A survey on multi-agent reinforcement learning and its application
Available online 18 February 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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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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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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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 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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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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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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Stochastic sampled-data multi-objective control of active suspension systems for in-wheel motor driven electric vehicles
March 2024
This paper addresses the sampled-data multi-objective active suspension control problem for an in-wheel motor driven electric vehicle subject to stochastic sampling periods and asynchronous premise...
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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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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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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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Practical prescribed-time fuzzy tracking control for uncertain nonlinear systems with time-varying actuators faults
March 2024
The paper investigates the practical prescribed-time fuzzy tracking control problem for a category of nonlinear system subject to time-varying actuator faults. The presence of unknown nonlinear dynamics...
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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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Event-based performance guaranteed tracking control for constrained nonlinear system via adaptive dynamic programming method
November 2023
An optimal tracking control problem for a class of nonlinear systems with guaranteed performance and asymmetric input constraints is discussed in this paper. The control policy is implemented by adaptive...
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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
Available online 28 February 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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Consensus of networked control multi-agent systems using a double-layer encryption scheme
November 2023
This paper addresses the decentralized consensus problem for a system of multiple dynamic agents with remote controllers via networking, known as a networked control multi-agent system (NCMAS). It presents...
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Bilateral co-transfer for unsupervised domain adaptation
November 2023
Labeled data scarcity of an interested domain is often a serious problem in machine learning. Leveraging the labeled data from other semantic-related yet co-variate shifted source domain to facilitate...
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A new optimal adaptive backstepping control approach for nonlinear systems under deception attacks via reinforcement learning
March 2024
In this paper, a new optimal adaptive backstepping control approach for nonlinear systems under deception attacks via reinforcement learning is presented in this paper. The existence of nonlinear terms...
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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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Adaptive predictor-based control for a helicopter system with input delays: Design and experiments
March 2024
In this paper, we consider a 2-degrees-of-freedom (DOF) helicopter system subject to long input delays and uncertain system parameters. To address the challenges including unknown system parameters...
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Exact controllability of rational expectations model with multiplicative noise and input delay
March 2024
This paper considers the rational expectations model with multiplicative noise and input delay, where the system dynamics rely on the conditional expectations of future states. The main contribution...
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Event-triggered H∞ PI state estimation for delayed switched neural networks
March 2024
On state estimation problems of switched neural networks, most existing results with an event-triggered scheme (ETS) not only ignore the estimator information, but also just employ a fixed triggering...
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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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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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