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ISSN: 2949-8554
CN: 50-1232/TP
p-ISSN: 2097-504X

Human-AI interactive optimized shared control

This paper presents an optimized shared control algorithm for human-AI interaction, implemented through a digital twin framework where the physical system and human operator act as the real agent while...

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Grey wolf optimization-based fuzzy-PID controller for load frequency control in multi-area power systems

This study develops a GWO-optimized cascaded fuzzy-PID controller with triangular membership functions for load frequency control in interconnected power systems. The controller’s effectiveness is demonstrated...

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Enhancing the generalization capability of 2D array pointer networks through multiple teacher-forcing knowledge distillation

The Heterogeneous Capacitated Vehicle Routing Problem (HCVRP), which involves efficiently routing vehicles with diverse capacities to fulfill various customer demands at minimal cost, poses an NP-hard...

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A data-driven control method for ground locomotion on sloped terrain of a hybrid aerial-ground robot

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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A genetic programming approach with adaptive region detection to skin cancer image classification

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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Industry demand response in dispatch strategy for high-proportion renewable energy power system

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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Synergistic frameworks for sensor fault isolation and accommodation in grid-side converters

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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Model predictive control for unprotected left-turn based on sequential convex programming

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 neural network event-triggered secure formation control of nonholonomic mobile robots subject to deception attacks

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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SPADE: A spatial information assisted collision distance estimator for robotic arm

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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Reinforcement learning with soft temporal logic constraints using limit-deterministic generalized Büchi automaton

This paper investigates control synthesis for motion planning under conditions of uncertainty, specifically in robot motion and environmental properties, which are modeled using a probabilistic labeled...

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Large language models for robotics: Opportunities, challenges, and perspectives

Large language models (LLMs) have undergone significant expansion and have been increasingly integrated across various domains. Notably, in the realm of robot task planning, LLMs harness their advanced...

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Distributed algorithms for aggregative games with multiple uncertain Euler–Lagrange systems over switching networks

In this paper, we investigate the distributed Nash equilibrium (NE) seeking problem for aggregative games with multiple uncertain Euler–Lagrange (EL) systems over jointly connected and weight-balanced...

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Global prescribed performance control for lane-keeping of automated vehicles considering input saturation

This paper addresses the lane-keeping control problem for autonomous ground vehicles subject to input saturation and uncertain system parameters. An enhanced adaptive terminal sliding mode based prescribed...

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Fault-tolerant control of wheeled mobile robots with prescribed trajectory tracking performance

The problem of trajectory tracking for a class of differentially driven wheeled mobile robots (WMRs) under partial loss of the effectiveness of the actuated wheels is investigated in this paper. Such...

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Adaptive regulation-based Mutual Information Camouflage Poisoning Attack in Graph Neural Networks

Studies show that Graph Neural Networks (GNNs) are susceptible to minor perturbations. Therefore, analyzing adversarial attacks on GNNs is crucial in current research. Previous studies used Generative...

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Exponential stabilization of linear systems with feedback optimization and its application to microgrids control

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

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

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

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

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

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

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

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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