Leader–follower consensus of nonlinear multi-agent systems under DoS attack based on edge-event triggered mechanisms
Available online 29 October 2025
Consider that nonlinear terms for multi-agent systems (MASs) exist and information transmission among agents is interrupted by denial-of-service (DoS) attacks, the paper focuses on the leader–follower...
Security stabilization for switched systems via dynamic sampling strategies
Available online 29 October 2025
This paper investigates the problem of state feedback stabilization for a class of planar switched nonlinear systems (PSNSs) subject to Denial-of-Service (DoS) attacks. By incorporating a technique...
Global quantized output feedback control of nonlinear systems under non-Lipschitz condition
Available online 28 October 2025
In this paper, a novel backstepping-based output feedback control algorithm is developed for uncertain nonlinear systems subject to both input and output quantization, while ensuring the prescribed...
A survey of safety control for service robots
Available online 17 October 2025
Safety constitutes the fundamental bottleneck in human–robot integration, particularly for service robots operating in unstructured environments. This survey systematically reviews the research progress...
Region-weighted gradient and motion-aware camera exposure control for robust visual odometry
Available online 17 October 2025
Visual odometry (VO) often suffers from performance degradation in high dynamic range (HDR) scenarios due to uneven illumination conditions, Adversely affecting localization accuracy. to address this...
Essay on robust prescribed-time stabilization
Available online 6 October 2025
As well-known, prescribed-time stabilizing design faces the need of using time-varying high gains which escape to infinity as time approaches the desired instant. In the presence of measurement noise,...
Human–AI interactive optimized shared control
September 2025
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...
Enhanced surface defect detection of cylinder liners using Swin Transformer and YOLOv8
September 2025
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...
Fault-tolerant control for swarm systems: A geometric-based PDE planning approach
September 2025
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...
Stackelberg game-based optimal secure control against hybrid attacks for networked control systems
September 2025
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...
Dynamic hedging of 50ETF options using Proximal Policy Optimization
September 2025
This paper employs the PPO (Proximal Policy Optimization) algorithm to study the risk hedging problem of the Shanghai Stock Exchange (SSE) 50ETF options. First, the action and state spaces were designed...
On the stability criteria for constrained switched linear systems with multiple faults
September 2025
Switched systems play an imperative role in modeling many real industrial systems with abrupt changes. Due to possible exposure to unreliable and complex physical environments, switching dynamics may...
Densely-connected Decoder Transformer for unsupervised anomaly detection of power electronic systems
September 2025
Reliable electricity infrastructure is critical for modern society, highlighting the importance of securing the stability of fundamental power electronic systems. However, as such systems frequently...
Multiplayer Pareto optimal control with H∞ constraint for nonlinear stochastic system via online synchronous reinforcement learning
September 2025
This paper investigates a multiplayer Pareto game for affine nonlinear stochastic systems disturbed by both external and the internal multiplicative noises. The Pareto cooperative optimal strategies...
Adaptive optimal tracking control for underactuated surface vessels using extended state observer and reinforcement learning
Available online 24 September 2025
This paper investigates the adaptive optimal tracking control (AOTC) for underactuated surface vessels (USVs). Compared to the majority of existing studies, the control strategy in this paper innovatively...
From black box to physically interpretable: Trustworthy computing for AI-driven decision-making and control
Available online 24 September 2025
As Artificial Intelligence (AI) becomes deeply integrated into the physical world, ensuring verifiable, robust, and safe decision-making and control is paramount. Purely data-driven methods, while successful...
Output feedback prescribed performance state synchronization for leader-following high-order uncertain nonlinear multi-agent systems
Available online 18 September 2025
This paper addresses the synchronization of follower agents’ state vectors with that of a leader in high-order nonlinear multi-agent systems. The proposed low-complexity control scheme employs high-gain...
Agentic AI: The age of reasoning—A review
Available online 28 August 2025
Artificial intelligence has experienced a significant boom with the emergence of agentic AI, where autonomous agents are increasingly replacing human intervention, enabling systems to perceive, reason,...
Privacy-preserving distributed consensus over directed networks with limited communication
Available online 26 August 2025
The issue of privacy leakage in distributed consensus has garnered significant attention over the years, but existing studies often overlook the challenges posed by limited communication in algorithm...
CLAD: Criterion Learner and Attention Distillation for automated CNN prunning
Available online 26 August 2025
Filter pruning effectively compresses the neural network by reducing both its parameters and computational cost. Existing pruning methods typically rely on pre-designed pruning criteria to measure filter...
Adaptive event-triggered coding and decoding scheme based on fuzzy logic
Available online 8 August 2025
In this paper, we propose a Fuzzy Logic-Based Coded Event-Triggered Scheme (FL-CEC-SPP) to address the trade-off between control performance and communication efficiency in resource-constrained networked...
Fuzzy adaptive finite-time inverse optimal control for active suspension systems
Available online 29 July 2025
This paper investigates the problem of fuzzy adaptive finite-time inverse optimal control for active suspension systems (ASSs). The fuzzy logic systems (FLSs) are utilized to learn the unknown non-linear...
Novel multi-agent action masked deep reinforcement learning for general industrial assembly lines balancing problems
Available online 22 July 2025
Efficient planning of activities is essential for modern industrial assembly lines to uphold manufacturing standards, prevent project constraint violations, and achieve cost-effective operations. While...
Coding-based distributed filtering for cyber-physical systems under denial of service attacks
Available online 1 July 2025
This article investigates the distributed recursive filtering problem for discrete-time stochastic cyber–physical systems. A particular feature of our work is that we consider systems in which the state...
Fault-tolerant control of wheeled mobile robots with prescribed trajectory tracking performance
June 2025
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...