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

08 October 2024
This article addresses event-based adaptive control problems of a class of high-order nonlinear systems subject to unknown actuator failures. The number of failures and the specific failure modes are unknown. In order to save communication resources from the controller to the actuator, its event-trigger mechanism that ruled out Zeno phenomenon...
09 September 2024
This article presents an online reinforcement learning (RL) algorithm to learn the distributed optimal containment control solution for underactuated surface vehicles subject to modeling uncertainties and unknown ocean disturbances. First, the request of exact knowledge of vehicle system dynamics is avoided by constructing an adaptive neural network identifier. The unknown...
04 September 2024
This article develops an intermittent feedback optimal control scheme for nonlinear systems with asymmetric input saturation using a dynamic event-triggering mechanism. First, an infinite horizon nonquadratic value function with a novel integrand is formulated for the studied system to evaluate the performance, tackle the asymmetric input saturation, and remove certain...
27 August 2024
Multiobjective optimal control (MOC) optimize multiple performance indices of nonlinear systems to obtain setpoints, and design the controller to track the setpoints. However, if the feasibility of the controller is not considered, untraceable setpoints may be obtained. Furthermore, the performance of data-driven MOC may be degraded due to insufficient data....
31 July 2024
This article investigates a fully distributed inertial neurodynamic approach for sparse recovery. The approach is based on proximal operators and inertia items. It aims to solve the $L_{1}$ -norm minimization problem with consensus and linear observation constraints over directed communication networks. The proposed neurodynamic approach has the advantages of only...

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