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   Articles with "optimization control" as a keyword



Quantum evolutionary algorithm based power optimization control strategy for China initiative accelerator driven subcritical system

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recommendations! Published in 2022 at "Annals of Nuclear Energy"

DOI: 10.1016/j.anucene.2021.108678

Abstract: Abstract The power optimization control strategy for China initiative Accelerator Driven subcritical System (CiADS), which focuses on the study of dynamic features and the stable operation of coupling nuclear system, is one of the most… read more here.

Keywords: system; control; power; optimization control ... See more keywords

Optimization Control Method for Low-Voltage DC Microgrid with Low Carbon, Economy, and Reliability

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recommendations! Published in 2024 at "ACS Omega"

DOI: 10.1021/acsomega.4c09671

Abstract: From the perspectives of economy, low carbon, and safety in DC microgrids, a multiscenario optimization control method of low-voltage DC microgrids based on the nondominant sorting arctic puffin optimization algorithm (NSAPOA) is proposed in this… read more here.

Keywords: low voltage; low carbon; optimization; optimization control ... See more keywords

Tunable, Flexible, and Efficient Optimization of Control Pulses for Practical Qubits.

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recommendations! Published in 2018 at "Physical review letters"

DOI: 10.1103/physrevlett.120.150401

Abstract: Quantum computation places very stringent demands on gate fidelities, and experimental implementations require both the controls and the resultant dynamics to conform to hardware-specific constraints. Superconducting qubits present the additional requirement that pulses must have… read more here.

Keywords: flexible efficient; control; efficient optimization; optimization control ... See more keywords
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An Intelligent Optimization Control Method for Enterprise Cost Under Blockchain Environment

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3235481

Abstract: This paper uses blockchain technology to conduct in-depth research and analysis on enterprise cost optimization control. Based on the analysis of the cost control status in enterprises, the concept of target cost optimization control and… read more here.

Keywords: enterprise cost; cost; control; optimization control ... See more keywords

Online Optimization Control With Predictive Gradient Descent for MEMS Micro-Mirrors

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recommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"

DOI: 10.1109/tie.2021.3097598

Abstract: In this article, an online optimization control scheme is proposed for the angle control of MEMS scanning micromirror actuated via electromagnetic method. In order to avoid complicated process of building precise model of the MEMS… read more here.

Keywords: online optimization; predictive gradient; optimization; optimization control ... See more keywords

An Improved Dynamic Optimization Control System for the Drilling Rate of Penetration (ROP) and Its Industrial Application

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recommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"

DOI: 10.1109/tie.2022.3199916

Abstract: Optimization control of the rate of penetration (ROP) is crucial in the drilling process, due to its vital role in improving the drilling efficiency and safety. In this article, an improved dynamic optimization control system… read more here.

Keywords: rop; system; optimization control; industrial application ... See more keywords

A Disturbance-Estimation-Based Robust Optimization Control for Nonlinear Systems With Application to Wastewater Treatment Process

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recommendations! Published in 2024 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2024.3396514

Abstract: The optimization control of nonlinear systems is crucial to improve system performance. However, uncertain disturbances of cost functions and system states make it difficult to solve optimal set points and realize stability control. For this… read more here.

Keywords: optimization control; process; control; disturbance ... See more keywords

Adaptive Fault-Tolerant Cooperative Optimization Control for PMSM Servo System With Input Saturation and Multisource Disturbances

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recommendations! Published in 2025 at "IEEE Transactions on Power Electronics"

DOI: 10.1109/tpel.2024.3516047

Abstract: This article proposes an adaptive fault-tolerant cooperative optimization control strategy for permanent magnet synchronous motor (PMSM) servo system with actuator faults, input saturation, and unknown disturbances. The fault adaptive law and adaptive saturation compensation mechanism… read more here.

Keywords: system; optimization control; control; input saturation ... See more keywords

Discrete-Time Distributed Population Dynamics for Optimization and Control

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recommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"

DOI: 10.1109/tsmc.2022.3151042

Abstract: Distributed population dynamics offer a game-theoretical framework for distributed decision making. As such, the application of these methods to the control of networked systems has been widely studied in the literature. The theoretical analyses available… read more here.

Keywords: time; discrete time; distributed population; population dynamics ... See more keywords
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Intelligent Injection Molding on Sensing, Optimization, and Control

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recommendations! Published in 2020 at "Advances in Polymer Technology"

DOI: 10.1155/2020/7023616

Abstract: Injection molding is one of the most significant material processing methods for mass production of plastic products. It is widely used in various industry sectors, and its products are ubiquitous in our daily life. The… read more here.

Keywords: optimization control; sensing optimization; injection molding; injection ... See more keywords

Batch-to-Batch Optimization Control of Fed-Batch Fermentation Process Based on Recursively Updated Extreme Learning Machine Models

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recommendations! Published in 2025 at "Algorithms"

DOI: 10.3390/a18020087

Abstract: This paper presents a new method of batch-to-batch optimization control for a fed-batch fermentation process. A recursively updated extreme learning machine (ELM) neural network model is used to model a fed-batch fermentation process. ELM models… read more here.

Keywords: process; model; batch; optimization control ... See more keywords