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第36届中国控制会议

作者： Yan Dong Zhaoxu Yu Fangfei Li Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology Department of Mathematics East China University of Science and Technology

ISBN: (纸本)9781538629185

This paper focuses on the problem of adaptive output feedback tracking control for a class of nonstrict-feedback nonlinear systems with unknown control coefficients and quantized input. The difficulty from the unknown control direction is solved by using the linear state transformation and the Nussbaum gain function（NGF） approach. Based on the combination of input-driven observer, backstepping technique, neural network（NN） parametrization and variable separation method, a novel adaptive output feedback quantized control scheme involving only one adaptive parameter is developed for such systems. The designed quantized controller ensures that all signals of closed-loop systems are semi-globally uniformly ultimately bounded（SGUUB）, and the tracking error converges to an adjustable neighborhood of the origin. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed control design.

关键词： Nonstrict-feedback systems quantized input signal output feedback adaptive control unknown control direction

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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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Modeling and optimization of the Steam Turbine Network of an Ethylene Plant

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Chinese Journal of Chemical Engineering 2013年第5期21卷 520-528页

作者：李泽秋赵亮杜文莉钱锋 Key Laboratory of Advanced Control and Optimization for chemical Process (hTlinistry of t~ducation) East ChinaUniversity of Science and Technology Shanghai 200237 China

In this paper,we developed a hybrid model for the steam turbines of a utility system,which combines an improved neural network model with the thermodynamic ***,a nonlinear programming(NLP) model of the steam turbine network is formulated by utilizing the developed steam turbine models to minimize the total steam cost for the whole steam turbine ***,this model is applied to optimize the steam turbine network of an ethylene *** obtained results demonstrate that this hybrid model can accurately estimate and evaluate the performance of steam turbines,and the significant cost savings can be made by optimizing the steam turbine network operation at no capital cost.

关键词： hybrid model steam turbine network utility system economic objective

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Prediction Consensus-Based Distributed Kalman Filtering with Packet Loss 36

Prediction Consensus-Based Distributed Kalman Filtering with...

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第36届中国控制会议

作者： Sha Fan Huaicheng Yan Hao Zhang Mengling Wang Xisheng Zhan 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 Department of Control Science and Engineering Tongji University

ISBN: (纸本)9781538629185

This paper is concerned with the problem of distributed state estimation for linear discrete system with packet loss.A state prediction consensus mechanism is introduced to promote the estimation *** applying matrix theory,a sufficient condition for the convergence of the estimation error system is ***,a numerical example is given to show the algorithm proposed in this paper has better consensus performance compared with a classical Kalman consensus filtering（KCF） by some simulations in real and packet-dropping cases,***,the influence of consensus coefficient and prediction consensus coefficient on the estimation error covariance are presented by simulation.

关键词： Distributed state estimation Packet loss Kalman consensus filtering（KCF） State prediction consensus mechanism

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Optimal design of extractive dividing-wall column using an efficient equation-oriented approach

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Frontiers of Chemical Science and Engineering 2021年第1期15卷 72-89页

作者： Yingjie Ma Nan Zhang Jie Li Cuiwen Cao Centre for Process Integration Department of Chemical Engineering and Analytical ScienceSchool of EngineeringThe University of ManchesterManchester M139PLUK Key Laboratory of Advanced Control and Optimization for Chemical Processes(Ministry of Education) East China University of Science and TechnologyShanghai 200237China

The extractive dividing-wall column(EDWC)is one of the most efficient technologies for separation of azeotropic or close boiling-point mixtures,but its design is fairly *** this paper we extend the hybrid feasible path optimisation algorithm(Ma Y,McLaughlan M,Zhang N,Li ***&Chemical Engineering,2020,143:107058)for such optimal *** tolerances-relaxation integration method is refined to allow for long enough integration time that can ensure the solution of the pseudo-transient continuation simulation close to the steady state before the required tolerance is *** ensure the gradient and Jacobian information available for optimisation,we allow a relaxed tolerance for the simulation in the sensitivity analysis mode when the simulation diverges under small *** addition,valid lower bounds on purity of the recycled entrainer and the vapour flow rate in column sections are imposed to improve computational *** computational results demonstrate that the extended hybrid algorithm can achieve better design of the EDWC compared to those in *** energy consumption can be reduced by more than 20%compared with existing literature *** addition,the optimal design of the heat pump assisted EDWC is achieved using the improved hybrid algorithm for the first time.

关键词： design extractive dividing-wall column equation-oriented optimisation pseudo-transient continuation model hybrid algorithm

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GPU-based coevolutionary particle swarm optimization 36

GPU-based coevolutionary particle swarm optimization

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第36届中国控制会议

作者： ZHAO Liang Zhu Yanxing ZHANG Jianyu Ye Zhencheng Key Laboratory of Advanced Control and Optimization for Chemical Process(Ministry of Education) East China University of Science and Technology Ethylene Plant of Jilin Petrochemical Company Ltd.PetroChina

ISBN: (纸本)9781538629185

Coevolutionary particle swarm optimization（CPSO） algorithm has been investigated and applied in the real world *** tackling the large-scale and complex real time optimization problems,the running time of CPSO algorithm is a *** this paper,Graphics processing Unit（GPU） is introduced to provide speedup in order to meet the real time *** CPSO algorithm has been implemented on GPU concurrently using the CUDA *** performance and run time of CPU-based and GPU-based CPSO algorithms are compared in *** experiment result shows that the GPU-based parallel computation mode can shorten the run time of CPSO algorithm apparently.

关键词： GPU CUDA Particle swarm optimization Coevolutionary particle swarm optimization

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Adaptive neural output feedback control for stochastic nonlinear systems with unknown control directions

Adaptive neural output feedback control for stochastic nonli...

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第三十二届中国控制会议

作者： Yu Zhaoxu Li Shugang Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology Department of Industrial Engineering and Logistics Shanghai Jiao Tong University

ISBN: (纸本)9781479900305

This paper focuses on the problem of adaptive output feedback stabilization for a class of stochastic nonlinear system with unknown control *** using a linear state transformation,the unknown control coefficients are lumped together, such that the original system is transformed to a new system for which control design becomes *** employing the inputdriven observer,a novel adaptive neural network(NN) output-feedback controller which only contains one adaptive parameter is developed for such systems by using backstepping technique and NNs' *** proposed control design guarantees that all the signals in the closed-loop systems are 4-moment semi-globally uniformly ultimately bounded.

关键词： stochastic systems output-feedback neural network(NN) Nussbaum function backstepping

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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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Oil extraction from sunflower seed using green solvent 22

Oil extraction from sunflower seed using green solvent

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22nd International Congress of Chemical and process Engineering, CHISA 2016 and 19th Conference on process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2016

作者： De Jesus, S.S. Santana, A. Maciel Filho, R. Laboratory of Optimization Design and Advanced Control School of Chemical Engineering University of Campinas Campinas SP13083-970 Brazil Laboratory of High Pressure Process Department of Chemical Engineering and Environmental Technology University of Valladolid Valladolid47011 Spain

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Analysis of freeze drying and microwave vacuum drying processes for retinol concentration

Analysis of freeze drying and microwave vacuum drying proces...

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CHISA 2006 - 17th International Congress of Chemical and process Engineering

作者： Koroishi, E.T. Boss, E.A. Maciel Filho, R. State University of Campinas - UNICAMP Laboratory of Optimization Design and Advanced Control - LOPCA Post office box: 6066 13081-970 Campinas Brazil

ISBN: (纸本)8086059456

Vitamin A (retinol) and derivatives (retinyl esters, retinoic acid, retinaldehyde), are of great commercial potential in cosmetics and pharmaceuticals such as skin care products. Vitamin A is necessary for maintenance of healthy epithelial tissue and can prevent the inception or progress of skin cancers by stimulating normal cell differentiation. Deficiency of vitamin A is usually accompanied by a number of severe diseases. The preformed vitamin A (retinol) is found in foods of the animal source. The vegetables are vitamin A source under carotenoids form that will be converted to vitamin A in the organism. The retinol is a pure form of the vitamin A. The retinol, alcohol of the vitamin A is the most active of the retinoids. Retinol is used as an antiwrinkle in the cosmetics industry. It is a hydrophobic vitamin A compound that exerts a potent influence on cell differentiation, proliferation, homeostasis, and development. To facilitate the formulation of the some products, the retinol needs to be in concentrated form. However, due to sensibility of the retinol to temperature, conventional methods can not be adequate. In this work, the retinol drying was studied, using the freeze drying process and microwave vacuum drying with the goal to reduce the water tenor, that is to say, to increase the retinol concentration, and consequently to increase the shelf life. Freeze drying is a drying process, where the water or aqueous substance is removed from frozen solution through sublimation. In this process the water passes direct from the solid phase to vapor phase. In order to do that, it is necessary that the sublimation temperature zone be bellow the triple point. The aim of the freeze drying process is to conserve the product, reducing the activity water. This process guarantees the preservation of the original product characteristics. Due to the absence of solvent and the low temperature required for the process, most of deterioration and microbiological reactions are st

关键词： Vitamins

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