SPADE: A spatial information assisted collision distance estimator for robotic arm
Available online 22 November 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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Adaptive neural network event-triggered secure formation control of nonholonomic mobile robots subject to deception attacks
Available online 5 November 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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Model predictive control for unprotected left-turn based on sequential convex programming
Available online 28 October 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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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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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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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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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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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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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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ConGCNet: Convex geometric constructive neural network for Industrial Internet of Things
September 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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Saturation-tolerant prescribed control of MIMO nonlinear systems with actuator faults
Available online 21 September 2024
This paper addresses the tracking control problem of a class of multiple-input–multiple-output nonlinear systems subject to actuator faults. Achieving a balance between input saturation and performance...
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Synergistic frameworks for sensor fault isolation and accommodation in grid-side converters
Available online 13 September 2024
The stable and reliable operation of grid-integrated renewable energy systems requires advanced control and coordination of grid-side converters (GSCs), utilizing the feedback measurements of voltage...
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Industry demand response in dispatch strategy for high-proportion renewable energy power system
Available online 4 September 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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A genetic programming approach with adaptive region detection to skin cancer image classification
Available online 1 September 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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A data-driven control method for ground locomotion on sloped terrain of a hybrid aerial-ground robot
Available online 22 August 2024
In this work, we present a data-driven solution for the attitude control of DoubleBee on slopes. DoubleBee is a novel hybrid aerial-ground robot with two rotors and two active wheels. Inspired by the...
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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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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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