IEEE SMC: Systems, Man, & Cybernetics Society

Transactions on SMC: Systems

Scope

The scope of the IEEE Transactions on Systems, Man, and Cybernetics: Systems includes the field of systems engineering. It also includes issue formulation, analysis and modeling, decision making, and issue interpretation for any of the systems engineering lifecycle phases associated with the definition, development, and deployment of large systems. Other topics include systems management, systems engineering processes, and a variety of systems engineering methods such as optimization, modeling and simulation.

IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans was renamed IEEE Transactions on Systems, Man, and Cybernetics: Systems on January 1, 2013.

Posting Preprints to Non-IEEE Servers

Authors should disclose postings on approved preprint services when submitting papers to SMCS Journals.

Consult relevant sections posted here.

The following statement must be included on the initial screen of the preprint site:

“This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.”

Upon acceptance of the article by IEEE, the preprint article must be replaced with the accepted version, as described in the section “Accepted article.”

Editor-in-Chief

Huijun Gao

Editor-In-Chief
Harbin Institute of Technology
Research Institute of Intelligent Control and Systems
Harbin, 150001, China

Email the EiC
REQUEST TO UPDATE CONTENT BOOKMARK PAGE

Articles

SUBMIT MANUSCRIPT
CURRENT ISSUE
PAST ISSUES

19 August 2026
Fixed-Time Fault-Tolerant Control of Saturated Spacecraft With Full-State Prescribed Performance
This article proposes a fixed-time fault-tolerant control (FTFTC) method for attitude tracking of rigid spacecraft subject to actuator faults, input saturation, and asymmetric full-state prescribed performance (AFSPP) constraints. First, a fixed-time sliding-mode disturbance observer (SMDO) with dynamic gains is developed to estimate the lumped perturbations in the spacecraft attitude dynamics....
14 August 2026
Enhancing Autonomous Driving With Physics-Informed and Human-Guided Reinforcement Learning
Achieving safe, efficient, and human-like autonomous driving (AD) in complex real-world environments remains a critical challenge. To address the limitations of conventional AD learning paradigms that struggle with imperfect human demonstrations and insufficient safety guarantees, this article proposes a novel physics-informed and human-guided reinforcement learning (PI-HGRL) for AD, combining the...
11 August 2026
State-of-Charge Estimation of LiFePO4 Batteries With Asymmetric Hysteresis Modeling
Robust state-of-charge (SOC) estimation for LiFePO4 batteries depends critically on the accurate modeling of open-circuit voltage (OCV) hysteresis. However, the existing models fail to adequately capture the coupled effects of asymmetric hysteresis and temperature variations, leading to suboptimal model fidelity and unreliable SOC estimation. To address these issues, we propose...
28 July 2026
Adaptive Reinforcement Learning Control With Prescribed-Performance Tracking Control for Uncertain Hydraulic Manipulators
Achieving precise position control for hydraulically powered heavy-duty manipulators with strong nonlinearity of their multijoint coupling is a challenging task. In this article, a novel reinforcement-learning-based prescribed-performance controller is proposed that leverages the robust integral of the sign of the error (RISE) technique and a potential performance function (PPF). First,...
14 July 2026
AoI- and Energy-Efficient Multi-UAV Coordination via Hierarchical Deep Reinforcement Learning
Uncrewed aerial vehicles (UAVs) are increasingly used in Internet of Things (IoT) applications that require timely information acquisition, such as environmental surveillance, wildfire detection, and emergency response. Although multi-UAV systems provide improved coverage and flexibility, efficiently coordinating multiple UAVs to maintain information freshness, measured by the age of information (AoI),...

See more at IEEE Xplore