A survey on multi-agent reinforcement learning and its application
June 2024
Multi-agent reinforcement learning (MARL) has been a rapidly evolving field. This paper presents a comprehensive survey of MARL and its applications. We trace the historical evolution of MARL, highlight...
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AV-FDTI: Audio-visual fusion for drone threat identification
September 2024
In response to the evolving challenges posed by small unmanned aerial vehicles (UAVs), which have the potential to transport harmful payloads or cause significant damage, we present AV-FDTI, an innovative...
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Optimal decarbonisation pathway for mining truck fleets
September 2024
The fossil fuel powered mining truck fleets can contribute up to 80% of total emissions in open pit mines. This study investigates the optimal decarbonisation pathway for mining truck fleets. Notably,...
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A comprehensive survey of robust deep learning in computer vision
November 2023
Deep learning has presented remarkable progress in various tasks. Despite the excellent performance, deep learning models remain not robust, especially to well-designed adversarial examples, limiting...
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Actuator and sensor fault isolation in a class of nonlinear dynamical systems
June 2024
Fault isolation in dynamical systems is a challenging task due to modeling uncertainty and measurement noise, interactive effects of multiple faults and fault propagation. This paper proposes a unified...
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Fast and robust strain signal processing for aircraft structural health monitoring
September 2024
This work elaborates a fast and robust structural health monitoring scheme for copying with aircraft structural fatigue. The type of noise in structural strain signals is determined by using a statistical...
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A genetic programming approach with adaptive region detection to skin cancer image classification
December 2024
Dermatologists typically require extensive experience to accurately classify skin cancer. In recent years, the development of computer vision and machine learning has provided new methods for assisted...
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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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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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Large-scale self-normalizing neural networks
June 2024
Self-normalizing neural networks (SNN) regulate the activation and gradient flows through activation functions with the self-normalization property. As SNNs do not rely on norms computed from minibatches,...
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Industry demand response in dispatch strategy for high-proportion renewable energy power system
December 2024
On the power supply side, renewable energy (RE) is an important substitute to traditional energy, the effective utilization of which has become one of the major challenges in risk-constrained power...
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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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Containment control of heterogeneous multi-agent systems subject to Markovian randomly switching topologies and unbounded delays
September 2024
This paper addresses the problem of containment control for heterogeneous multi-agent systems subject to Markovian randomly switching topologies and unbounded communication delays. The objective is...
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Exponential stabilization of linear systems with feedback optimization and its application to microgrids control
September 2024
This paper proposes a feedback-optimization-based control method for linear time-invariant systems, which is aimed to exponentially stabilize the system and, meanwhile, drive the system output to an...
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A generic framework for qualifications of digital twins in maintenance
November 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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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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Adaptive neural network event-triggered secure formation control of nonholonomic mobile robots subject to deception attacks
December 2024
This paper investigates the adaptive neural network (NN) event-triggered secure formation control problem for nonholonomic mobile robots (NMRs) subject to deception attacks. The NNs are employed to...
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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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Optimal integration of solar home systems and appliance scheduling for residential homes under severe national load shedding
November 2023
In developing countries like South Africa, users experienced more than 1 030 hours of load shedding outages in just the first half of 2023 due to inadequate power supply from the national grid. Residential...
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Prescribed finite-time stabilization of fuzzy neural networks with time-varying controller
September 2024
This paper investigates the exponential and prescribed finite-time stabilization with time-varying controller. First, the constraints of boundedness and differentiability on time delays are simultaneously...
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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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A finite-time fuzzy adaptive output-feedback fault-tolerant control for underactuated wheeled mobile robots systems
June 2024
This paper investigates the adaptive fuzzy finite-time output-feedback fault-tolerant control (FTC) problem for a class of nonlinear underactuated wheeled mobile robots (UWMRs) system with intermittent...
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Model predictive control for unprotected left-turn based on sequential convex programming
December 2024
In autonomous driving, an unprotected left turn is a highly challenging scenario. It refers to the situation where there is no dedicated traffic signal controlling the left turns; instead, left-turning...
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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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SPADE: A spatial information assisted collision distance estimator for robotic arm
December 2024
The movement of a robotic arm in the working environment requires efficient and adequate motion planning. The procedure of collision detection based on the object geometry is crucial to plan the motion...
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