IEEE SMC: Systems, Man, & Cybernetics Society

IEEE/CAA Journal of Automatica Sinica

Scope

The scope of the IEEE/CAA Journal of Automatica Sinica includes the field of automation. The objective of this journal is high quality and rapid publication of articles, with a strong focus on new trends, original theoretical and experimental research and developments, emerging technologies, and industrial standards in automation. Specifically, the Journal focuses on such areas as automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network based automation, robotics, computer-aided technologies for automation systems, sensing and measurement, navigation, guidance, and control, smart city, smart grid, big data and data mining, internet of things, cyber-physical systems, blockchain, cloud computing for automation, mechatronics.

IEEE/CAA Journal of Automatica Sinica was lunched on January 1, 2014.

Editor-in-Chief

Qing-Long Han
Editor-In-Chief

Distinguished Professor, PhD, MAE, FIEEE, FIFAC, FIEAust
Member of the Academia Europaea (The Academy of Europe)

Pro Vice-Chancellor (Research Quality)

Swinburne University of Technology
EN Building, Level 6, Room 602c
John Street, Hawthorn, Melbourne, Victoria 3122, Australia

Tel.:  +61 3 9214 3808

Fax.:  +61 9214 8264

Email: [email protected]

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Articles

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03 February 2026
Offline Generalized Actor-Critic with Distance Regularization
In order to address the issue of overly conservative offline reinforcement learning (RL) methods that limit the generalization of policy in the out-of-distribution (OOD) region, this article designs a surrogate target for OOD value function based on dataset distance and proposes a novel generalized Q-learning mechanism with distance regularization (GQDR)....
03 February 2026
Motion Planning of an Autonomous Underwater Vehicle via the Integrated Design of Detection, Communication and Control
Dear Editor, This letter studies the motion planning issue for an autonomous underwater vehicle (AUV) in obstacle environment. We propose a novel integrated detection-communication waveform that enables simultaneous obstacle detection and self-localization. Then, a multi-pseudo Q-learning-based algorithm is designed to drive AUV to avoid obstacles and reach its destination. Major...
03 February 2026
A Further Study on Terminal Sliding Mode Control for Nonlinear Systems
In this paper, a unified terminal sliding mode (UTSM) control method is proposed for second-order nonlinear systems with uncertainties and disturbances. It is seen that the newly defined terminal sliding surface is integrated with both conventional and fast terminal sliding mode and exhibits design advantages such as a variable exponent,...
03 February 2026
Interpretable and Reliable Soft Sensor Development in Industry 5.0
Dear Editor, This letter presents a new approach to developing interpretable and reliable soft sensors for Industry 5.0 applications. Although sophisticated machine learning methods have made remarkable strides in soft-sensor predictive accuracy, ensuring interpretability and reliable performance across varying industrial operating conditions remains a challenge [1]–[4]. This is precisely what...
30 January 2026
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31 December 2025
Observer-Based Practical Prescribed-Time Consensus Tracking Control for Multiagent Systems with Unknown Virtual Control Coefficients
This paper proposes an observer-based prescribed-time consensus tracking control method for nonlinear multiagent systems with unknown virtual control coefficients. Existing prescribed-time distributed observers require information about leader input dynamics, which is unavailable in many practical applications. To address the above issue, this paper proposes an improved prescribed-time strategy as a...
31 December 2025
RBP-OP: Distributed Robust Belief Propagation Method with Odometry Preintegration for Multirobot Collaborative Localization
Distributed cooperative localization is essential to operate successfully for multirobot systems, especially in scenarios where absolute information cannot be continuously obtained. With the properties of distributed processing and message passing, Gaussian belief propagation has proven to be effective for achieving accurate pose estimation, making it a promising method for future...
31 December 2025
Advancing Healthcare with Large Language Models: Techniques and Application
As the costs of global healthcare systems continue to rise, large language models (LLMs) have emerged as a promising technology with vast potential and wide-ranging applications in the medical field. We provide a detailed overview of the lifecycle of medical LLMs, encompassing three key stages: get, refine, and use, aimed...
31 December 2025
Target Tracking by Cameras and Millimeter-Wave Radars: A Confidence Information Fusion Method
This paper addresses a confidence fusion problem of the camera and the millimeter-wave (MMW) radar for target tracking in intelligent driving systems. The local camera and radar estimators are performed by analyzing the measurement characteristics of each sensor. The radar estimates are aligned to the camera sampling time and the...
03 November 2025
HaIVFusion: Haze-Free Infrared and Visible Image Fusion
The purpose of infrared and visible image fusion is to create a single image containing the texture details and significant object information of the source images, particularly in challenging environments. However, existing image fusion algorithms are generally suitable for normal scenes. In the hazy scene, a lot of texture information...

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