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

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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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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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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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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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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Stackelberg game-based optimal secure control against hybrid attacks for networked control systems

This paper investigates the problem of optimal secure control for networked control systems under hybrid attacks. A control strategy based on the Stackelberg game framework is proposed, which differs...

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Distributed optimal formation control of heterogeneous Euler–Lagrange multi-agent systems

In this paper, the distributed optimal formation control problem of heterogeneous Euler–Lagrange multi-agent systems with generic formation constraints and inequality constraints is investigated. Based...

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Generalized spline adaptive filtering algorithm based on q-hyperbolic function

Based on the superiority of adaptive filtering algorithms designed with hyperbolic function-like objective functions, this paper proposes generalized spline adaptive filtering (SAF) algorithms designed...

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DPCIPI: A pre-trained deep learning model for predicting cross-immunity between drifted strains of Influenza A/H3N2

Predicting cross-immunity between viral strains is vital for public health surveillance and vaccine development. Traditional neural network methods, such as BiLSTM, could be ineffective due to the lack...

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Time-synchronized control with the least upper bound of fixed settling time

This paper introduces time-synchronized convergence in fixed-time control, where all system states converge to the origin at the same time before a fixed time instant. Sufficient Lyapunov conditions...

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Fault-tolerant control for swarm systems: A geometric-based PDE planning approach

This paper investigates the issue of fault-tolerant control for swarm systems subject to switched graphs, actuator faults and obstacles. A geometric-based partial differential equation (PDE) framework...

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Group formation tracking for heterogeneous linear multi-agent systems under switching topologies

This article investigates the time-varying output group formation tracking control (GFTC) problem for heterogeneous multi-agent systems (HMASs) under switching topologies. The objective is to design...

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Decentralised adaptive learning-based control of robot manipulators with unknown parameters

This paper studies motor joint control of a 4-degree-of-freedom (DoF) robotic manipulator using learning-based Adaptive Dynamic Programming (ADP) approach. The manipulator’s dynamics are modelled as...

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A survey on Ultra Wide Band based localization for mobile autonomous machines

The fast growth of mobile autonomous machines from traditional equipment to unmanned autonomous vehicles has fueled the demand for accurate and reliable localization solutions in diverse application...

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Enhanced surface defect detection of cylinder liners using Swin Transformer and YOLOv8

The service life of internal combustion engines is significantly influenced by surface defects in cylinder liners. To address the limitations of traditional detection methods, we propose an enhanced...

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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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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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