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第35届中国控制会议

作者： Qian Yang Huaicheng Yan Hao Zhang Wen Yang Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education School of information Science and Engineering East China University of Science and Technology

ISBN: (纸本)9781509009107

The robust exponential stability and L-gain analysis of the uncertain switched nonlinear cascade systems with time varying delay are considered in this ***,a sufficient condition for robustly exponential stability is studied by using the average dwell-time method,piecewise Lyapunov function and free weighting matrix approach,and then the L-gain of the uncertain switched nonlinear cascaded systems with the external disturbance is ***,the switching law and the average dwell-time are ***,a numerical example is provided to illustrate the effectiveness of the proposed results.

关键词： Robust exponential stability L2-gain nonlinear cascade system average dwell-time time-varying delay

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Gaussian process assisted coevolutionary estimation of distribution algorithm for computationally expensive problems

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Journal of Central South University 2012年第2期19卷 443-452页

作者： Luo, Na Qian, Feng Zhao, Liang Zhong, Wei-min Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai China

In order to reduce the computation of complex problems, a new surrogate-assisted estimation of distribution algorithm with Gaussian process was proposed. Coevolution was used in dual populations which evolved in parallel. The search space was projected into multiple subspaces and searched by sub-populations. Also, the whole space was exploited by the other population which exchanges information with the sub-populations. In order to make the evolutionary course efficient, multivariate Gaussian model and Gaussian mixture model were used in both populations separately to estimate the distribution of individuals and reproduce new generations. For the surrogate model, Gaussian process was combined with the algorithm which predicted variance of the predictions. The results on six benchmark functions show that the new algorithm performs better than other surrogate-model based algorithms and the computation complexity is only 10% of the original estimation of distribution algorithm.

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Fast Modeling Ethylene Yield for Cracking Furnace via Transfer Learning based on Time Series

Fast Modeling Ethylene Yield for Cracking Furnace via Transf...

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第27届中国过程控制会议（CPCC2016）

作者： ZHOU Shuheng DU Wenli Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education Academy of Information Science and EngineeringEast China University of Science and Technology

An ethylene plant's main purpose is to convert hydrocarbon feedstock,usually natural gas liquids or naphtha,into a "cracked gas" that contains ethylene and other higher value products,by breaking carbon-carbon bonds in the *** process also results in the slow deposition of coke,a form of carbon,on the reactor *** coke layer on the internal tube skin reduces the cross section of the reactor tube,increases the pressure drop and also degrades the efficiency of the *** characteristic that continuous operational performance of cracking furnaces gradually decays within time brings challenge to the operational scheduling for the entire furnace *** it's normally time-consuming to develop a new process model for multiple feeds and different cracking furnaces in the new process *** this paper,a transfer learning method based on time series is proposed for fast modeling ethylene yields from the view of common characteristics that ethylene yield decays over *** to previous studies,the new model allows to take advantage of a small amount of newly labeled data to construct a high-quality prediction model for the new ***,it obtains satisfied short-term forecast *** studies demonstrate the efficacy of the developed methodology.

关键词： Fast Modeling Ethylene Yield for Cracking Furnace via Transfer Learning based on Time Series

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Development of soft sensor coupled to a generic advanced control algorithm based on neural networks

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IFAC Proceedings Volumes 2001年第25期34卷 89-94页

作者： L. Ender R. Madel Filho Chemical Engineering Depanment - Regional University of Blumenau Brazi Laboratory of Optimization Design and Advanced Process Control (LOPCA) Faculty of Chemical Engineering Slate University of Campinas (UNICAMP) Brazil

This work presents a procedure for the development of soft sensors for the concentration control of a fixed bed catalytic reactor, through the definition of the best setpoints for the temperature profile in the reactor, obtained through a optimization procedure where the process is represented by a neural network. This procedure is coupled to a multivariable control strategy based on neural networks and it acts on the temperature of the system. The objective is to control the output concentration of the reactor.

关键词： Soft Sensor Neural Networks Adaptive control

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Quantum clustering-based weighted linear programming support vector regression for multivariable nonlinear problem

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Soft Computing 2009年第9期14卷 921-929页

作者： Yu, Yanfang Qian, Feng Liu, Huimin Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

Linear programming support vector regression shows improved reliability and generates sparse solution, compared with standard support vector regression. We present the v-linear programming support vector regression approach based on quantum clustering and weighted strategy to solve the multivariable nonlinear regression problem. First, the method applied quantum clustering to variable selection, introduced inertia weight, and took prediction precision of v-linear programming support vector regression as evaluation criteria, which effectively removed redundancy feature attributes and also reduced prediction error and support vectors. Second, it proposed a new weighted strategy due to each data point having different influence on regression model and determined the weighted parameter p in terms of distribution of training error, which greatly improved the generalization approximate ability. Experimental results demonstrated that the proposed algorithm enabled the mean squared error of test sets of Boston housing, Bodyfat, Santa dataset to, respectively, decrease by 23.18, 78.52, and 41.39%, and also made support vectors degrade rapidly, relative to the original v-linear programming support vector regression method. In contrast with other methods exhibited in the relevant literatures, the present algorithm achieved better generalization performance.

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Robust optimization for a Multi-Product Integrated Problem of Planning and Scheduling under Products Uncertainty

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Journal of Applied Mathematics and Physics 2015年第1期3卷 16-24页

作者： Mengwen Chen Cuiwen Cao Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

This paper presents robust optimization models for a multi-product integrated problem of planning and scheduling (based on the work of Terrazas-Moreno & Grossmann (2011) [1]) under products prices uncertainty. With the objective of maximizing the total profit in planning time horizon, the planning section determines the amount of each product, each product distributed to each market, and the inventory level in each manufacturing site during each scheduling time period;the scheduling section determines the products sequence, start and end time of each product running in each production site during each scheduling time period. The uncertainty sets used in robust optimization model are box set, ellipsoidal set, polyhedral set, combined box and ellipsoidal set, combined box and polyhedral set, combined box, ellipsoidal and polyhedral set. The genetic algorithm is utilized to solve the robust optimization models. Case studies show that the solutions obtained from robust optimization models are better than the solutions obtained from the original integrated planning and scheduling when the prices are changed.

关键词： Uncertainty Robust optimization Integrated Problem of Planning and Scheduling GA

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The Evolution of Cooperation in Multiplayer Snowdrift Games with Environmental Feedback 43

The Evolution of Cooperation in Multiplayer Snowdrift Games ...

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43rd Chinese control Conference, CCC 2024

作者： Sun, Tao Liang, Haili Yu, Xiaotong Zhou, Zhao Xu, Yang Shanghai University Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronic Engineering and Automation Shanghai200444 China East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai200237 China

ISBN: (纸本)9789887581581

Human societies and natural environments form a complex ecological system, in which human activities can change the ecological environment, the changes in the ecological environment can influence human social activities in reverse. This paper introduces a punitive mechanism as environmental feedback into co-evolutionary systems, and proposes a replicator dynamic model which aims to explain the evolutionary strategies adopted by populations for the multiplayer snowdrift games. We obtain the necessary and sufficient condition for the existence and stability of the internal equilibrium point by studying on the Jacobian matrix, and the effectiveness of the theoretical results is examined by numerical simulations. We identify that the threshold parameter in multiplayer snowdrift games determines the evolution of the closed-loop system. Specifically, the system exhibits limit cycles when the threshold is small enough. As the threshold increases, the system converges to a stable internal equilibrium point. Finally, if the threshold reaches a sufficiently large value, the proportion of cooperators in the population is high, while the group of punishers becomes extinct, indicating the loss of environmental feedback. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Anthropogenic

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Finite-time Boundedness of T-S Fuzzy Systems Subject to Injection Attacks: A Sliding Mode control Method ⁎

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IFAC-PapersOnLine 2020年第2期53卷 5075-5080页

作者： Zhina Zhang Jun Song Yuanyuan Zou Yugang Niu The Key Laboratory of Advanced Control and Optimization for Chemical Process East China University of Science and Technology Shanghai 200237 China Department of Automation Shanghai Jiao Tong University Shanghai 200240 China

This paper studies the sliding mode control for T-S fuzzy systems in the framework of finite-time boundedness. It is assumed that the control signals are transmitted via vulnerable channels, where injection attacks might happen. A fuzzy sliding mode controller is firstly synthesized to guarantee the finite-time reachability of the prescribed sliding surface and attenuate the effect of the injection attacks. By introducing a partitioning strategy, the finite-time boundedness over both the reaching phase and the sliding motion phase are analyzed. Furthermore, sufficient criteria are derived such that the closed-loop system is finite-time bounded over the whole specified finite-time interval despite of the injection attacks. An optimal algorithm is further provided for searching ideal control gains with fewer energy demands. Finally, a simulation example verifies the proposed sliding mode control approach.

关键词： T-S fuzzy system sliding mode control finite-time boundedness partitioning strategy injection attacks

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Cooperative game based cost analysis of multi-plant heat exchanger network integration in chemical Industry Park

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chemical Engineering Transactions 2017年 61卷 1219-1224页

作者： Jin, Yuhui Li, Shaojun Jiang, Da Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai200237 China

Industrial energy saving is essential to the plant in the chemical industry park. Heat exchanger network of multi-plant can recover more potential energy. To ensure the network construction successfully, co-construct cost must be allocated reasonably. Cooperative game-theory based approach combines "Core" and "Riskbased Shapley value" with the network structure is put forward to give a contribute-equal cost imputation. A case study which includes three chemical plants is used to describe the approach and shows its practice value. The case study used Risk-based Shapley value illustrated plant which is confronted with high risk-loss will participate in the co-construction with lower cost, which means high risk and high yielded side by side. Copyright © 2017, AIDIC Servizi S.r.l.

关键词： Energy conservation

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Design and control of a p-xylene oxidation process

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Chinese Journal of chemical Engineering 2015年第12期23卷 1935-1944页

作者：陶莉莉胡志华钱锋 College of Engineering Shanghai Second Polytechnic University Key laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

The p-xylene(PX) oxidation process is of great industrial importance because of the strong demand of the global polyester fiber.A steady-state model of the PX oxidation has been studied by many *** our previous work,a novel industrial p-xylene oxidation reactor model using the free radical mechanism based kinetics has been ***,the disturbances such as production rate change,feed composition variability and reactor temperature changes widely exist in the industry *** this paper,dynamic simulation of the PX oxidation reactor was designed by Aspen Dynamics and used to develop an effective plantwide control structure,which was capable of effectively handling the disturbances in the load and the temperature of the *** responses of the control structure to the disturbances were shown and served as the foundation of the smooth operation and advanced control strategy of this process in our future work.

关键词： p-Xylene oxidation Dynamic simulation Aspen Dynamics process design and control

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