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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01 April 2026
Prescribed-Time Formation Control for Multi-Agent Systems with Uncertain Nonlinear Dynamics and Non-Vanishing Random Disturbances
This paper investigates the problem of prescribed-time formation control for multi-agent systems with directed communication topology, uncertain nonlinear dynamics, and non-vanishing random disturbances. To drive the formation error to zero within a prescribed time, a novel prescribed-time control lemma is developed. A distributed observer is designed to allow each follower...
01 April 2026
Flexible Federated Learning in Machinery Fault Diagnostics with Light Communication
While data-driven fault diagnosis methods have been successfully developed in the past years, large amounts of high-quality condition monitoring data are generally required to ensure model performance. Due to the high economic and labor costs in data collection, it is difficult for a single user to build an effective database,...
01 April 2026
Distributed Generalized Distributionally Robust Equilibrium Seeking for Dynamical Games Under Unknown Time-Varying Interference
This paper investigates a distributed generalized Nash equilibrium-seeking problem in stochastic dynamical systems, focusing on two key challenges: 1) nonlinear coupled constraints and nonlinear dynamics, and 2) nonconvex objectives influenced by disturbances with unknown time-varying distributions. To address these challenges, a distributionally robust game framework with an exact penalty is...
01 April 2026
Neurodynamic Optimization Approaches with Fixed-Time Convergence for Nash Equilibrium Seeking: Theory and Hardware Experiment
The convergence rate is one of the key performance measures for Nash equilibrium (NE) seeking strategies. In this work, we present several novel fast decoupled/coupled time-varying neurodynamic optimization approaches with fixed-time (FT) convergence to Nash equilibrium seeking in non-cooperative games. The dynamics trajectories are demonstrated to converge to the NE...
01 April 2026
Adaptive Multimodal Servoing Control for Unmanned Aerial Manipulator Perching
Dear Editor, This letter presents an adaptive control framework for unmanned aerial manipulator (UAM) perching, integrating image segmentation-based tracking with multimodal nonlinear model predictive control (NMPC). A hybrid control strategy with depth derivative prediction and pitch feedforward compensation effectively resolves control parameter conflicts between pole grasping and suction-based perching on...
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10 March 2026
Control-Communication Co-Optimization for Wireless Cloud Robotic System via Multi-Agent Transfer Reinforcement Learning
The wireless cloud robotic system (WCRS), which fully integrates sensing, communication, computing, and control capabilities as an intelligent agent, is a promising way to achieve intelligent manufacturing due to easy deployment and flexible expansion. However, the high-precision control of WCRS requires deterministic wireless communication, which is always challenging in the...
10 March 2026
A Systematic Review of Respiratory Monitoring and Assistance Techniques from a Pulmonary Rehabilitation Robot Perspective
Pulmonary rehabilitation (PR) aims to improve lung function in patients with chronic respiratory disease (CRD). In recent years, significant advancements have been made in pulmonary rehabilitation technologies, demonstrating their potential for enhancing lung function in patients with respiratory diseases. The purpose of this study is to outline recent developments in...
10 March 2026
Repetitive Control: Basic Concept, Fundamental Theory, and Practical Applications
As a closed-loop learning control method, repetitive control has been widely used in a variety of areas from appliances to aviation. A repetitive control system features perfect reference tracking and disturbance rejection in the steady state for periodic signals with a fixed period. This characteristic is important not only for...
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...

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