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]

REQUEST TO UPDATE CONTENT BOOKMARK PAGE

Articles

SUBMIT MANUSCRIPT
CURRENT ISSUE
PAST ISSUES

16 June 2025
Embodied Multi-Agent Systems: A Review
Multi-agent systems (MASs) have demonstrated significant achievements in a wide range of tasks, leveraging their capacity for coordination and adaptation within complex environments. Moreover, the enhancement of their intelligent functionalities is crucial for tackling increasingly challenging tasks. This goal resonates with a paradigm shift within the artificial intelligence (AI) community,...
16 June 2025
Robust Optimization Control for Cyber-Physical Systems Subject to Jamming Attack: A Nested Game Approach
Dear Editor, With the advances in computing and communication technologies, the cyber-physical system (CPS), has been used in lots of industrial fields, such as the urban water cycle, internet of things, and human-cyber systems [1], [2], which has to face up to malicious cyber-attacks towards cyber communication of control commands....
16 June 2025
Bearings-Only Target Motion Analysis via Deep Reinforcement Learning
Dear Editor, This letter introduces a novel approach to address the bearings-only target motion analysis (BO-TMA) problem by incorporating deep reinforcement learning (DRL) techniques. Conventional methods often exhibit biases and struggle to achieve accurate results, especially when confronted with high levels of noise. In this letter, we formulate the BO-TMA...
16 June 2025
SILIC: Intelligent On/Off Control for Networked Solar Insecticidal Lamps
The solar insecticidal lamp (SIL) is an innovative green control device. Nevertheless, a major challenge is often encountered when carrying out insecticidal work is low energy utilization efficiency. The substantial energy consumption required to turn on the SIL, coupled with the extension of insecticidal working time during the low pest...
13 June 2025
A Proportional Integral Controller-Enhanced Non-Negative Latent Factor Analysis Model
A non-negative latent factor (NLF) model is able to be built efficiently via a single latent factor-dependent, non-negative and multiplicative update (SLF-NMU) algorithm for performing precise representation to high-dimensional and incomplete (HDI) matrix from many kinds of big-data-related applications. However, an SLF-NMU algorithm updates a latent factor relying on the...
See more at IEEE Xplore

16 May 2025
DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models
DeepSeek, a Chinese artificial intelligence (AI) startup, has released their V3 and R1 series models, which attracted global attention due to their low cost, high performance, and open-source advantages. This paper begins by reviewing the evolution of large AI models focusing on paradigm shifts, the mainstream large language model (LLM)...
15 May 2025
Exploring DeepSeek: A Survey on Advances, Applications, Challenges and Future Directions
The rapid advancement of large models has led to the development of increasingly sophisticated models capable of generating diverse, personalized, and high-quality content. Among these, DeepSeek has emerged as a pivotal open-source initiative, demonstrating high performance at significantly lower computation costs compared to closed-source counterparts. This survey provides a comprehensive...
15 May 2025
MEET: A Million-Scale Dataset for Fine-Grained Geospatial Scene Classification With Zoom-Free Remote Sensing Imagery
Accurate fine-grained geospatial scene classification using remote sensing imagery is essential for a wide range of applications. However, existing approaches often rely on manually zooming remote sensing images at different scales to create typical scene samples. This approach fails to adequately support the fixed-resolution image interpretation requirements in real-world scenarios....
15 April 2025
Applications of domain generalization to machine fault diagnosis: A survey
In actual industrial scenarios, the variation of operating conditions, the existence of data noise, and failure of measurement equipment will inevitably affect the distribution of perceptive data. Deep learning-based fault diagnosis algorithms strongly rely on the assumption that source and target data are independent and identically distributed, and the learned...
31 March 2025
A $k$-Winners-Take-All $(ktext{WTA})$ Network with Noise Characteristics Captured
Competition-based $k-mathbf{winners}-mathbf{take}-mathbf{all} (k mathbf{WTA})$ networks play a crucial role in multi-agent systems. However, existing $k mathbf{WTA}$ networks either neglect the impact of noise or only consider simple forms, such as constant noise. In practice, noises often exhibit time-varying and nonlinear characteristics, which can be modeled using nonlinear functions and approximated...

See more at IEEE Xplore