A generic framework for qualifications of digital twins in maintenance
Available online 12 August 2023
Digital twins have emerged as a promising technology for maintenance applications, enabling organizations to simulate and monitor physical assets to improve their performance. In Operation and Maintenance...
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Deep learning and transfer learning for device-free human activity recognition: A survey
December 2022
Device-free activity recognition plays a crucial role in smart building, security, and human–computer interaction, which shows its strength in its convenience and cost-efficiency. Traditional machine...
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Adaptive recurrent neural network for uncertainties estimation in feedback control system
August 2023
In this paper, a recurrent neural network (RNN) is used to estimate uncertainties and implement feedback control for nonlinear dynamic systems. The neural network approximates the uncertainties related...
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A survey on computationally efficient neural architecture search
December 2022
Neural architecture search (NAS) has become increasingly popular in the deep learning community recently, mainly because it can provide an opportunity to allow interested users without rich expertise...
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A review on COLREGs-compliant navigation of autonomous surface vehicles: From traditional to learning-based approaches
December 2022
A growing interest in developing autonomous surface vehicles (ASVs) has been witnessed during the past two decades, including COLREGs-compliant navigation to ensure safe autonomy of ASVs operating in...
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MsFireD-Net: A lightweight and efficient convolutional neural network for flame and smoke segmentation
August 2023
With the rising frequency and severity of wildfires across the globe, researchers have been actively searching for a reliable solution for early-stage forest fire detection. In recent years, Convolutional...
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Non-intrusive soil carbon content quantification methods using machine learning algorithms: A comparison of microwave and millimeter wave radar sensors
August 2023
Agricultural and forestry biomass can be converted to biochar through pyrolysis gasification, making it a significant carbon source for soil. Applying biochar to soil is a carbon-negative process that...
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Distributed computations for large-scale networked systems using belief propagation
May 2023
This paper introduces several related distributed algorithms, generalised from the celebrated belief propagation algorithm for statistical learning. These algorithms are suitable for a class of computational...
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Autonomous exploration using UWB and LiDAR
February 2023
In autonomous exploration, a robot navigates itself in an unknown environment while building a 2D map of the environment. This is typically done using a LiDAR sensor, which however is susceptible to...
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Matrix pencil based robust control for feedforward systems with event-triggered communications and sensor/actuator faults
August 2023
In this paper we address the issue of output-feedback robust control for a class of feedforward nonlinear systems. Essentially different from the related literature, the feedback/input signals are corrupted...
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2-D distributed pose estimation of multi-agent systems using bearing measurements
May 2023
This article studies distributed pose (orientation and position) estimation of leader–follower multi-agent systems over κ-layer graphs in 2-D plane. Only the leaders have access to their orientations...
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Reachable set estimation for discrete-time Markovian jump neural networks with unified uncertain transition probability
August 2023
This paper focuses on the reachable set estimation for Markovian jump neural networks with time delay. By allowing uncertainty in the transition probabilities, a framework unifies and enhances the generality...
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Leveraging on few-shot learning for tire pattern classification in forensics
August 2023
This paper presents a novel approach for tire-pattern classification, aimed at conducting forensic analysis on tire marks discovered at crime scenes. The classification model proposed in this study...
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Practical prescribed-time tracking control for uncertain strict-feedback systems with guaranteed performance under unknown control directions
May 2023
In this paper, we consider the practical prescribed-time performance guaranteed tracking control problem for a class of uncertain strict-feedback systems subject to unknown control direction. Due to...
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Evolutionary games and spatial periodicity
May 2023
Spatial interactions are considered an important factor influencing a variety of evolutionary processes that take place in structured populations. It still remains an open problem to fully understand...
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Controllability robustness of complex networks
December 2022
This article presents an overview on the state-of-the-art development in complex network controllability and its robustness against malicious attacks and random failures. Specifically, it first reviews...
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Sampled-data control through model-free reinforcement learning with effective experience replay
February 2023
Reinforcement Learning (RL) based control algorithms can learn the control strategies for nonlinear and uncertain environment during interacting with it. Guided by the rewards generated by environment,...
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Error reachable set based stabilization of switched linear systems with bounded peak disturbances
May 2023
This paper investigates the error reachable set based stabilization problem for a class of discrete-time switched linear systems with bounded peak disturbances under persistent dwell-time (PDT) constraint....
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Practical bipartite consensus for multi-agent systems: A barrier function-based adaptive sliding-mode control approach
February 2023
This paper is concerned with bipartite consensus tracking for multi-agent systems with unknown disturbances. A barrier function-based adaptive sliding-mode control (SMC) approach is proposed such that...
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Robust adaptive estimator based on a novel objective function—Using the L1-norm and L0-norm
May 2023
To fully take advantage of LMS, LMAT, and SELMS, a novel adaptive estimator using the L1-norm and L0-norm of the estimated error is proposed in this paper. Then based on minimizing the mean-square deviation...
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Spline adaptive filtering algorithm based on different iterative gradients: Performance analysis and comparison
February 2023
Two novel spline adaptive filtering (SAF) algorithms are proposed by combining different iterative gradient methods, i.e., Adagrad and RMSProp, named SAF-Adagrad and SAF-RMSProp, in this paper. Detailed...
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Model predictive control for water management and energy security in arid/semiarid regions
December 2022
This paper aims to develop a realistic operational optimal management of a water supply system in an arid/semiarid region under climate change conditions. The developed model considers the dynamic variation...
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Lyapunov-based fixed-time stabilization control of quantum systems
December 2022
In this paper, we consider the fixed-time stabilization control problem of quantum systems modeled by Schrödinger equations. Firstly, the Lyapunov-based fixed-time stability criterion is extended to...
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Towards cognitive navigation: A biologically inspired calibration mechanism for the head direction cell network
February 2023
To derive meaningful navigation strategies, animals have to estimate their directional headings in the environment. Accordingly, this function is achieved by the head direction cells that were found...
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Cost-effective distributed FTFC for uncertain nonholonomic mobile robot fleet with collision avoidance and connectivity preservation
February 2023
In this paper, the fault-tolerant formation control (FTFC) problem is investigated for a group of uncertain nonholonomic mobile robots with limited communication ranges and unpredicted actuator faults,...
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