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Singularity-Free Neural Control for the Exponential Trajectory Tracking in Multiple-Input Uncertain Systems with Unknown Deadzone Nonlinearities
Joint Authors
Pérez-Cruz, J. Humberto
Rubio, José de Jesús
Encinas, Rodrigo
Balcazar, Ricardo
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The trajectory tracking for a class of uncertain nonlinear systems in which the number of possible states is equal to the number of inputs and each input is preceded by an unknown symmetric deadzone is considered.
The unknown dynamics is identified by means of a continuous time recurrent neural network in which the control singularity is conveniently avoided by guaranteeing the invertibility of the coupling matrix.
Given this neural network-based mathematical model of the uncertain system, a singularity-free feedback linearization control law is developed in order to compel the system state to follow a reference trajectory.
By means of Lyapunov-like analysis, the exponential convergence of the tracking error to a bounded zone can be proven.
Likewise, the boundedness of all closed-loop signals can be guaranteed.
American Psychological Association (APA)
Pérez-Cruz, J. Humberto& Rubio, José de Jesús& Encinas, Rodrigo& Balcazar, Ricardo. 2014. Singularity-Free Neural Control for the Exponential Trajectory Tracking in Multiple-Input Uncertain Systems with Unknown Deadzone Nonlinearities. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1051730
Modern Language Association (MLA)
Pérez-Cruz, J. Humberto…[et al.]. Singularity-Free Neural Control for the Exponential Trajectory Tracking in Multiple-Input Uncertain Systems with Unknown Deadzone Nonlinearities. The Scientific World Journal No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1051730
American Medical Association (AMA)
Pérez-Cruz, J. Humberto& Rubio, José de Jesús& Encinas, Rodrigo& Balcazar, Ricardo. Singularity-Free Neural Control for the Exponential Trajectory Tracking in Multiple-Input Uncertain Systems with Unknown Deadzone Nonlinearities. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1051730
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051730