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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12 March 2026
Exponential Synchronization of Infinite-Dimensional Stochastic Systems with Poisson Jumps Under Aperiodically Intermittent Impulse Control
A novel aperiodically intermittent impulse control (AIIC) method is proposed to investigate the exponential synchronization in mean square (ESMS) of a class of impulsive stochastic infinite-dimensional systems with Poisson jumps (ISIDSP). The AIIC control strategy inherits the flexibility of aperiodically intermittent control, including the variable control period, adjustable control interval...
12 March 2026
Advanced High-Order Graph Convolutional Networks with Assorted Time-Frequency Transforms
A dynamic graph (DG) is adopted to portray the evolving interplay between nodes in real-world scenarios prevalently. A high-order graph convolutional network (HGCN) is equipped with the ability to represent a DG by the spatial-temporal message passing mechanism built on tensor product. Concretely, an HGCN utilizes the discrete Fourier transform...
12 March 2026
Searching Positive-Incentive Noise from Optimal Consensus in Continuous Action Iterated Dilemma
In this paper, an analysis-definition-processing (ADP) framework is proposed to search positive-incentive noise in continuous action iterated dilemma (CAID). We analyze the influence of communication noise on the cooperative behavior of players in the system and introduce the concept of positive-incentive noise in CAID. We design a global cost function...
10 March 2026
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10 March 2026
Collaboration Better Than Integration: A Novel Time-Frequency-Assisted Deep Feature Enhancement Mechanism for Few-Shot Transfer Learning in Anomaly Detection
Deep transfer learning has achieved significant success in anomaly detection over the past decade, but data acquisition challenges in practical engineering hinder high-quality feature representation for few-shot learning tasks. To address this issue, a novel time-frequency-assisted deep feature enhancement (TFE) mechanism is proposed. Unlike traditional methods that integrate time-frequency analysis...
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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,...
30 January 2026
Global Adaptive Event-Triggered Designated-Time Stabilization of Uncertain Nonlinear Systems
This paper explores the adaptive exponentially designated-time stabilization issue via event-triggered feedback for a kind of uncertain high-order nonlinear systems. The motivation mainly comes from the following two challenges: the undesired singularity problem arising from infinite control gains at the prescribed-time instant, the effective tradeoff between the control amplitude and...
30 January 2026
Networked Predictive Control: A Survey
Networked predictive control (NPC) has gained significant attention in recent years for its ability to effectively and actively address communication constraints in networked control systems (NCSs), such as network-induced delays, packet dropouts, and packet disorders. Despite significant advancements, the increasing complexity and dynamism of network environments, along with the growing...
30 January 2026
Attack-Resilient Distributed Nash Equilibrium Seeking for Networked Games Under Unbounded FDI Attacks: Theory and Experiment
An attack-resilient distributed Nash equilibrium (NE) seeking problem is addressed for noncooperative games of networked systems under malicious cyber-attacks, i.e., false data injection (FDI) attacks. Different from many existing distributed NE seeking works, it is practical and challenging to get resilient adaptively distributed NE seeking under unknown and unbounded FDI...
30 January 2026
Fault-Tolerant Control Achieving Prescribed Tracking Accuracy Within Given Time for Euler-Lagrange Systems Under Unknown Actuation Characteristics and Fading Powering Faults
This paper proposes a fault-tolerant control scheme for Euler-Lagrange systems that ensures the tracking error decays to a pre-specified accuracy level within a prescribed time period, despite unknown actuation characteristics and potential fading powering faults. By performing deliberately designed coordinate transformations on the tracking error, the complex and demanding problem...

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