Recent Articles

Open access

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

Essay on robust prescribed-time stabilization

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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...

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...

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...

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...

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...

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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