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

Robert Kozma, Editor-In-Chief
Robert Kozma

Editor-In-Chief
FedEx Institute of Technology
Department of Mathematics
University of Memphis
Memphis, TN 38152, USA

Articles

30 May 2024
This article presents a novel event and learning-based resilient formation control strategy for heterogeneous multiagent systems subjected to denial-of-service (DoS) attacks and uncertainties. It involves a decoupled cyber-layer and physical system layer design that enables a distributed and model-free approach. In the cyber-layer, the design is an event-triggered resilient observer...
16 April 2024
This study proposes a convex model-based reduced-order model (CMBROM) method for uncertain linear control systems, which ensures the accuracy of the reduced-order model with small samplings. Once the convex bounds of uncertainties are known, the coefficient matrices, input, and output in the uncertain state-space equation are quantified as convex model-based...
15 April 2024
This article focuses on prescribed-time control for nonlinear switched systems using event-triggered impulsive control. Taking into account different characteristic among each mode, two types of mode-dependent event-triggered mechanisms are presented with mode-dependent Lyapunov functions and tunable exponential parameters, which substantially reduce the update times of controller. It shows that, the...
11 April 2024
Evolutionary algorithms, such as differential evolution, excel in solving real-parameter optimization challenges. However, the effectiveness of a single algorithm varies across different problem instances, necessitating considerable efforts in algorithm selection or configuration. This article aims to address the limitation by leveraging the complementary strengths of a group of algorithms and...
09 April 2024
This article studies the modeling and tracking control problems for a class of towed unmanned fire fighting robots. Considering that no similar modeling results exist, we take the lead in building a novel system model that takes into consideration both system uncertainties and external disturbances, including unknown friction factors and...

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