Recent Articles

Open access

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

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...

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...

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...

Review on the developments of sliding function and adaptive gain in sliding mode control

Sliding mode control (SMC) is a well-known robust nonlinear control method with strong robustness and fast response which has been widely used in many applications. This paper introduces the major results...

Tire wear aware trajectory tracking control for Multi-axle Swerve-drive Autonomous Mobile Robots

Multi-axle Swerve-drive Autonomous Mobile Robots (MS-AGVs) equipped with independently steerable wheels are commonly used for high-payload transportation. In this work, we present a novel model predictive...

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...

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...

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...

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...

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...

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...

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...

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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