Coding-based distributed filtering for cyber–physical systems under denial of service attacks
March 2026
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...
Adaptive event-triggered coding and decoding scheme based on fuzzy logic
March 2026
In this paper, we propose a fuzzy logic-based coded event-triggered control with self-adjustable prescribed performance (FL-CEC-SPP) to address the trade-off between control performance and communication...
Agentic AI: The age of reasoning—A review
March 2026
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,...
Output feedback prescribed performance state synchronization for leader-following high-order uncertain nonlinear multi-agent systems
March 2026
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...
Adaptive optimal tracking control for underactuated surface vessels using extended state observer and reinforcement learning
March 2026
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...
Essay on robust prescribed-time stabilization
March 2026
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,...
GRA: Graph-based reward aggregation for cooperative multi-agent reinforcement learning
March 2026
Multi-agent reinforcement learning (MARL) has proven its effectiveness in cooperative multi-agent systems (MASs) but still faces issues on the curse of dimensionality and learning efficiency. The main...
Dual-channel event-triggered data-driven control for energy storage system with input saturation and packet loss
Available online 10 March 2026
This paper proposes a dual-channel dynamic event-triggered (DET) constrained control strategy with packet loss compensation to regulate power in battery energy storage systems (BESSs) under packet loss...
Data-driven dual-channel event-triggered attitude control for helicopter with quantized information
Available online 10 March 2026
In this paper, a dual-channel event-triggered quantized model-free adaptive control method for a three-degree-of-freedom helicopter attitude control system with limited communication resources is presented....
Quadrotor-based trajectory tracking control of wind turbine blades: A dual-closed-loop ADRC approach
Available online 4 March 2026
This paper is concerned with the tracking control problem of a quadrotor for the motion trajectory of wind turbine blades subject to external disturbances. Due to the unpredictability and complexity...
Finite-time data-driven sliding-mode control for bridge cranes under sensor saturation and quantized information
Available online 3 March 2026
This paper addresses sliding-mode control for bridge crane systems within a finite time horizon, accounting for uncertain dynamics and sensor saturation constraints. Firstly, partial feedback linearization...
Asymptotic attitude tracking control for uncertain quadrotors based on enhanced controllability condition
Available online 26 February 2026
In this work, we delve into the asymptotic attitude tracking control problem of a class of uncertain quadrotors, considering multiple kinds of uncertainties including unknown system parameters, unmodeled...
Accurate pulmonary nodule detection via progressive multi-scale networks and geometric constraint refinement
Available online 17 February 2026
Pulmonary nodule detection in CT images plays a crucial role in the early diagnosis of lung cancer. However, the development of efficient detection systems, especially in reliable detection of small...
Supervisory control of Petri nets with uncontrollable and unobservable transitions under replacement attacks
Available online 17 February 2026
In this paper, we study the robust control of discrete event systems modeled by Petri nets with uncontrollable and unobservable transitions under replacement attacks. The existing supervisory control...
Looking back at JAI’ 2025: A year of steady progress and distinguished achievements.
Available online 12 February 2026
A dynamic weighted deep-broad learning architecture for wind power interval prediction
Available online 3 February 2026
Predicting wind power is essential for the stable and economical operation of power grids. Traditional point forecasts often struggle to capture volatility, while wind power interval prediction (WPIP)...
Adaptive neural network fixed-time formation control of unmanned ground vehicles
Available online 19 January 2026
This paper is concerned with the fixed-time formation control problem of unmanned ground vehicles. The essential work of this paper is the development of a practical fixed-time formation control strategy...
DistFormer+: A robotic arm collision distance estimator for multi-obstacle environments
Available online 15 January 2026
Learning-based collision detectors have been widely applied in path planning due to their faster detection speed compared to traditional computational geometry-based collision detectors. Existing learning-based...
Tire wear aware trajectory tracking control for Multi-axle Swerve-drive Autonomous Mobile Robots
December 2025
Multi-axle Swerve-drive Autonomous Mobile Robots (MS-AMRs) equipped with independently steerable wheels are commonly used for high-payload transportation. In this work, we present a novel Model Predictive...
Review on the developments of sliding function and adaptive gain in sliding mode control
December 2025
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...
Novel multi-agent action masked deep reinforcement learning for general industrial assembly lines balancing problems
December 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...
Fuzzy adaptive finite-time inverse optimal control for active suspension systems
December 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...
Privacy-preserving distributed consensus over directed networks with limited communication
December 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
December 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...