This paper addresses the ultimate boundedness control problem for a class of networked nonlinear systems with the round-robin(RR)protocol and uniform *** communication between sensor nodes and the controller is implem...
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This paper addresses the ultimate boundedness control problem for a class of networked nonlinear systems with the round-robin(RR)protocol and uniform *** communication between sensor nodes and the controller is implemented via a constrained communication *** quantised output of the system is transmitted to the remote controller through a communication channel subject to a transmission *** the purpose of alleviating possible data collision,the well-known RR communication protocol is deployed to schedule the data *** the other hand,the uniform quantisation effects of the network are characterised by a round function(*** nearest integer function).The purpose of the addressed problem is to design an observer-based controller for the networked nonlinear systems such that,in the presence of RR protocol and uniform quantisation effects,the closed-loop system is ultimately *** controller is designed based on mean square stability analysis and Lyapunov-like method.A set of sufficient conditions for the ultimate boundedness of the closed-loop system are established and,on the basis of which,the desired controller gains are obtained by solving a set of linear matrix *** effectiveness of the proposed method is verified by numerical examples.
The scale up of hydrogen production to large scale production systems demands a structured approach to control these systems. With suitable control principles, optimization for operation can be achieved whilst maintai...
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Large-scale water electrolysis systems are built from a multitude of stack units. These stack units have to be controlled during operation. The question arises how processcontrol of the system can be designed in that...
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This paper presents the design of supervisory model predictive control for HVAC systems and two zones. The supervisory control (SC) is designed to find the optimal reference temperature of each zone. The design criter...
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As a kind of flow process with complex and variable flow structure, multiple process variables and nonlinear characteristics, the flow status of multiphase flow shows non-stationary characteristics, and it is difficul...
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The intermittent slug flow in horizontal circular pipes occurs commonly in industrial applications such as pipeline transportation and nuclear reactor cooling. The phenomenon of elongated bubble centring in slug flow ...
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Sandwich constructions with metallic honeycomb cores are used in numerous mechanical applications, especially in aerospace, where high explicit modulus or solidity to weight ratios are needed. Square honeycomb sandwic...
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The state monitoring of gas-liquid two-phase flow with complex and diverse structures is the key to ensure the safe and stable operation of related industrial production. In order to achieve effective monitoring with ...
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Reliable and automated 3-dimensional(3D)plant shoot segmentation is a core prerequisite for the extraction of plant phenotypic traits at the organ *** deep learning and point clouds can provide effective ways to addre...
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Reliable and automated 3-dimensional(3D)plant shoot segmentation is a core prerequisite for the extraction of plant phenotypic traits at the organ *** deep learning and point clouds can provide effective ways to address the ***,fully supervised deep learning methods require datasets to be point-wise annotated,which is extremely expensive and *** our work,we proposed a novel weakly supervised framework,Eff-3DPSeg,for 3D plant shoot ***,high-resolution point clouds of soybean were reconstructed using a low-cost photogrammetry system,and the Meshlab-based Plant Annotator was developed for plant point cloud ***,a weakly supervised deep learning method was proposed for plant organ *** method contained(a)pretraining a self-supervised network using Viewpoint Bottleneck loss to learn meaningful intrinsic structure representation from the raw point clouds and(b)fine-tuning the pretrained model with about only 0.5%points being annotated to implement plant organ ***,3 phenotypic traits(stem diameter,leaf width,and leaf length)were *** test the generality of the proposed method,the public dataset Pheno4D was included in this *** results showed that the weakly supervised network obtained similar segmentation performance compared with the fully supervised *** method achieved 95.1%,96.6%,95.8%,and 92.2%in the precision,recall,F1 score,and mIoU for stem–leaf segmentation for the soybean dataset and 53%,62.8%,and 70.3%in the AP,AP@25,and AP@50 for leaf instance segmentation for the Pheno4D *** study provides an effective way for characterizing 3D plant architecture,which will become useful for plant breeders to enhance selection *** trained networks are available at https://***/jieyi-one/EFF-3DPSEG.
Gas-water two-phase flow is a complex and changeable process, which widely exists in a variety of industrial scenarios. The gas-water two-phase flow has complex flow characteristics and fluid structure, which can be c...
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