Model Based Adaptive Tracking Scheme For Unknown MIMO Bilinear Systems

Bilinear systems are attractive candidates for many dynamical processes, since they allow a significantly larger class of behaviour than linear systems, yet retain a rich theory which is closely related to the familiar theory of linear systems. A new technique for the control of unknown MIMO bilinea...

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Bibliographic Details
Main Author: Azhar, ASS (author)
Other Authors: AL-Sunni, Fouad (author), Shafiq, Muhammad (author), unknown (author)
Format: article
Published: 2020
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Online Access:https://eprints.kfupm.edu.sa/id/eprint/1960/1/u_model_based_adaptive_tracking_scheme_f_azhar_isip_000243884000298.pdf
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Summary:Bilinear systems are attractive candidates for many dynamical processes, since they allow a significantly larger class of behaviour than linear systems, yet retain a rich theory which is closely related to the familiar theory of linear systems. A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on Radial Basis Functions neural networks which is known for mapping any nonlinear function. U-Model is a control oriented model used to represent a wide range of non-linear discrete time dynamic plants. The proposed tracking scheme is presented and verified using simulation examples.