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Constrained nonlinear MPC for accelerated tracking piece-wise references and its applications to thermal systems

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Control Theory and Technology 2022年第1期20卷 69-79页

作者： Defeng He Qingsong Wang Ping Han haiping du College of Information Engineering Zhejiang University of TechnologyHangzhou310023ZhejiangChina School of Electrical Computer and Telecommunications EngineeringUniversity of WollongongWollongongNSW2522Australia

In this paper,we propose a model predictive control(MPC)strategy for accelerated offset-free tracking piece-wise constant reference signals of nonlinear systems subject to state and control *** special contractive constraints on tracking errors and terminal constraints are embedded into the tracking nonlinear MPC ***,recursive feasibility and closed-loop convergence of the tracking MPC are guaranteed in the presence of piece-wise references and constraints by deriving some sufficient ***,the local optimality of the tracking MPC is achieved for unreachable output reference *** comparing to traditional tracking MPC,the simulation experiment of a thermal system is used to demonstrate the acceleration ability and the effectiveness of the tracking MPC scheme proposed here.

关键词： Model predictive control Nonlinear systems Constrained control Tracking control Thermal systems

Mechanisms underlying key agronomic traits and implications for molecular breeding in soybean

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Journal of Genetics and Genomics 2024年第4期51卷 379-393页

作者： Chao Fang haiping du Lingshuang Wang Baohui Liu Fanjiang Kong Guangdong Key Laboratory of Plant Adaptation and Molecular Design Guangzhou Key Laboratory of Crop Gene EditingInnovative Center of Molecular Genetics and EvolutionSchool of Life SciencesGuangzhou UniversityGuangzhouGuangdong 510006China

Soybean(Glycine max[L.]Merr.)is an important crop that provides protein and vegetable oil for human *** soybean is a photoperiod-sensitive crop,its cultivation and yield are limited by the photoperiodic conditions in the *** contrast to other major crops,soybean has a special plant architecture and a special symbiotic nitrogen fixation system,representing two unique breeding ***,flowering time,plant architecture,and symbiotic nitrogen fixation are three critical or unique yielddetermining *** review summarizes the progress made in our understanding of these three critical yield-determining factors in ***,we propose potential research directions to increase soybean production,discuss the application of genomics and genomic-assisted breeding,and explore research directions to address future challenges,particularly those posed by global climate changes.

关键词： Soybean Grain yield Flowering time Plant architecture Nodulation Symbiotic nitrogen fixation Genome study

Distributed multilane merging for connected autonomous vehicle platooning

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Science China(Information Sciences) 2021年第11期64卷 171-186页

作者： Jingkai WU Yafei WANG Zhaokun SHEN Lin WANG haiping du Chengliang YIN School of Mechanical Engineering Shanghai Jiao Tong University School of Electrical and Electronics Engineering Shanghai Jiao Tong University School of Electrical Computer and Telecommunications Engineering University of Wollongong

In the context of coordination of connected autonomous vehicles(CAVs), the platooning operation is a promising application. The formulation of a single stream of CAVs is conducive to traffic efficiency and merging operations extend the benefits for multilane road users. However, the problem of simultaneous merging and platooning lacks comprehensive investigation. A solution is formulated in this paper through a new scheme that considers inter-vehicle safety distance constraints and distributed deployment utilizing local inter-vehicle information exchanges. A distributed consensus-based controller synthesized with a collision avoidance design is developed to direct the CAVs to maintain the velocity and spacing required to avoid intervehicle collisions. Furthermore, a framework fusing an agent motion model with vehicle controllers based on a dynamics model that facilitates both longitudinal and lateral controls is proposed, contributing to a cross-model planning-tracking controller. Theoretical proof of asymptotic stability of the proposed controller and its collision avoidance capability are also elaborated. The merging and platooning function was tested in a hardware-in-the-loop(Hi L) experiment, demonstrating the precise tracking performance and comparable merging responses to a typical multiagent system. In comparison with trajectory-based merging algorithms,the proposed framework is able to achieve finer stepwise tracking results without centralized coordination or predefined trajectories.

关键词： platoon merging connected autonomous vehicle multiagent system distributed controller

Understandings and future challenges in soybean functional genomics and molecular breeding

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Journal of Integrative Plant Biology 2023年第2期65卷 468-495页

作者： haiping du Chao Fang Yaru Li Fanjiang Kong Baohui Liu Guangdong Key Laboratory of Plant Adaptation and Molecular Design Guangzhou Key Laboratory of Crop Gene EditingInnovative Center of Molecular Genetics and EvolutionSchool of Life SciencesGuangzhou UniversityGuangzhou 510006China

Soybean(Glycine max)is a major source of plant protein and *** breeding has benefited from advances in functional *** particular,the release of soybean reference genomes has advanced our understanding of soybean adaptation to soil nutrient deficiencies,the molecular mechanism of symbiotic nitrogen(N)fixation,biotic and abiotic stress tolerance,and the roles of flowering time in regional adaptation,plant architecture,and seed yield and ***,many challenges remain for soybean functional genomics and molecular breeding,mainly related to improving grain yield through high-density planting,maize-soybean intercropping,taking advantage of wild resources,utilization of heterosis,genomic prediction and selection breeding,and precise breeding through genome *** review summarizes the current progress in soybean functional genomics and directs future challenges for molecular breeding of soybean.

关键词： flowering time functional genomics grain yield nodulation plant architecture response to nutrition deficiency seed quality soybean stress resistance

Blockchain-Enabled Federated Learning with Differential Privacy for Internet of Vehicles

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Computers, Materials & Continua 2024年第10期81卷 1581-1593页

作者： Chi Cui haiping du Zhijuan Jia Yuchu He Lipeng Wang School of Information Science and Technology Zhengzhou Normal UniversityZhengzhou450044China School of Electrical Computer and Telecommunications EngineeringUniversity of WollongongWollongongNSW 2500Australia

The rapid evolution of artificial intelligence(AI)technologies has significantly propelled the advancement of the Internet of Vehicles(IoV).With AI support,represented by machine learning technology,vehicles gain the capability to make intelligent *** a distributed learning paradigm,federated learning(FL)has emerged as a preferred solution in *** to traditional centralized machine learning,FL reduces communication overhead and improves privacy *** these benefits,FL still faces some security and privacy concerns,such as poisoning attacks and inference attacks,prompting exploration into blockchain integration to enhance its security *** paper introduces a novel blockchain-enabled federated learning(BCFL)scheme with differential privacy(DP)tailored for *** order to meet the performance demanding IoV environment,the proposed methodology integrates a consortium blockchain with Practical Byzantine Fault Tolerance(PBFT)consensus,which offers superior efficiency over the conventional public *** addition,the proposed approach utilizes the Differentially Private Stochastic Gradient Descent(DP-SGD)algorithm in the local training process of FL for enhanced privacy *** results indicate that the integration of blockchain elevates the security level of FL in that the proposed approach effectively safeguards FL against poisoning *** the other hand,the additional overhead associated with blockchain integration is also limited to a moderate level to meet the efficiency criteria of ***,by incorporating DP,the proposed approach is shown to have the(ε-δ)privacy guarantee while maintaining an acceptable level of model *** enhancement effectively mitigates the threat of inference attacks on private information.

关键词： Blockchain federated learning differential privacy Internet of Vehicles

New stability conditions of CPSs with multiple transportation channels under DoS attacks

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Science China(Information Sciences) 2022年第11期65卷 301-302页

作者： Jumei WEI Xueyan YAN Xunlin ZHU Mingliang XU Rui MA haiping du School of Mathematics and Statistics Zhengzhou University Center for Interdisciplinary Information Science Research Zhengzhou University School of Electrical Computer and Telecommunications Engineering University of Wollongong

Dear editor,Cyber-physical systems(CPSs) are widely studied owing to their cyclopedic practical value in some fields. In an unreliable network environment, transmission channels may be subject to denial-of-service(Do ...

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GmTOC1b negatively regulates resistance to Soybean mosaic virus

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The Crop Journal 2023年第6期11卷 1762-1773页

作者： Yuhang Zhang haiping du Tiantian Zhao Chunmei Liao Tu Feng Jun Qin Baohui Liu Fanjiang Kong Zhijun Che Liyu Chen Guangdong Key Laboratory of Plant Adaptation and Molecular Design Guangzhou Key Laboratory of Crop Gene EditingInnovative Center of Molecular Genetics and EvolutionSchool of Life SciencesGuangzhou UniversityGuangzhou 510006GuangdongChina Hebei Laboratory of Crop Genetics and Breeding National Soybean Improvement Center Shijiazhuang Sub-CenterHuang-Huai-Hai Key Laboratory of Biology and Genetic Improvement of SoybeanMinistry of Agriculture and Rural AffairsInstitute of Cereal and Oil CropsHebei Academy of Agricultural and Forestry SciencesShijiazhuang 050035HebeiChina School of Ecological Engineering Guizhou University of Engineering ScienceBijie 551700GuizhouChina School of Agriculture Ningxia UniversityYinchuan 750021NingxiaChina College of Life Science Hebei Normal UniversityShijiazhuang 050024HebeiChina

Soybean(Glycine max)is a major oil and feed crop *** mosaic virus(SMV)is a globally occurring disease that severely reduces the yield and quality of ***,we characterized the role of the clock gene TIMING OF CAB EXPRESSION 1b(GmTOC1b)in the resistance of soybean to *** Gmtoc1b mutants exhibited increased tolerance to SMV strain SC3 due to the activation of programmed cell death triggered by a hypersensitive *** deep sequencing and RT-qPCR analysis suggested that GmTOC1b likely regulates the expression of target genes involved in the salicylic acid(SA)signaling ***1b binds to the promoter of GmWRKY40,which encodes a protein that activates the expression of SA-mediated defense-related ***,we revealed that the GmTOC1bH1 haplotype,which confers increased tolerance to SMV,was artificially selected in improved cultivars from the Northern and Huang-Huai regions of *** results therefore identify a previously unknown SMV resistance component that could be deployed in the molecular breeding of soybean to enhance SMV resistance.

关键词： GmTOC1b GmWRKY40 Soybean Soybean mosaic virus

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Frontiers of Information Technology & Electronic Engineering 2021年第9期22卷 1234-1246页

作者： Yuxue XU Yun WANG Tianhong YAN Yuchen HE Jun WANG De GU haiping du Weihua LI College of Mechanical and Electrical Engineering China JiliangUniversityHangzhou 310018China Mechanical and Electrical EngineeringDepartment Zhejiang Tongji Vocational College of Science andTechnologyHangzhou 311231China Key Laboratory of Advanced ProcessControl for Light Industry(Ministry of Education) Institute ofAutomationJiangnan UniversityWuxi 214122China School ofElectrical Computer and Telecommunications EngineeringUniversity ofWollongongWollongongNSW 2522Australia

Soft sensors are widely used to predict quality variables which are usually hard to *** is necessary to construct an adaptive model to cope with process *** this study,a novel quality-related locally weighted soft sensing method is designed for non-stationary processes based on a Bayesian network with latent ***,a supervised Bayesian network is proposed where quality-oriented latent variables are extracted and further applied to a double-layer similarity meas-urement *** proposed soft sensing method tries to find a general approach for non-stationary processes via quality-related information where the concepts of local similarities and window confidence are explained in *** performance of the developed method is demonstrated by application to a numerical example and a debutanizer *** is shown that the proposed method outperforms competitive methods in terms of the accuracy of predicting key quality variables.

关键词： Soft sensor Supervised Bayesian network Latent variables Locally weighted modeling Quality prediction

Delta operator based fault detection filter design for uncertain Steer-by-Wire systems with time delay

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Delta operator based fault detection filter design for uncer...