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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02 June 2026
Temporal Formation Control for Multi-Agent Systems Based on Reachable Sets
This paper explores formation control for multiagent systems by reformulating desired formations using signal temporal logic (STL) specifications. To achieve flexibility and efficiency, we employ sparse polynomial zonotopes (SPZs) to represent several common formations and the system's state sets. This representation allows us to frame the formation control problem as...
02 June 2026
Gain-Based Neural Secure Protection Control for Feedforward Nonlinear Systems with Unknown Control Coefficients and Impulsive FDI Attacks
This paper proposes a gain-based neural secure protection (GBNSP) control scheme for feedforward nonlinear systems subject to unknown control coefficients and impulsive false data injection (FDI) attacks. Notably, the nonlinear functions of the systems are relaxed to any continuous functions and the control coefficients are permitted to be constants with...
02 June 2026
State Estimation for 2-D Markov Jump Systems with Multiple Observation Delays Over Decoded-and-Forward Relay Channels
This paper addresses the recursive state estimation problem for two-dimensional Markov jump systems (2-D MJSs) subject to multi-channel observation delays and packet losses under the decoded-and-forward (DaF) relay-based protocol. To enhance signal propagation distance and quality, the DaF relay-based policy is deployed to schedule data transmission over the sensor-to-estimator channels....
02 June 2026
Toward Resilient Vehicle Platooning: A Two-Layer Secure Control Architecture Against Hybrid Cyber-Physical Threats
This paper presents a hierarchical secure control framework for resilient vehicular platooning under hybrid cyber-physical threats, including coupled false data injection (FDI) and denial-of-service (DoS) attacks, as well as actuator faults. A two-layer architecture is adopted to decouple cyber-layer disruptions from physical-layer execution, thereby enhancing system modularity and fault isolation....
01 June 2026
A New Knowledge Mining and Root Cause Analysis Methodology for Multivariate Time Series
Root cause analysis (RCA) aims to discover the root causes of abnormal events. Causal relations reveal the evolution process of abnormal events, which plays a crucial role in RCA. However, existing methods neither explicitly emphasize the “AND/OR” relations among causes, nor consider the synergy effects owned by non-causal variables on...
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04 May 2026
A Distributed Braking Scheme for Heavy-Haul Trains Using Coupler Force Compensation
In this paper, a novel distributed braking scheme is proposed for automatic heavy-haul trains equipped with an electronically controlled pneumatic (ECP) braking system. The scheme consists of a coupler force compensator and a cooperative controller. The compensator is designed to counteract the coupler force acting on each car, i.e., the...
04 May 2026
Model-Free Variable Impedance Control of Redundant Manipulators for Soft Tissue Puncture
Robotic-assisted medical technology has long been a key area of research in modern surgical medicine. Robotic-assisted puncture techniques, both theoretically and practically, hold significant potential to improve puncture precision and overall surgical outcomes in clinical practice. This paper presents a model-free variable impedance control (MFVIC) method for robotic soft tissue...
30 April 2026
Understanding Agentic AI: Algorithms and Infrastructure
The rapid evolution of large language models (LLMs) towards autonomous Agentic artificial intelligence (AI) necessitates a systemic overhaul across algorithms, infrastructure, and architectures. This paper presents a unified view of the “Agentic AI Infrastructure,” connecting research threads often studied in isolation. First, post-training algorithms are reviewed, contrasting traditional reinforcement learning...
30 April 2026
A Novel Phase-Aware Neural Network Framework for Fault Detection in Multiphase Processes via Feature Augmentation and Phase Discrimination
The dynamic nature of multiphase processes presents significant challenges to industrial fault detection. Most existing fault detection methods for multiphase processes, which have been developed to focus on creating a local fault detector for each phase, are hindered by two key challenges. Firstly, accurately matching test samples to their respective...
30 April 2026
Bounded Control Gain Based Prescribed-Time Consensus of General Linear Multi-Agent Systems With Controllable Agent Dynamics
In this paper, the bounded control gain based pre-scribed-time (pre-T) consensus problem for general linear multi-agent systems (MASs) with controllable agent dynamics is addressed. First, an observer with Pre-T performance is designed for each agent to estimate the leader's state within a prescribed time. Then, based on the estimated states,...

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