Trajectory Linear systems

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Modeling of Binary Phase Equilibrium in Supercritical Ethylene coordination Polymerization System

Modeling of Binary Phase Equilibrium in Supercritical Ethyle...

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Asian Polyolefin Workshop (APO2013)2013亚洲聚烯烃研讨会

作者： Keran Chen Tian Zhou Boping Liu State Key Laboratory of Chemical Engineering East China University of Science and Technology Meilong Road 130 Shanghai 200237 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Meilong Road 130 Shanghai 200237

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Effective Resource Allocation in Cooperative Co-evolutionary Algorithm for Large-Scale Fully-Separable Problems

Effective Resource Allocation in Cooperative Co-evolutionary...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Wei Du Le Tong Yang Tang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China The College of Information Mechanical and Electrical Engineering Shanghai Normal University Shanghai China

ISBN: (数字)9781728185262

ISBN: (纸本)9781728185279

This paper investigates the effective computational resource allocation for large-scale fully-separable problems under the framework of a cooperative co-evolutionary algorithm called MLSoft. According to different subgroup sizes of the problems, we allocate different numbers of iterations to the subproblems in all the cycles. For high-dimensional subproblems, more iterations are needed during the optimization process; while for low-dimensional subproblems, fewer iterations will be assigned. The experimental results reveal that the proposed resource allocation scheme is simple but effective, which can enhance the performance of MLSoft in solving large-scale fully-separable problems. In addition, we conduct a group of experiments to evaluate the results if a higher weight is assigned to more recent performance in MLSoft. The results show that introducing weight to the latest reward affects very little on the performance of MLSoft.

关键词： Adaptive systems Conferences Resource management Optimization

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