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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Hangui Zhu Zhen Li Wenle Zhang Qianru Zhang School of Automation Xi’an University of Posts and Telecommunications Xi’an China Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China The University of Hong Kong Hong Kong China

ISBN: (数字)9781728124858

ISBN: (纸本)9781728124865

In this paper, a distributed event-triggered algorithm has considered for formation problem in second-order multi-agent system with fixed independent position and velocity interaction topologies. For each agent, the involved controller is designed to be updated by time instant that is determined by the local and current sampling data. Based on the Lyapunov control approach, a sufficient criterion has been derived that the desired formation shape can be ensured. Moreover, it is shown that the Zeno phenomenon can be excluded, and an extra control input has been utilized to implement obstacle avoidance. Finally, a numerical simulation is given to illustrate the effectiveness of the theoretical results.

关键词： Topology Multi-agent systems Collision avoidance Multi-robot systems Position control Lyapunov methods Mobile robots

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Method for coloring night-vision imagery based on multispectral semantic segmentation

Method for coloring night-vision imagery based on multispect...

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2018 Australian and New Zealand control Conference, ANZCC 2018

作者： Zhang, Weiwen Gu, Xiaojing Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781538666173

Color night vision can map natural colors to nighttime images of multiple bands (e.g., visible and long-wave infrared (LWIR)). These colors can assist the observers in better and faster understanding images, thus improving their situational awareness and shortening the reaction time. In this paper, we present an effective method combining deep learning and category colors. It utilizes the semantic segmentation for image segmentation first, and then colorize the image according to categories to avoid the same color scheme and unnatural colors. We compare our method with some others quantitatively and qualitatively, such as global colorization by single lookup table, where we show significant improvements. In addition, it can be expanded according to different environments and applications because of the fixed category colors. © 2018 IEEE.

关键词： Color

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Synchronization of multilayer networks with stochastic 11

Synchronization of multilayer networks with stochastic

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2017 11th Asian control Conference, ASCC 2017

作者： He, Wangli Lv, Siqi Peng, Chen Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China School of Mechatronic Engineering and Automation Shanghai University 200072 China

ISBN: (纸本)9781509015733

This paper is concerned with synchronization in a network with two different types of interactions, formulated by multilayer networks. A switching law between the two layers is proposed, which follows a Bernoulli distribution. An appropriate mathematical model is constructed firstly to describe multilayer networks with stochastic switching layers. Then a mean square synchronization criterion is derived, which is followed by an alternative sufficient condition. Comparisons with the existing work are also included. Finally, an example is given to verify the theoretical results. © 2017 IEEE.

关键词： Synchronization

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Exploring Si/Mg Composite Supported Ziegler-Natta Ti-based Catalysts for Propylene Polymerization

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Chinese Journal of Polymer Science 2017年第12期35卷 1474-1487页

作者： Wei Zhu 田洲 Rui-hua Cheng Xue-lian He Zhen Liu Ning Zhao 刘柏平 State Key Laboratory of Chemical Engineering East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

A series of（SiO2/MgO/ID/MgCl2）·TiClx Ziegler-Natta catalysts for propylene polymerization has been prepared with a new method. These catalysts were synthesized using soluble Mg-compounds as the Mg-source and the preparation progress was relatively simple. The catalyst could copy the spherical shape of the carrier very well. The propylene polymerization results showed that the catalyst revealed the best activity with 9,9-di（methoxymethyl）fluorene（BMMF） as internal donor at 50 °C with the optimal molar ratio Al/Ti = 5, which was much lower than what the industrial polypropylene catalyst used（at least molar ratio Al/Ti = 100）, resulting in great cost saving. Additionally, the polymerization kinetics of the catalyst exhibited very stable property after achieving a relatively high value. These catalysts possessed rather high activity and good hydrogen response. The isotactic index（Ⅱ.） value of the PP products could be higher than 98% in the presence of both internal and external electron donors. Moreover, temperature rising elution fractionation method was used to understand the influence of donors and H2 on the properties of the PP products.

关键词： Polypropylene Ziegler-Natta catalyst External donor Intemal donor Kinetic curves

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Finite-time 2-∞ control of Markovian jump linear systems with partly accessible hidden information via asynchronous output feedback 11

Finite-time 2-∞ control of Markovian jump linear systems wi...

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2017 11th Asian control Conference, ASCC 2017

作者： Song, Jun Niu, Yugang Zhao, Haijuan Cao, Zhiru Key Laboratory of Advanced Control and Optimization for Chemical Process East China University of Science and Technology Ministry of Education Shanghai200237 China

ISBN: (纸本)9781509015733

This work addresses the asynchronous finite-time 2-∞ control problem for discrete-time Markovian jump linear systems (MJLSs) via static output feedback strategy. The asynchronous phenomenon between the system mode and controller mode is represented as a hidden Markov model. Compared with the existing literature, the strict assumption on the mode observation conditional probability matrix (MOCPM) of a hidden Markov model is removed in this work. By means of matrix inequality techniques, sufficient conditions are attained to ensure both of the finite-time stochastic boundedness and the finite-time 2-∞ disturbance attenuation performance of the MJLSs subject to partly accessible MOCPM. Furthermore, an algorithm is established to solve asynchronous control gains. Finally, the multiplier-accelerator macroeconomic system is provided to illustrate the effectiveness and applicability of the proposed design scheme. © 2017 IEEE.

关键词： Hidden Markov models

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Coordinated optimization Method of Dual Head Gasoline Blending Under Strict Constraint Conditions

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Shiyou Xuebao, Shiyou Jiagong/Acta Petrolei Sinica (Petroleum Processing Section) 2019年第2期35卷 337-347页

作者： He, Renchu Chen, Haiquan Zhang, Weidong Zhu, Wenqi Key Laboratory of Advanced Control and Optimization Technology for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai University Shanghai200072 China Information and Measurement Center Jinling Company SINOPEC Nanjing210033 China Storage and Transportation Department Zhenhai Refining&Chemical Company SINOPEC Ningbo315207 China

For the upcoming China Ⅵ gasoline standard with much more strictly controlled properties, and high requirements for blending efficiency, a blending process and coordinated optimization algorithm for blending multiple brands of gasoline at the same time were developed. Octane number model, vapor pressure model, density model, distillation range model and content attribute model were established. The calculation process of octane number model and distillation range model have been improved, and 12 quality indicators of gasoline can be precisely monitored during the blending process. Considering the actual accumulative blending process, the properties of gasoline in the tank during the blending process should be converted into instantaneous properties zone at the blending head. The optimized properties of the blending head are used to compensate the properties deviation of the amount of blending and the tank bottom oil. Meanwhile, a reasonable and efficient coordination optimization algorithm is used to coordinate the upper limit of the common component oil, which solves the problem of scramble for the common component oil flow in the double blending head in the blending process. The simulation results show that the design method can be applied to the gasoline blending of double head in the field, and can also provide technical support for the upgrading of gasoline blending process under the China Ⅵ gasoline standard. © 2019, Editorial Office of Acta Petrolei Sinica(Petroleum Processing Section). All right reserved.

关键词： Gasoline

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A framework for high-dimensional robust evolutionary multi-objective optimization 18

A framework for high-dimensional robust evolutionary multi-o...

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2018 Genetic and Evolutionary Computation Conference, GECCO 2018

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

ISBN: (纸本)9781450357647

This paper proposes a framework for solving high-dimensional robust multi-objective optimization problems. A decision variable classification-based framework is developed to search for robust Pareto-optimal solutions. The decision variables are classified as highly and weakly robustness-related variables based on their contributions to the robustness of candidate solutions. In the case study, an order scheduling problem in the apparel industry is investigated via the proposed framework. The experimental results reveal that the performance of robust evolutionary optimization can be greatly improved via analyzing the properties of decision variables and then decomposing the high-dimensional robust multiobjective optimization problem. © 2018 Association for Computing Machinery.

关键词： Evolutionary algorithms

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Robust ℒ2 disturbance attenuation for a class of uncertain Lipschitz nonlinear systems with input delay

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International Journal of control 2019年第5期92卷 1015-1021页

作者： Zuo, Zongyu Wang, Chunyan Yang, Wen Ding, Zhengtao The Seventh Research Division Beihang University (BUAA) Beijing China School of Automation Science and Electrical Engineering Beihang University (BUAA) Beijing China School of Electrical and Electronic Engineering University of Manchester Manchester UK Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China

In this paper, we study a robust disturbance attenuation problem that arises when applying the Artstein–Kwon–Pearson reduction transformation for a class of uncertain Lipschitz nonlinear systems with input delay and external disturbances. A conventional predictor-based feedback controller is adopted with the control gain matrix carefully identified by solving a couple of sufficient conditions in terms of linear matrix inequalities. Lyapunov–Krasovskii functionals are constructed to guarantee that the robust disturbance attenuation problem can be solved by the proposed controller. A numerical example is included to validate the performance of the proposed controller. [ABSTRACT FROM AUTHOR]

关键词： Disturbance attenuation input delay Lipschitz nonlinearity parametric uncertainty robust stabilisation

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When autonomous systems meet accuracy and transferability through AI: A survey

arXiv

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arXiv 2020年

作者： Zhang, Chongzhen Wang, Jianrui Yen, Gary G. Zhao, Chaoqiang Sun, Qiyu Tang, Yang Qian, Feng Kurths, Jürgen Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China School of Electrical and Computer Engineering Oklahoma State University StillwaterOK74075 United States Potsdam Institute for Climate Impact Research Potsdam14473 Germany Institute of Physics Humboldt University of Berlin Berlin12489 Germany

With widespread applications of artificial intelligence (AI), the capabilities of the perception, understanding, decision-making and control for autonomous systems have improved significantly in the past years. When autonomous systems consider the performance of accuracy and transferability, several AI methods, like adversarial learning, reinforcement learning (RL) and meta-learning, show their powerful performance. Here, we review the learning-based approaches in autonomous systems from the perspectives of accuracy and transferability. Accuracy means that a well-trained model shows good results during the testing phase, in which the testing set shares a same task or a data distribution with the training set. Transferability means that when a well-trained model is transferred to other testing domains, the accuracy is still good. Firstly, we introduce some basic concepts of transfer learning and then present some preliminaries of adversarial learning, RL and meta-learning. Secondly, we focus on reviewing the accuracy or transferability or both of them to show the advantages of adversarial learning, like generative adversarial networks (GANs), in typical computer vision tasks in autonomous systems, including image style transfer, image super-resolution, image deblurring/dehazing/rain removal, semantic segmentation, depth estimation, pedestrian detection and person re-identification (re-ID). Then, we further review the performance of RL and meta-learning from the aspects of accuracy or transferability or both of them in autonomous systems, involving pedestrian tracking, robot navigation and robotic manipulation. Finally, we discuss several challenges and future topics for using adversarial learning, RL and meta-learning in autonomous systems. Copyright © 2020, The Authors. All rights reserved.

关键词： Reinforcement learning

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A data-approach for industrial utility systems optimization under uncertainty

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Energy 2019年 182卷 559-569页

作者： Zhao, Liang You, Fengqi Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China Robert Frederick Smith School of Chemical and Biomolecular Engineering Cornell University IthacaNY14853 United States

Energy optimization of utility system helps to reduce the operating cost and save energy for the industrial plants. Widespread uncertainties such as device efficiency and process demand pose new challenges for this issue. A hybrid modeling framework is presented by introducing the operating data into mechanism model to adapt the changes of device efficiency and operating conditions. Mathematical models of boilers, steam turbines, and letdown valves are then developed in the framework. Based on the process historical data of a real-world plant, a Dirichlet process mixture model is used to capture the support information of uncertain parameters. Bridging data-driven robust optimization (DDRO) and utility system optimization under uncertainty, a robust mixed-integer nonlinear programming (MINLP) model is developed by utilizing the derived uncertainty set. The robust counterpart of the developed model can be reformulated as a tractable MINLP problem including conic quadratic constraints that could be solved efficiently. A real-world case study is carried out to demonstrate the effectiveness of the proposed approach in protecting against uncertainties and achieving a good trade-off between optimality and robustness of the operational decisions for industrial utility systems. © 2019 Elsevier Ltd

关键词： Boilers

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