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Article
A performance prediction method for on-site chillers based on dynamic graph convolutional network enhanced by association rules
Accurately predicting the chiller coefficient of performance (COP) is essential for improving the energy efficiency of heating, ventilation, and air conditioning (HVAC) systems, significantly contributing to e...
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Article
Adaptive observer-based integral event-triggered antivibration control of a full aircraft active landing gear system with irregular runway excitations
This study addresses the antivibration issue of a full aircraft active landing gear system (LGS) under landing impact and runway excitations via a novel adaptive observer-based integral event-triggered control...
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Article
Event-triggered robust fault-tolerant control of a class of Euler–Bernoulli beam equations via sliding mode control
In this article, a robust fault-tolerant sliding mode controller is proposed for a class of non-homogeneous Euler–Bernoulli beams which contains controller time-varying fault, external unknown spatiotemporally...
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Article
Robust Feedback Set Stabilization of Logic Networks with State-Dependent Uncertain Switching and Control Constraints
This study investigates the robust feedback set stabilization of switched logic control networks (SLCNs) with state-dependent uncertain switching and control constraints. First, based on the properties of the ...
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Article
Evaluation model of aluminum electrolysis cell condition based on multi-source heterogeneous data fusion
Industrial process data have the characteristics of heterogeneity, dimensional inconsistency and multi time scales, which increase the difficulty of condition evaluation in industrial process using multi-sourc...
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Chapter and Conference Paper
An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application
In the context of Industry 4.0, the paradigm of manufacturing has shifted from autonomous to intelligent by integrating advanced communication technologies. However, to enable manufacturers to respond quickly ...
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Article
Modified graph systems for distributed optimization
In distributed optimization theory, network topology graphs are important in communications among multiple agents. However, distributed optimization approaches cannot solve optimization problems well if the gr...
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Article
Finite-Time Observability of Probabilistic Logical Control Systems
This study investigates finite-time observability of probabilistic logical control systems (PLCSs) under three definitions (i.e., finite-time observability with probability one, finite-time single-input sequen...
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Article
Ingot oxide slag detection using two-stage UNet network based on mixed supervised learning
This paper presents a new method for detecting the amount of oxide slag on metal ingots, which is a critical indicator of the quality of the ingots. The challenge arises due to the irregular shape and small nu...
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Article
Brain-inspired STA for parameter estimation of fractional-order memristor-based chaotic systems
It is very important to estimate the unknown parameters of the fractional-order memristor-based chaotic systems (FOMCSs). In this study, a brain-inspired state transition algorithm (BISTA) is proposed to estim...
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Article
Fixed-time distributed robust optimization for economic dispatch with event-triggered intermittent control
This paper proposes a fixed-time distributed robust optimization approach for solving economic dispatch problems. Based on an integral sliding mode control scheme, the proposed multi-agent system converges to ...
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Article
Research on the velocity distribution law of the coke in the chute of blast furnace based on discrete element method
The velocity distribution law of coke particles in the rotating chute of a blast furnace is the key factor determining the three-dimensional shape of the burden surface, and it is of great significance to impr...
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Article
Asymptotical stability of continuous-time probabilistic logic networks based on transition rate
The evolution of the probability distribution for a continuous-time probabilistic logic network (CT-PLN) is determined by its transition rate matrix (TRM), which is a constant matrix that can be identified fro...
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Article
Mean square stability of discrete-time linear systems with random impulsive disturbances
This study investigated the mean square stability of discrete-time linear systems with impulsive disturbances at random instants based on a hybrid-index model. Under the provided assumptions, the necessary and...
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Article
Open AccessRemaining useful life prognosis of turbofan engines based on deep feature extraction and fusion
In turbofan engine datasets, to address problems, such as noise interference, diverse data types, large data volumes, complex feature extraction, inability to effectively describe degradation trends, and poor ...
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Article
Smart manufacturing of nonferrous metallurgical processes: Review and perspectives
The nonferrous metallurgical (NFM) industry is a cornerstone industry for a nation’s economy. With the development of artificial technologies and high requirements on environment protection, product quality, a...
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Article
Minimal observability of Boolean networks
In this study, the minimum observability of Boolean networks (BNs) is investigated by using the semi-tensor product (STP) of matrices. First, a new system based on the considered BN is obtained to analyze stat...
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Article
Stabilization of Boolean control networks with state-triggered impulses
Previously, impulses were used to model abrupt changes in dynamic biological systems. This paper introduces a hybrid-index model that can characterize instantaneity of the impulsive behavior more effectively, ...
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Article
Soft-Sensing Model for Submerged Arc Furnace Electrode Current Based on Machine Learning
Electrode current plays a significant role in control of submerged arc furnaces. However, it is difficult to measure the values directly. Recent studies have expanded the available information on current distr...
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Article
Label propagation dictionary learning based process monitoring method for industrial process with between-mode similarity
With the development of the industrial cyber-physical systems, a small amount of labeled data and a large amount of unlabeled data are collected from the industrial process. Due to the variation of internal op...
