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

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Articles

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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),...
08 July 2026
Composite Fault-Tolerant Control of Interconnected Systems Subject to Heterogeneous Time-Varying Faults and Stochastic FDI Attacks
This study addresses distributed multivariate estimation and fault-tolerant control (FTC) for interconnected systems (ISs) subject to sensor and process/actuator faults under stochastic false data injection (FDI) attacks at interconnection nodes. A more general scenario is considered in which heterogeneous time-varying faults coexist in both sensor and process/actuator channels. A novel...
01 July 2026
Dual-Critic Network-Based ADP Control for Flexible Flapping-Wing UAVs With Time-Varying Constraints
Bio-inspired flapping-wing uncrewed aerial vehicles (UAVs) have shown great potential in various applications, but their flight performance is often degraded by uncertain environments, structural vibrations, and inherent nonlinearities. To address these challenges, this article proposes a dual-critic-network-based adaptive dynamic programming (ADP) control strategy that achieves simultaneous vibration suppression and trajectory...
01 July 2026
FaultGPT: Industrial Fault Diagnosis Question Answering System by Vision-Language Models
The application of single-modality large language models (LLMs) as tuning predictors on mechanical vibration signals has opened new avenues in intelligent fault diagnosis (FD). However, the potential of these methods to leverage multimodal data remains underexploited, particularly in complex mechanical systems where a single data source often fails to capture...
08 May 2026
Robust Data-Driven Model Predictive Control With Soft Constrained Strategy
A robust data-driven model predictive control (RDD-MPC) with a soft constrained strategy is proposed in this article. This method is designed to address model predictive control (MPC) constraint violations caused by external disturbances and outliers arising from measurement errors. First, a robust data-driven prediction model is constructed using kernel functions,...

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