Results 51 to 60 of about 165 (128)

Computationally efficient data‐driven model predictive control for modular multilevel converters

IET Electric Power Applications, Volume 18, Issue 12, Page 1844-1859, December 2024.
This paper presents a finite control set model predictive control (FCS‐MPC) that significantly reduces the computational complexity by obtaining a reduced order linear model for the MMC using sparse identification of non‐linear systems (SINDy). The SINDy model reduces the complexity of performing the prediction step by incorporating the input terms in ...
Muneeb Masood Raja, Haoran Wang, Muhammad Haseeb Arshad, Gregory J. Kish, Qing Zhao   +4 more
wiley   +1 more source

Model-Free Adaptive Control of pH Value of Wet Desulfurization Slurry under Switching of Multiple Working Conditions

Complexity, 2020
In limestone-gypsum wet flue gas desulfurization process, the change process of pH value of slurry in absorption tower is a typical nonlinear system with time delay and various uncertainties, so it is difficult to establish an accurate mathematical model
Jian Liu, Xiaoli Li, Jihan Li, Kang Wang, Fuqiang Wang, Guimei Cui   +5 more
doaj   +1 more source

Model-Free Adaptive Control-Based Electrical Stimulation Modulation System for Upper Limb Bi-Joint Function

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Functional Electrical Stimulation (FES) is a rehabilitation technique that helps restore or improve motor function by activating muscles through the distribution of electrical signals to nerves or muscles.
Xiaoyan Shen, Yujie Gu, Wenxue Feng, Huanqing Zhao, Yuqi Zhang, Wennian Shao, Zhen Wu, Yuhua Zhao, Xiongheng Bian   +8 more
doaj   +1 more source

PPMLM direct thrust force control based on iterative learning high‐order improved model free adaptive control

IET Renewable Power Generation, Volume 18, Issue 9-10, Page 1661-1674, 17 July 2024.
In this article, a data driven speed controller is designed for the primary permanent magnet linear motor control system, which is vulnerable to the influence of nonlinear factors such as parameter time‐varying, load disturbance, end effect and so on.
Xiuping Wang, Shunyu Yao, Chunyu Qu
wiley   +1 more source

Improved nonlinear model‐free adaptive iterative learning control in DoS attack environment

IET Control Theory &Applications, Volume 18, Issue 7, Page 825-833, April 2024.
By combining the characteristics of MFAC and ILC, we proposed the MFAILC algorithm for the system subject to DoS attacks. An innovative approach to PPD estimation by introducing AR model in the DoS attacks environment and a new compensation algorithm based on PID idea in the iterative domain is proposed. Abstract This paper investigates the design of a
Yanni Li, Xiuying Li
wiley   +1 more source

Designing of Adaptive Model-Free Controller Based on Output Error and Feedback Linearization

Abstract and Applied Analysis, 2013
This paper introduces a new approach to design Model-Free Adaptive Controller (MFAC) using adaptive fuzzy procedure as a feedback linearization based on output error.
S. Pezeshki, M. A. Badamchizadeh, S. Ghaemi, M. A. Poor   +3 more
doaj   +1 more source

Tracking control of ships based on ADRC−MFAC

Zhongguo Jianchuan Yanjiu
ObjectiveThis paper aims to investigate the complex influence of environmental disturbances on unmanned surface vehicles (USVs) under real ocean conditions, and control USVs to overcome disturbances and realize path following.
Shijie LI, Chengqi XU, Jialun LIU, Ziqian XU, Fanbin MENG   +4 more
doaj   +1 more source

Data-Driven Model-Free Adaptive Control Based on Error Minimized Regularized Online Sequential Extreme Learning Machine

Energies, 2019
Model-free adaptive control (MFAC) builds a virtual equivalent dynamic linearized model by using a dynamic linearization technique. The virtual equivalent dynamic linearized model contains some time-varying parameters, time-varying parameters usually ...
Xiaofei Zhang, Hongbin Ma
doaj   +1 more source

Decoupled Model-Free Adaptive Control with Prediction Features Experimentally Applied to a Three-Tank System Following Time-Varying Trajectories

Automation
In this paper, the performance of three model-free control approaches on a multi-input, multi-output (MIMO) nonlinear system with constant and time-varying references is compared. The first control algorithm is model-free adaptive control (MFAC).
Soheil Salighe, Nehal Trivedi, Fateme Bakhshande, Dirk Söffker   +3 more
doaj   +1 more source

Dual-Closed-Loop Control System for Polysilicon Reduction Furnace Power Supply Based on Hysteresis PID and Predictive Control

Energies
In the power system of a polysilicon reduction furnace, especially during the silicon rod growth process, the issue of insufficient temperature control accuracy arises due to the system’s nonlinear and time-varying characteristics.
Shihao Li, Tiejun Zeng, Shan Jian, Guiping Cui, Ziwen Che, Genghong Lin, Zeyu Yan   +6 more
doaj   +1 more source