Results 11 to 20 of about 165 (128)

Improved multiverse optimizer‐based anti‐saturation model free adaptive control and its application to manipulator grasping systems

IET Control Theory & Applications
To address the stable grasping control issue in manipulator grasping systems, this manuscript proposes an improved multiverse optimizer‐based anti‐saturation model‐free adaptive control (IMVO‐AS‐MFAC) algorithm.
Shida Liu, Zhen Li, Jiancheng Li, Honghai Ji, Jingquan He   +4 more
doaj   +2 more sources

Heading Control of Unmanned Surface Vehicle With Variable Output Constraint Model-Free Adaptive Control Algorithm

IEEE Access, 2019
Based on model-free adaptive control (MFAC) theory, this paper presents a variable output constraint MFAC (VOC-MFAC) algorithm to enhance the robustness of an unmanned surface vehicle's (USV's) heading subsystem.
Quanquan Jiang, Yulei Liao, Ye Li, Jiajia Fan, Yugang Miao   +4 more
doaj   +1 more source

Data‐driven consistent control with data compensation for a class of unknown nonlinear multiagent systems with constraints

IET Control Theory &Applications, Volume 17, Issue 18, Page 2402-2418, December 2023., 2023
In the manuscript, a novel model‐free adaptive control algorithm with data compensation under constraint conditions (COM‐cMFAC) is introduced to solve the control multivehicle longitudinal cooperative formation. For the case of data packet loss, the manuscript designs a data compensation mechanism, which estimates and compensates the lost data through ...
Lipu Wu, Zhen Li, Shida Liu, Zhijun Li, Dehui Sun   +4 more
wiley   +1 more source

Optimal control method of grinding process basic circuit

Gong-kuang zidonghua, 2016
The paper took control of an important technological parameter namely hydrocyclone feeding concertration of grinding process basic circuit as study object, introduced fuzzy control according to bad parameter adaptivity of model-free adaptive control ...
ZHANG Yan, ZHANG Jia, DAI Yafei
doaj   +1 more source

Data-Driven Model-Free Adaptive Attitude Control Approach for Launch Vehicle With Virtual Reference Feedback Parameters Tuning Method

IEEE Access, 2019
Modeling a launch vehicle dynamics accurately is time-consuming since its dynamics is very complex with high nonlinearity, when considering the influence of load variation and other related factors.
Li Duan, Zhongsheng Hou, Xian Yu, Shangtai Jin, Kunfeng Lu   +4 more
doaj   +1 more source

Trajectory Tracking Control for Parafoil Systems Based on the Model-Free Adaptive Control Method

IEEE Access, 2020
Parafoil systems are unique steerable decelerator systems. However, due to the strong nonlinearity caused by the flexibility of the canopy and the suspension lines, the existing dynamic models of parafoil systems are not sufficiently accurate enough; and
Linggong Zhao, Weiliang He, Feikai Lv, Wang Xiaoguang   +3 more
doaj   +1 more source

Compact Model-Free Adaptive Control Algorithm for Discrete-Time Nonlinear Systems

IEEE Access, 2019
In model free adaptive control (MFAC), a virtual equivalent dynamic linearized model is built. The linearization length constants (LLCs) of the virtual equivalent dynamic linearized model are selected by the practitioner based on experience.
Xiaofei Zhang, Hongbin Ma, Xinghong Zhang, You Li   +3 more
doaj   +1 more source

Model‐free adaptive control for ultracapacitor based three‐phase interleaved bidirectional DC–DC converter

IET Power Electronics, 2023
The lack of an accurate mathematical model of non‐linear systems, such as bidirectional DC–DC converters, brings certain limits to design a formidable controller for such systems. This article proposes a model‐free adaptive control (MFAC) approach for an
Zhengyao Wang, Dan Wang, Zhouhua Peng, Lu Liu   +3 more
doaj   +1 more source

Data-Driven Model-Free Adaptive Control of Particle Quality in Drug Development Phase of Spray Fluidized-Bed Granulation Process

Complexity, 2017
A novel data-driven model-free adaptive control (DDMFAC) approach is first proposed by combining the advantages of model-free adaptive control (MFAC) and data-driven optimal iterative learning control (DDOILC), and then its stability and convergence ...
Zhengsong Wang, Dakuo He, Xu Zhu, Jiahuan Luo, Yu Liang, Xu Wang   +5 more
doaj   +1 more source

Waypoint-tracking Control of a Benthic AUV Based on Model-free Adaptive Control Method

水下无人系统学报, 2022
In this study, the model-free adaptive control(MFAC) method was applied to a waypoint-tracking control system to solve the problems of high uncertainty in the marine environment and difficulty in accurately determining the benthic autonomous undersea ...
Peng GAO, Lei WAN, Yu-fei XU, Guo-fang CHEN, Zi-yang ZHANG   +4 more
doaj   +1 more source