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第41届中国控制会议

作者： Qingchuan Feng Dong Yang Guangdeng Zong Linlin Hou Haibin Sun School of Engineering Qufu Normal University School of Control Science and Engineering Tiangong University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This note addresses the problem of finite-time bumpless transfer control for a class of Markovian jump systems via static output feedback controller under partially unknown transition *** fundamental goal is to create a finitetime bumpless transfer controller which reduces control bumps while guaranteeing finite-time ***,the definition of bumpless transfer control is developed to describe the transient behaviors of Markovian jump ***,the stability analysis is given,and bumpless transfer output feedback controller is designed under partially unknown transition ***,a numerical example is provided to demonstrate the usefulness of the presented theoretical conclusions.

关键词： Markovian jump systems Finite-time stabilization Bumpless transfer control Output feedback control Partially unknown transition probabilities

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Feedback Generative Adversarial Network With Channel-Space Attention for Image-Based Optimal Path Search Planning

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第8期5卷 4293-4307页

作者： Sun, Tao Li, Jian-Sheng Zhang, Yi-Fan Ru, Xin-Feng Wang, Ke Tsinghua University Department of Automation Beijing100084 China Dalian University of Technology School of Control Science and Engineering Dalian116024 China Dalian University of Technology Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian116024 China Tongji University School of Economics and Management Shanghai200092 China

Path planning and seeking is one of the most challenging and interesting problems in the field of artificial intelligence. In this article, we propose a new image-based path planning algorithm to overcome traditional design concepts based on complex topological networks. Specifically, a novel feedback generative adversarial network learning model with channel-space attention (CSA-FGAN) is developed to search and plan an optimal path. It is worth noting that the input and output of the proposed feedback learning model are RGB images with complex spatial obstacle environment maps and RGB images with feasible paths, respectively. In particular, in order to further enhance the feature extraction ability and path prediction accuracy of image data, the feedback attention mechanism controls and improves the depth of the network by forming a closed loop of the proposed learning model. Final, three application scenario image examples are conducted to verify the superiority of the proposed path planning policy. © 2020 IEEE.

关键词： Motion planning

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Adaptive Finite-Time control for the Chemotherapy of Brain Tumor via NN-Based Backstepping Approach

Adaptive Finite-Time Control for the Chemotherapy of Brain T...

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2023 China Automation Congress, CAC 2023

作者： Wu, Mingyue Zhang, Xianfu Xia, Shengxiang Feng, Yiyu Xia, Yuhe School of Control Science and Engineering Shandong University Jinan China School of Science Shandong Jianzhu University Jinan China

ISBN: (纸本)9798350303759

A brain tumor is a significant class of diseases that pose a threat to human health. Based on the logistic growth law of brain tumor cells and host cells, a brain tumor with drug model is constructed. N ext, a NN - based backstepping tracking controller is designed to control the dosage of chemotherapeutic drug to effectively treat brain tumors. In contrast to the existing works, the considered brain tumor model allows for parameter uncertainties due to measurement errors and physical limitations. It proved by the Lyapunov stability theory that the number of brain tumor cells can be reduced to a desired reference value in a finite time. Simulation results show that the effectiveness of the proposed control strategy for reducing brain tumor cells. Notably, the proposed approach has potential implications for the development of treatment plans for brain tumor chemotherapy, and provides theoretical support for controlling the dosage of chemotherapeutic drug. © 2023 IEEE.

关键词： Tumors

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Energy-Efficient Driving Strategy for High-Speed Trains with Considering the Checkpoints

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Chinese Journal of Electronics 2024年第3期33卷 847-858页

作者： Zixuan ZHANG Yuan CAO Shuai SU State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University School of Electronic and Information Engineering Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University

With rising energy prices and concerns about environmental issues,energy-efficient driving strategies(EEDS) for high-speed trains have received a substantial amount of *** particular,energy-saving schemes play a huge role in reducing the energy and operating costs of *** article studies the EEDS of high-speed trains at a given time.A well-posed model is formulated,in which the constraints of the checkpoints,in addition to the speed limits,vehicle dynamics,and discrete control throttle,are first *** a given control sequence,the Karush-Kuhn-Tucker(KKT) conditions are used to obtain the necessary conditions for an *** to several key equations of the necessary conditions,the checkpoint constraints are *** case studies are conducted based on the data of the Beijing-Shanghai high-speed line to illustrate the effectiveness of the proposed approach.

关键词： Energy-efficiency High-speed trains Checkpoints

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Underestimated contribution of fugitive emission to VOCs in pharmaceutical industry based on pollution characteristics, odorous activity and health risk assessment

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Journal of Environmental sciences 2023年第4期126卷 722-733页

作者： Qinhao Lin Zhong Gao Weikun Zhu Jiangyao Chen Taicheng An Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control Guangdong Technology Research Center for Photocatalytic Technology Integration and Equipment EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health Guangzhou Key Laboratory of Environmental Catalysis and Pollution ControlSchool of Environmental Science and EngineeringGuangdong University of TechnologyGuangzhou 510006China

Fugitive emission has been becoming an important source of volatile organic compounds(VOCs) in pharmaceutical industry,but the exact contribution of fugitive emission remains incompletely *** present study,pollution characteristics,odorous activity and health risk of stack and fugitive emissions of VOCs from four functional units (e.g.,workshop,sewage treatment station,raw material storage and hazardous waste storage) of three representative pharmaceutical factories were *** was the dominant contributor to VOCs of fugitive emission in comparison with other functional *** high concentration of VOCs from fugitive emission in unsealed workshop (94.87 mg/m^(3))was observed relative to sealed one (1.18 mg/m^(3)),accounting for 31%and 5%of total VOCs,*** emission of VOCs in the unsealed workshop mainly consisted of nhexane,1-hexene and *** activity indexes and non-cancer hazard ratios of these VOCs from fugitive emission in the unsealed workshop were as high as that from stack ***,cancer risk of dichloromethane from fugitive emission and stack exhaust was up to (1.6-1.8)×10^(-5).Odorous activity or health risk index of the VOCs from fugitive emission was up to 13 or 11 times of the corresponding threshold value,posing remarkable health threat on pharmaceutical ***?ndings highlighted the possibly underestimated contribution of fugitive emission on VOCs in the pharmaceutical industry.

关键词： Pharmaceutical industry VOC pollution Fugitive emission Odorous activity index Health risk

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Optimal Start-Up Strategies for Continuous Crystallization Process with COBC Crystallizer 42

Optimal Start-Up Strategies for Continuous Crystallization P...

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42nd Chinese control Conference, CCC 2023

作者： Chen, Haoxun Xia, Hao School of Control Science and Engineering Dalian University of Technology Liaoning Dalian116024 China

ISBN: (纸本)9789887581543

A model-based optimization procedure was developed to systematically investigate different start-up strategies of continuous crystallization process using continuous oscillatory baffled crystallizer (COBC). An optimal steady state of the crystallization process was firstly designed to setup the optimal steady state operating conditions and the end-point for the start-up process. Then a multi-objective optimization problem was formulated to find the optimal strategy of the start-up process which minimizes the start-up time and the material waste. The decision variables of the optimization are input flow rate, jacket cooling temperature, the concentration of the pre-filled solution in the crystallizer. Different scenarios with single and multiple decision variables were designed and compared. It was shown that the start-up time can be reduced by more than 45% when all the decision variables are optimally set. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Multiobjective optimization

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MOF-based materials facilitate efficient anaerobic digestion of organic wastes:integrating substrate bioavailability and microbial syntrophism

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Frontiers of Environmental science & engineering 2024年第8期18卷 153-157页

作者： Haoyu Liu Ying Xu Xiang Chen Xiankai Wang Hang Wang Xiaohu Dai State Key Laboratory of Pollution Control and Resource Reuse School of Environmental Science and EngineeringTongji UniversityShanghai 200092China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092China YANGTZE Eco-Environment Engineering Research Center China Three Gorges CorporationWuhan 430010China National Engineering Research Center of Eco-Environment Protection for Yangtze River Economic Belt Wuhan 430010China

Anaerobic digestion(AD)of organic waste(OW)for methane production is generally *** of AD systems with traditional materials(e.g.,electroconductive materials)is a current focus of research and has been reported to assist methanogenesis by enhancing the productivity of microbial metabolism among syntrophic *** in the AD of organic wastewater,in which microbial cells come into direct contact with the dissolved substrate,in the complex multiphase AD system of OW,low substrate bioavailability is an inevitable obstacle to microbial syntrophism for ***,we propose that improving substrate bioavailability and microbial syntrophism is a powerful strategy for ensuring material-assisted efficient AD of *** on the above considerations,metal-organic frameworks(MOFs),with their exceptionally high porosity,outstanding multi-functionality,and tuneable structures,have excellent potential for application in multiphase anaerobic systems of OW to integrate substrate bioavailability and microbial syntrophism and drive efficient *** addition,MOFs with designable and tuneable natures have great potential for use in identifying suitable materials for anaerobic systems for different types of OW via machine-learning technologies,thereby effectively enhancing methanogenesis from ***,the sustainable application of MOFs in AD and the corresponding environmental risks warrant further investigation.

关键词： Anaerobic digestion Methane production Biodegradability Functional materials Metal-organic frameworks

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AFSTGCN:Prediction for multivariate time series using an adaptive fused spatial-temporal graph convolutional network

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Digital Communications and Networks 2024年第2期10卷 292-303页

作者： Yuteng Xiao Kaijian Xia Hongsheng Yin Yu-Dong Zhang Zhenjiang Qian Zhaoyang Liu Yuehan Liang Xiaodan Li School of Information and Control Engineering China University of Mining and TechnologyXuzhou221116China Department of Informatics University of LeicesterLeicesterLE17RHUK The Affiliated Changshu Hospital of Soochow University Changshu215500China School of Computer Science and Engineering Changshu Institute of TechnologySuzhou215500China

The prediction for Multivariate Time Series(MTS)explores the interrelationships among variables at historical moments,extracts their relevant characteristics,and is widely used in finance,weather,complex industries and other ***,it is important to construct a digital twin ***,existing methods do not take full advantage of the potential properties of variables,which results in poor predicted *** this paper,we propose the Adaptive Fused Spatial-Temporal Graph Convolutional Network(AFSTGCN).First,to address the problem of the unknown spatial-temporal structure,we construct the Adaptive Fused Spatial-Temporal Graph(AFSTG)***,we fuse the spatial-temporal graph based on the interrelationship of spatial ***,we construct the adaptive adjacency matrix of the spatial-temporal graph using node embedding ***,to overcome the insufficient extraction of disordered correlation features,we construct the Adaptive Fused Spatial-Temporal Graph Convolutional(AFSTGC)*** module forces the reordering of disordered temporal,spatial and spatial-temporal dependencies into rule-like *** dynamically and synchronously acquires potential temporal,spatial and spatial-temporal correlations,thereby fully extracting rich hierarchical feature information to enhance the predicted *** on different types of MTS datasets demonstrate that the model achieves state-of-the-art single-step and multi-step performance compared with eight other deep learning models.

关键词： Adaptive adjacency matrix Digital twin Graph convolutional network Multivariate time series prediction Spatial-temporal graph

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An online Q-learning design for stochastic differential LQ game with completely unknown dynamics 41

An online Q-learning design for stochastic differential LQ g...

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第41届中国控制会议

作者： Baoqiang Zhang Bingchang Wang School of Control Science and Engineering Shandong University Shandong University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we design a reinforcement learning algorithm to solve the adaptive optimal control problem of linear quadratic stochastic non-zero sum differential game with n-players and completely unknown *** is difficult to solve a set of coupled Riccati equations by the traditional method,for the complete system dynamics are *** first use an action dependent value function Q for each actor to replace the state dependent value function *** each player,a critical network is used to estimate the Q function,an actor network is used to estimate the control *** states and the actions of the system constitute the turning ***,a model-free online Q-learning algorithm for solving this kind of problems is *** is proved that the algorithm converges to Nash equilibrium under some conditions.A simulation example with two players is given to verify the effectiveness of the algorithm.

关键词： nonzero-sum stochastic game actor-critic algorithm model-free adaptive control reinforcement learning(RL)

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Memristive effects on an improved discrete Rulkov neuron model

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science China(Technological sciences) 2023年第11期66卷 3153-3163页

作者： BAO Han LI KeXin MA Jun HUA ZhongYun XU Quan BAO BoCheng School of Microelectronics and Control Engineering Changzhou UniversityChangzhou 213159China Department of Physics Lanzhou University of TechnologyLanzhou 730050China School of Computer Science and Technology Harbin Institute of TechnologyShenzhenShenzhen 518055China

A change in neuronal-action potential can generate a magnetically induced current during the release and propagation of intracellular *** better characterize the electromagnetic-induction effect,this paper presents an improved discrete Rulkov(ID-Rulkov)neuron model by coupling a discrete model of a memristor with sine memductance into a discrete Rulkov neuron *** ID-Rulkov neuron model possesses infinite invariant points,and its memristor-induced stability effect is evaluated by detecting the routes of period-doubling and Neimark-Sacker *** investigated the memristor-induced dynamic effects on the neuron model using bifurcation plots and firing ***,we theoretically expounded the memristor initial-boosting mechanism of infinite coexisting *** results show that the ID-Rulkov neuron model can realize diverse neuron firing patterns and produce hyperchaotic attractors that are nondestructively boosted by the initial value of the memristor,indicating that the introduced memristor greatly benefits the original neuron *** hyperchaotic attractors initially boosted by the memristor were verified by hardware experiments based on a hardware *** addition,pseudorandom number generators are designed using the ID-Rulkov neuron model,and their high randomness is demonstrated based onstrict test results.

关键词： neuron model invariant point memristive effect complex dynamics pseudorandom number generators

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