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Chinese control and Decision Conference, CCDC

作者： Xinwei Lin Liang Zhao Wenli Du Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

The ethylene cracking furnace system convert a variety of hydrocarbon feeds into products such as ethylene and propylene in parallel. During the cracking process, the coke produced by the cracking will degrade the performance of the cracking furnace, so the furnace should be cleaned periodically. Scheduling of the cracking furnace system involves various raw materials, multiple furnaces, and multiple constraints, so it is a difficult mathematic programming problem. Previous studies have simplified the optimization model to obtain a corresponding mixed integer nonlinear programming (MINLP) model. In order to make the scheduling more suitable for the actual process, this paper develops the transfer-line exchanger (TLE) model, fuel consumption model, and super-high pressure steam (SS) model by using the actual plant data. A case study is put forward to demonstrate the effectiveness of the proposed method.

关键词： Furnaces Feeds Mathematical model Job shop scheduling Raw materials optimization Fuels

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Gas Leakage Segmentation in Industrial Plants

Gas Leakage Segmentation in Industrial Plants

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Chinese Automation Congress (CAC)

作者： Haoqi Lin Xiaojing Gu Jingyu Hu Xingsheng Gu Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

Industrial gas leakage in chemical plants presents a high risk to health and safety, also makes a huge waste of production materials. In this paper, we propose an automatic gas segmentation method for optical gas imaging (OGI) videos, which can not only indicate the existence of leakage in frames but also show the precise locations and shapes of gas plumes. Specifically, we propose a novel video segmentation network that stacks 2D spatial convolutions, 1D temporal convolutions and 3D spatial-temporal convolutions together within an encoder-decoder structure, termed 2.5D-Unet. Stacking mixed convolutions increases the representation ability of network for leakage's appearance and motion. More importantly, stacking mixed convolutions facilitates pre-training of model using still images of smoke, which is especially useful when lacking of labeled videos of leaked gas. Experimental results show, for OGI video-based gas leakage segmentation, our method outperforms existing video segmentation methods.

关键词： Videos Feature extraction Image segmentation Chemicals Data mining Three-dimensional displays Task analysis

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A synthesis approach to predictive control for networked control systems 33

A synthesis approach to predictive control for networked con...

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Proceedings of the 33rd Chinese control Conference, CCC 2014

作者： Zou, Yuanyuan James, Lam Niu, Yugang Li, Dewei Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China Department of Mechanical Engineering University of Hong Kong Hong Kong Department of Automation Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9789881563842

This paper studies a synthesis approach to predictive control for networked control systems with data loss and quantization. An augmented Markov jump linear model with polytopic uncertainties is modeled to describe the quantization errors and possible data loss. Based on this model, a predictive control synthesis approach is developed, which involves online optimization of a infinite horizon objective and conditions to deal with system constraints. The proposed MPC algorithm guarantees closed-loop mean-square stability and constraints satisfaction. © 2014 TCCT, CAA.

关键词： Networked control systems

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Evolutionary algorithm using kernel density estimation model in continuous domain

Evolutionary algorithm using kernel density estimation model...

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Asian control Conference

作者： Na Luo Feng Qian Key Laboratory of Advanced Control and Optimization of Chemical Process Ministry of Education State Key Laboratory of Chemical Engineering East China University of Science and Technology Shanghai China Key Laboratory of Advanced Control and Optimization of Chemical Process Ministry of Education State-Key Laboratory of Chemical Engineering East China University of Science and Technology Shanghai China

ISBN: (纸本)9781424454402

Estimation of distribution algorithm (EDA) is a kind of evolutionary algorithm which updates and samples from probabilistic model in evolutionary course. The key of EDA is the construction of probability model suitable for real distribution. Gaussian distribution is widely used in EDAs but the assumption of normality is not realistic for many real-life problems. In this paper, a new EDA using kernel density estimation (KEDA) is introduced. Adaptive change strategy of kernel width is presented and selection scheme, sampling method are also given cooperated with KEDA. The results of 5 benchmark functions show that results of KEDA outperform PBIL C , UMDA C , EDA G , H-EDA.

关键词： Evolutionary computation Kernel Electronic design automation and methodology Laboratories Histograms Density functional theory Gaussian distribution Automatic control Chemical processes control engineering education

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Neural-observer-based adaptive control for stochastic nonlinear time-delay systems with unknown control directions 34

Neural-observer-based adaptive control for stochastic nonlin...

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34th Chinese control Conference, CCC 2015

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

ISBN: (纸本)9789881563897

The problem of output feedback adaptive stabilization is addressed for a class of stochastic nonlinear systems with unknown time-varying delays and unknown control directions in this paper. Firstly, the unknown control coefficients are lumped together by using a linear state transformation, and the original system is transformed into a new system for which control design becomes feasible. Then, after the design of a novel neural observer, an output feedback adaptive neural network (NN) controller is developed for such systems by combining the Dynamic Surface control (DSC) technique, the Nussbaum gain function (NGF) method and the Lyapunov-Krasovskii method. The proposed controller ensures that all signals in the closed-loop systems are bounded in probability. Finally, a simulation example is given to verify the effectiveness and applicability of the proposed control design. © 2015 Technical Committee on control Theory, Chinese Association of Automation.

关键词： neural network (NN) output feedback Stochastic systems time-varying delay unknown control direction

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Causal reasoning in typical computer vision tasks

arXiv

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arXiv 2023年

作者： Zhang, Kexuan Sun, Qiyu Zhao, Chaoqiang Tang, Yang Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China

Deep learning has revolutionized the field of artificial intelligence. Based on the statistical correlations uncovered by deep learning-based methods, computer vision has contributed to tremendous growth in areas like autonomous driving and robotics. Despite being the basis of deep learning, such correlation is not stable and is susceptible to uncontrolled factors. In the absence of the guidance of prior knowledge, statistical correlations can easily turn into spurious correlations and cause confounders. As a result, researchers are now trying to enhance deep learning methods with causal theory. Causal theory models the intrinsic causal structure unaffected by data bias and is effective in avoiding spurious correlations. This paper aims to comprehensively review the existing causal methods in typical vision and vision-language tasks such as semantic segmentation, object detection, and image captioning. The advantages of causality and the approaches for building causal paradigms will be summarized. Future roadmaps are also proposed, including facilitating the development of causal theory and its application in other complex scenes and systems. Copyright © 2023, The Authors. All rights reserved.

关键词： Object detection

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Input-Output Finite-Time Stability and Stabilization of Stochastic Fuzzy Systems With Randomly Occurring Uncertainties and Gain Fluctuations

Input-Output Finite-Time Stability and Stabilization of Stoc...

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World Congress on Intelligent control and Automation

作者： Jun Song Yugang Niu Yuanyuan Zou Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education Shanghai 200237 China

ISBN: (纸本)9781467384155

This paper studies the input-output finite-time stabilization problem of a class of fuzzy stochastic systems with randomly occurring uncertainties and (x, u)-dependent noises. By considering the randomly occurring gain fluctuations in controller gains, a fuzzy controller is designed to render the closed-loop system input-output finite-time stochastic stability with respect to some specified parameters. Through intensive stochastic analysis, a sufficient condition is established for the controller design via a convex optimization approach. A numerical example is exploited to demonstrate the effectiveness of the proposed design method.

关键词： Fuzzy systems Asymptotic stability Stability analysis Numerical stability Uncertainty Stochastic processes Aerospace electronics

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Robust Exponential Stability and L2-Gain Analysis for Uncertain Switched Nonlinear Cascaded Systems with Time-Varying Delay

Robust Exponential Stability and L2-Gain Analysis for Uncert...

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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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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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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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