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Data · dataset · 2026

Simulation Dataset of a Minimum-Energy Output Feedback Controller with Exponential Convergence

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This dataset is a simulation dataset for control theory validation, used to verify the effectiveness of the proposed minimum-energy output feedback control algorithm with a prescribed exponential convergence rate.

Description

All data were generated on a personal computer with an Intel Core i7-13700H processor and 16 GB of RAM, using MATLAB R2024a. The system differential equations were solved numerically by methods such as the Euler method.The dataset contains 18 MATLAB binary data files (.mat format), corresponding to simulation files for the proposed algorithm applied to a second-order linear system, comparison algorithm systems, and an engineering application modeling system.

Each file stores time-series data such as system state variables, control inputs, and estimation errors over the simulation time. All physical quantities are expressed in the International System of Units (SI).This dataset was generated purely by numerical simulation, and there is no missing data. Data errors primarily arise from numerical truncation errors, with the maximum relative error of the system state variables being less than 1e-6, satisfying the accuracy requirements for simulation-based verification in control theory.

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All data files can be read directly using MATLAB R2020b or later versions.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Chemical engineering 72% · Simulation 75%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.3853610 d agoJSON v1
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