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第28届中国控制与决策会议

作者： Wei Wu Steven Liu Bao Tong Cui Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Jiangnan University Institute of Control Systems Department of Electrical and Computer EngineeringUniversity of Kaiserslautern

ISBN: (纸本)9781467397155

In this paper an improved method is proposed to convert multi-variable dependent time-varying systems into a polytopic representation with uncertain parameters for further stability *** on the Taylor expansion,the employed technique utilizes a specific arrangement of the cross-variable terms such that the obtained vertices of the polytopic system increases only polynomially with the order of the Taylor *** example about stability analysis demonstrates the effectiveness and usefulness of the proposed method in robust stability studies.

关键词： Time-varying systems polytopic representation robust stability

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Scaled group consensus of delayed second-order multi-agent systems

Scaled group consensus of delayed second-order multi-agent s...

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World Congress on Intelligent control and Automation (WCICA)

作者： Xiangjun Li Chenglin Liu Fei Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi China Jiangnan University Wuxi Jiangsu CN

ISBN: (纸本)9781467384155

Scaled group consensus problem of second-order multi-agent systems is investigated in this paper, and the dynamical and stationary consensus protocols are proposed respectively. Firstly, scaled group consensus is analyzed for the second-order multi-agent systems with directed interconnection topology. Subjected to time-varying communication delay, then, the dynamical and stationary consensus protocols in synchronously-coupled forms are adopted for the second-order multi-agent systems, and delay-dependent sufficient consensus conditions in the form of Linear matrix inequalities (LMIs) are obtained by constructing Lyapunov-Krasovskii functional. Finally, simulation examples are given to verify the theoretical results.

关键词： Eigenvalues and eigenfunctions Multi-agent systems Topology Protocols Delays Network topology Delay effects

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RBF Neural Network Based Adaptive Constrained PID control of a Solid Oxide Fuel Cell

RBF Neural Network Based Adaptive Constrained PID Control of...

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第28届中国控制与决策会议

作者： Dezhi Xu Wenxu Yan Nan Ji Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Institute of AutomationJiangnan University College of Internet of Things Jiangnan University

ISBN: (纸本)9781467397155

This paper proposes a radial basis function(RBF) neural network based adaptive constrained PID control scheme for a solid oxide fuel cell(SOFC).First,a RBF neural network is designed for identification the dynamic model of *** Jacobian information can be obtained through the identification RBF ***,an on-line PID parameters tuning algorithm is designed by gradient descent *** same time,in order to solve the input saturation problem,we design an anti-windup compensator for accommodate the ***,the simulation results on the dynamic model of SOFC are provided to demonstrate the effectiveness of the proposed constrained control approach.

关键词： Neural network adaptive PID control constrained control dynamic anti-windup solid oxide fuel cell

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Online Batch process Monitoring Based on Just-in-Time Learning and Independent Component Analysis

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Journal of Donghua University(English Edition) 2016年第6期33卷 944-948页

作者： WANG Li SHI Hong-bo School of Electrical and Electronic Engineering Shanghai Institute of Technology Shanghai 200230 China Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai 200237 China

A new method was developed for batch process monitoring in this paper. In the devdopad method, just-in-time learning （ JITL ） and independent component analysis （ICA） were integrated to build JITL-ICA monitoring scheme. JITL was employed to tackle with the characteristics of batch process such as inherent time- varying dynamics, multiple operating phases, and especially the case of uneven length stage. According to new coming test data, the most correlated segmentation was obtained from batch-wise unfolded training data by JITL. Then, ICA served as the principal components extraction approach. Therefore, the *** distributed data can also be addressed under this modeling framework. The effectiveness and superiority of JITL-ICA based monitoring method was demonstrated by fed-batch penicillin fermentation.

关键词： batch process monitoring just-in-time learning(JITL) independent component analysis(ICA)

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Fault Tolerant Flight-control via control Allocation for Reusable Launch Vehicles with Aerodynamic control Surfaces Stuck

Fault Tolerant Flight-Control via Control Allocation for Reu...

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第35届中国控制会议

作者： Dezhi Xu Yao Tang Nan Ji Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education)Institute of Automation Jiangnan University Editorial Office of Journal Systems Engineering and Electronics

ISBN: (纸本)9781509009107

In this paper,a reconfiguration flight-control via control re-allocation is developed for a reusable launch vehicle(RLV) under aerodynamic control surfaces *** dynamic control re-allocation scheme is based on real-time computation of linear matrix inequalities(LMIs).In the approach proposed here,control allocation is formulated as an optimization problem to minimize the performance *** into account non-negligible dynamics of the actuators with hard constraints,the presented scheme extends the existing algorithms by providing asymptotic tracking of time-varying input commands for a class of ***,simulation results of X-3 3 reentry vehicle model dynamic show the effectiveness of the reconfiguration approach developed in this study.

关键词： Actuator faults stuck fault-tolerant control(FTC) linear matrix inequalities(LMIs) reusable launch vehicle(RLV)

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Cooperative control of heterogeneous multi-agent systems via distributed adaptive output regulation under switching topology

Cooperative control of heterogeneous multi-agent systems via...

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Annual Conference of Industrial Electronics Society

作者： Ruohan Yang Hao Zhang Huaicheng Yan Fuwen Yang Department of Control Science and Engineering Tongji University Shanghai China Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai China School of Engineering Griffith University Australia

A novel distributed adaptive output feedback control strategy is developed to solve the cooperative output regulation problem of heterogeneous general linear multi-agent systems(MASs) under switching topology. The proposed control strategy avoids using the minimal non-zero eigenvalue of Laplacian matrix when calculating gain matrix, and the communication topology is assumed to contain a directed spanning tree only frequently. It is shown that individual agents could track external signal asymptotically and achieve disturbance rejection. Ultimately, a simulation is presented to exemplify the effectualness of the main result.

关键词： Topology Switches Laplace equations Output feedback Eigenvalues and eigenfunctions Adaptive control

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An agent-based service-oriented integration architecture for chemical process automation

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Chinese Journal of chemical Engineering 2015年第1期23卷 173-180页

作者：罗娜钟伟民万锋叶贞成钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education

In reality, traditional process control system built upon centralized and hierarchical structures presents a weak response to change and is easy to shut down by single failure. Aiming at these problems, a new agent-based service-oriented integration architecture was proposed for chemical process automation system. Web services were dynamically orchestrated on the internet and agent behaviors were built in them. Data analysis, model, optimization, control, fault diagnosis and so on were capsuled into different web services. Agents were used for service compositions by negotiation. A prototype system of poly(ethylene terephthalate) process automation was used as the case study to demonstrate the validation of the integration.

关键词： Automation system Integration Web services Service-oriented architecture Agent

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SSVEP recognition using multivariate linear regression for brain computer interface

SSVEP recognition using multivariate linear regression for b...

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IEEE International Conference on Computer and Communications, ICCC 2015

作者： Wang, Haiqiang Zhang, Yu Jin, Jing Wang, Xingyu Key Laboratory for Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology China

ISBN: (纸本)9781467381253

Until now, the canonical correlation analysis (CCA)-based method has been most widely applied to steady-state visual evoked potential (SSVEP). Artificial sine-cosine signals are used as the original references in the CCA method, which could hardly reflect the real SSVEP features buried in electroencephalogram (EEG). In this study, we use principal component analysis (PCA) to extract EEG features multivariate linear regression (MLR) is implemented on EEG and the specific sample labels. Experimental results show that the proposed MLR method outperformed other two competing methods for SSVEP recognition, especially in short time window. © 2015 IEEE.

关键词： Brain computer interface

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Strategy of changing cracking furnace feedstock based on improved group search optimization

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Chinese Journal of chemical Engineering 2015年第1期23卷 181-191页

作者：年笑宇王振雷钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education

The scheduling process of cracking furnace feedstock is important in an ethylene plant. In this paper it is described as a constraint optimization problem. The constraints consist of the cycle of operation, maximum tube metal temperature, process time of each feedstock, and flow rate. A modified group search optimizer is proposed to deal with the optimization problem. Double fitness values are defined for every group. First, the factor of penalty function should be changed adaptively by the ratio of feasible and general solutions. Second, the "excellent" infeasible solution should be retained to guide the search. Some benchmark functions are used to evaluate the new algorithm. Finally, the proposed algorithm is used to optimize the scheduling process of cracking furnace feedstock. And the optimizing result is obtained.

关键词： Cracking furnace Scheduling of feedstock Group search optimizer Adaptive penalty function Double fitness values

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Activated sludge model parameters calibration based on multi-objective PSO

Activated sludge model parameters calibration based on multi...

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International Conference on Environmental Engineering and Computer Application, ICEECA 2014

作者： Wang, R.R. Cao, L.L. Liu, M.D. Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology China

ISBN: (纸本)9781138028074

The model of an Orbal oxidation ditch activated sludge process was set up based on ASM3 and Takacs’s double index settlement rate of secondary sedimentation tank model in this paper. According to the condition of the multi-objective output simulation model, multi-objective particle swarm optimization algorithm (MOPSO) is used to calibrate part of the high sensitivity parameters in the activated sludge process model. Simulation results show that the effectiveness of MOPSO for parameter calibration is obvious, which can further improve the accuracy of the model. © 2015 Taylor & Francis Group, London.

关键词： Activated sludge process

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