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 August 2026
Event-Triggered-Based Adaptive Practical Fixed-Time Tracking Control for Uncertain Nonlinear Systems With Unmeasurable States
In this paper, the problem of adaptive event-triggered (ET) fixed-time tracking control (FTTC) for a class of uncertain nonlinear systems (NSs) with partially unmeasurable states is investigated. An observer and a set of radial basis function neural networks (RBFNNs) are introduced to reconstruct the unmeasurable states and to approximate the...
03 August 2026
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03 August 2026
Inside front cover
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03 August 2026
Fixed-Time Fault-Tolerant Control for Small UUV With Dual-Layer Evolving Performance Boundary Under Full-State Constraints
This letter investigates the fixed-time fault-tolerant control (FTC) problem for small unmanned underwater vehicles (UUVs) subject to the full-state error constraints involving position-layer and velocity-layer. First, a dual-level evolving performance boundary is devised by integrating the fixed-time performance functions and low-complexity error transformation techniques. This novel formulation converts the full-state...
03 August 2026
Robust Tracking Control of Automated Vehicles With Model Uncertainties: An Actor-Critic Learning Strategy
This letter is concerned with the robust tracking control problem of automated vehicles (AVs). First, the dynamics of an AV is constructed by taking into account model uncertainties. Then, to guarantee the successful completion of tracking tasks, an actor-critic learning-based robust tracking control scheme is designed. At last, formal stability...
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03 July 2026
LL-Refiner: Learning Adaptive Refinement for Ultra-High-Definition Low-Light Image Enhancement
Low-light image enhancement aims to address various degradations in low-light conditions, such as low illumination, noise pollution, color distortion, and missing scene content. With advances in digital imaging technology, the resolution of captured images has seen substantial improvements. This poses new challenges in achieving good enhancement performance for multi-scale details...
03 July 2026
Fixed-Time and Predefined-Time Synchronization of Inertial Memristive Neural Networks with Proportional Delay and Mismatched Switching Jumps via Stochastic Particle Swarm Optimization
This paper studies the fixed-time synchronization (FxTS) and predefined-time synchronization (PTS) of a class of inertial memristive neural networks (IMNNs), which have unbounded proportional delay independent of time linearity and mismatched switching jump coefficients. Based on Filippov solution theory and Lyapunov methods, this work develops an enhanced FxTS criterion delivering...
03 July 2026
High-Order Interaction and Low-Order Parallelization of Features Fusion with Novel Mamba-UNet Architecture for Medical Image Segmentation
Medical image segmentation is an essential method for computer-aided diagnosis. Although image segmentation models based on convolutional neural networks (CNNs) and vision transformers (ViTs) have achieved significant advancements, CNNs struggle to effectively capture long-range dependencies, while ViTs face limitations in local information extraction and are hindered by quadratic computational complexity....
03 July 2026
OpenClaw in the Wild: Security Analysis of Autonomous Agents
Autonomous self-hosted AI agent platforms are rapidly evolving from prompt-response assistants into persistent systems that can maintain long-lived state, invoke tools, ingest external content, and execute environment-changing actions. While this transition enables practical automation, it also introduces lifecycle security risks that cannot be fully explained by prompt-level analysis alone. In...
03 July 2026
Bumpless Transfer Filtering for Continuous-Time Switched Systems with Admissible Dual-Modal Persistent Dwell-Time
This paper investigates the issue of bumpless transfer $boldsymbol{H}_{infty}$ filtering for a class of continuous-time switched linear systems. A new definition on admissible dual-modal persistent dwell-time (ADM-PDT) switching is presented, which is more general than the existing mode-dependent or admissible edge-dependent persistent dwell-time switching. To match the ADM-PDT switching, the...

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