Recent Articles

Open access

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

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...

Reinforcement-learning-based structured optimal control for linear stochastic systems

This paper investigates the reinforcement-learning-based structured optimal control for linear stochastic systems with an unknown state matrix under communication topology constraints. A data-driven...

Transformer-Kalman fusion for monocular 3D surgical instrument localization

Precise and real-time localization of surgical instruments is essential for perception-driven automation in robot-assisted minimally invasive surgery. This work presents a unified monocular 3D localization...

Distributed optimization for unknown linear systems: A direct data-driven approach

This paper studies the distributed-optimization problems of general linear multi-agent systems (MASs) with unknown dynamics. The goal is to collaboratively optimize the global objective function composed...

A comprehensive review of quadruped robots: Vision perception, motion control, applications and challenges

With the ongoing technological advancements, mobile robots with biomimetic structures have garnered significant attention due to their dynamic performance and adaptability to complex environments. Among...

A survey on robust stability and performance for networked control systems

This survey presents a comprehensive overview of networked control systems (NCSs), focusing on stability and performance guarantees under network-induced effects and constraints, mainly emphasizing...

EKF-enhanced hybrid visual servoing with deep perception for autonomous endoscope control in robotic surgery

In robot-assisted minimally invasive surgery (MIS), precise automatic control of the endoscope is crucial for maintaining optimal visualization. Regarding the additional burden imposed on surgeons due...

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...

Adaptive event-triggered coding and decoding scheme based on fuzzy logic

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

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

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

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

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

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

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

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

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

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

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

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...

DistFormer+: A robotic arm collision distance estimator for multi-obstacle environments

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...

Robust stability analysis via disturbance-dependent Lyapunov functions

The Lyapunov functions method is a powerful stability analysis tool of complex dynamic systems. In this work, it is revised for stability analysis under uncertain conditions to augment the arsenal of...

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