Results 201 to 210 of about 308,743 (257)

Internet of Things-Based Energy Consumption-Aware Framework Design for Smart Grid Environment. [PDF]

Sensors (Basel)
Çolak MA, Bayılmış C.
europepmc   +1 more source

Network-Guided Identification of Plant-Derived Modulators of Stress-Adaptive Signalling in Neuroblastoma. [PDF]

Int J Mol Sci
Motshudi MC, Naidoo CM, Obi CL, Iweriebor BC, Prinsloo E, Zubair MS, Mkolo NM.   +6 more
europepmc   +1 more source

A ROS-responsive "one-two punch" nanozyme for self-supplying oxygen and suppressing immune rejection in heart transplantation. [PDF]

Mater Today Bio
Yang Z, Zhang S, Ma W, Zhang H, Yang S, Sun X, Zhu M, Wang C, Wang Y.   +8 more
europepmc   +1 more source

Adaptive Sliding Mode Control for PMSM Drives with High-Order Disturbance Compensation. [PDF]

Sensors (Basel)
Ji B, Mu X, Kong L, Yang M.
europepmc   +1 more source

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Event-Triggered Model-Free Adaptive Control

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
This paper investigates an event-triggered model-free adaptive control for nonaffined nonlinear systems under a data-driven design framework. By introducing a compact form dynamic linearization (CFDL) scheme, a linear data model of the nonlinear nonaffine system is derived.
Na Lin 0002, Ronghu Chi, Biao Huang 0001
openaire   +3 more sources

Cooperative Adaptive Model-Free Control With Model-Free Estimation and Online Gain Tuning

IEEE Transactions on Cybernetics, 2022
In this article, a distributed adaptive model-free control algorithm is proposed for consensus and formation-tracking problems in a network of agents with completely unknown nonlinear dynamic systems. The specification of the communication graph in the network is incorporated in the adaptive laws for estimation of the unknown linear and nonlinear terms,
Ali Safaei
openaire   +4 more sources

Model free adaptive control with data dropouts

Expert Systems with Applications, 2011
Zhongsheng Hou, Xuhui Bu
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An Improved Model Free Adaptive Control Algorithm

2009 Fifth International Conference on Natural Computation, 2009
Generally the application of traditional adaptive control algorithm relies on the mathematic model of system. But mathematic models of some dynamic systems are difficult to establish. According to this actual problem and the existing structure of algorithm, an improved Model Free Adaptive control algorithm based on neural network is put forward in this
Aidong Xu, Yangbo Zheng, Yan Song, Mingzhe Liu   +3 more
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Flotation process with model free adaptive control

2017 IEEE International Conference on Information and Automation (ICIA), 2017
Flotation is a physical process to separate the useful mineral and gangue using the hydrophilicity or sparseness of the mineral itself or that from chemicals effects. Because of the non-linear, strong coupling, multivariate and time delay, it is hard to establish the quite accurate and effect model of flotation process, thus this paper proposes the ...
Wenqian Xue, Jialu Fan, Yi Jiang 0007
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The Application of Model Free Adaptive Control

The Proceedings of the Multiconference on "Computational Engineering in Systems Applications", 2006
In order to overcome the bad performance and deficiencies of main steam temperature control system, we combine Model Free Adaptive Control (MFAC) algorithm with conventional PID algorithm. This scheme incorporates the modeling and control together to form an integrated intelligent control mechanism.
Ping Ma, Wei Li, Guiwen Zheng, Yuguang Niu   +3 more
openaire   +1 more source