Nonlinear Decoupling Control With PI λ D μ Neural Network for MIMO ...
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Dec 6, 2022 · The proposed fractional order PIDNN controller can eliminate the coupling between variables and achieve desirable control performance without specific system ...
A coupled recursive least squares algorithm for multivariable systems and its computational amount analysis by using the coupling identification concept.
Jun 7, 2024 · The proposed fractional order PIDNN controller can eliminate the coupling between variables and achieve desirable control performance without ...
Missing: PIλ | Show results with:PIλ
Abstract:In this article, an adaptive neural network (NN) tracking control scheme is proposed for uncertain multi-input-multi-output (MIMO) nonlinear system in ...
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1 day ago · Nonlinear Decoupling Control with PIλDμ Neural Network for MIMO Systems. IEEE Transactions on Neural Networks and Learning Systems, 2022 ...
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Jun 1, 2018 · A New "Model-Free" Method Combined with Neural Network for MIMO Systems · Engineering, Computer Science. ArXiv · 2020.
A disturbance observer (DOB) is designed to overcome strong disturbances on forced circulation evaporator control. · Fractional order PI λ D μ controllers (PI λ ...
Nov 12, 2024 · For a discrete-time nonlinear MIMO system, a multiple models neural network decoupling controller is designed in this paper.
Missing: PIλ Dμ
Oct 22, 2024 · The neural-network-based nonlinear adaptive decoupling controller is employed to improve the transient performance and mitigate effects of the ...
Ding, J., Wu, M., and Xiao, M. (2022). Nonlinear decoupling control with piλdμ neural network for mimo systems. IEEE Trans. Neural Netw. Learn. Syst., 1–8.