ConGCNet: Convex geometric constructive neural network for Industrial Internet of Things
Available online 20 July 2024
The intersection of the Industrial Internet of Things (IIoT) and artificial intelligence (AI) has garnered ever-increasing attention and research interest. Nevertheless, the dilemma between the strict...
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Prescribed finite-time stabilization of fuzzy neural networks with time-varying controller
Available online 15 July 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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Exponential stabilization of linear systems with feedback optimization and its application to microgrids control
Available online 6 July 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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Fast and robust strain signal processing for aircraft structural health monitoring
Available online 5 July 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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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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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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Robust adaptive leaderless consensus of unknown non-minimum phase linear multi-agent systems subject to disturbances and/or unmodeled dynamics
June 2024
This article investigates the problem of robust adaptive leaderless consensus for heterogeneous uncertain non-minimum phase linear multi-agent systems over directed communication graphs. Each agent...
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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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Event-triggered robust cooperative output regulation for a class of linear multi-agent systems with an unknown exosystem
June 2024
This paper investigates the robust cooperative output regulation problem for a class of heterogeneous uncertain linear multi-agent systems with an unknown exosystem via event-triggered control (ETC)....
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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
Available online 25 June 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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Containment control of heterogeneous multi-agent systems subject to Markovian randomly switching topologies and unbounded delays
Available online 12 June 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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New year with new achievements
March 2024
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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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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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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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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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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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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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Optimal decarbonisation pathway for mining truck fleets
Available online 20 March 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 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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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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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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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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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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