Semnan University Press Journal of Modeling in Engineering 2008-4854 23 Special Issue 81 2025 06 22 Introducing a New Approach for Holder Design and Accuracy Improvement with Intelligent Method for Use in Digital Control Introducing a New Approach for Holder Design and Accuracy Improvement with Intelligent Method for Use in Digital Control 65 76 9604 10.22075/jme.2024.30448.2439 FA Mahdi Shakeri Department of Electrical Engineering, University of Zanjan, Zanjan, Iran Mehrdad Babazadeh Department of Electrical Engineering, University of Zanjan, Zanjan, Iran Journal Article 2023 04 24 This article introduces a Fractional-Order Hold (FROH) that has less error in reconstructing a signal from its samples compared to other traditional holders. In fractional-order holds, a constant coefficient smaller than one is optimally adjusted. In fact, the Zero-Order Hold (ZOH) and First-Order Hold (FOH) are special cases of fractional-order holds with coefficients of zero and one, respectively. This paper presents a method for determining this coefficient, which is fixed and adjusted. The error resulting from this new holder in reconstructing the original signal is then compared to that of the first-order hold. To reduce the hold's error, an approach based on least mean square error is considered. This method uses the signal's behavior history to reconstruct future samples. Specifically, an intelligent holder predicts the next samples of the signal using Artificial Neural Networks (ANNs). Investigations into the delay caused by this adaptive intelligent holder show that it will not cause any instability in the closed-loop control system. Additionally, a new approach is introduced to adaptively predict the signal's behavior using its history. This article introduces a Fractional-Order Hold (FROH) that has less error in reconstructing a signal from its samples compared to other traditional holders. In fractional-order holds, a constant coefficient smaller than one is optimally adjusted. In fact, the Zero-Order Hold (ZOH) and First-Order Hold (FOH) are special cases of fractional-order holds with coefficients of zero and one, respectively. This paper presents a method for determining this coefficient, which is fixed and adjusted. The error resulting from this new holder in reconstructing the original signal is then compared to that of the first-order hold. To reduce the hold's error, an approach based on least mean square error is considered. This method uses the signal's behavior history to reconstruct future samples. Specifically, an intelligent holder predicts the next samples of the signal using Artificial Neural Networks (ANNs). Investigations into the delay caused by this adaptive intelligent holder show that it will not cause any instability in the closed-loop control system. Additionally, a new approach is introduced to adaptively predict the signal's behavior using its history. https://modelling.semnan.ac.ir/article_9604_e4309d821d0a9e6c422aa0f7fe21b60b.pdf