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Non-Linear Systems Inc mimo non- linear systems
Mimo Non Linear Systems, supplied by Non-Linear Systems Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/mimo+non-+linear+systems/mimo+non++linear+systems/pm40514276-270-12-13
Average 90 stars, based on 1 article reviews
mimo non- linear systems - by Bioz Stars, 2026-09
90/100 stars

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Article Title: Adaptive integral dynamic surface control based on fully tuned radial basis function neural network
Article Snippet: An adaptive integral dynamic surface control approach based on fully tuned radial basis function neural network (FTRBFNN) is presented for a general class of strict-feedback nonlinear systems, which may possess a wide class of uncertainties that are not linearly parameterized and do not have any prior knowledge of the bounding functions.. FTRBFNN is employed to approximate the uncertainty online, and a systematic framework for adaptive controller design is given by dynamic surface control.. The control algorithm has two outstanding features, namely, the neural network regulates the weights, width and center of Gaussian function simultaneously, which ensures the control system has perfect ability of restraining different unknown uncertainties and the integral term of tracking error introduced in the control law can eliminate the static error of the closed loop system effectively.

Article Title: Adaptive PI nonlinear cooperative control for motor cluster.
Article Snippet: Contents lists available at ScienceDirect ISA Transactions journal homepage: www.elsevier.com/locate/isatra Research article Adaptive PI nonlinear cooperative control for motor cluster Yiting Chen, Yushen Wu, Kairui Chen ∗ iD , Jianhui Wang, Zian Wang School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, 510006, Guangdong, China H I G H L I G H T S ∙ An adaptive PI nonlinear control method is proposed to track the given expected value of the system.. ∙ The neural network is used to adjust the adaptive parameters of the actual permanent magnet synchronous motor control system.. ∙ The loop coupling strategy is adopted to effectively maintain the stability of PMSMs group cooperative control system.



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