Partial-State-Constrained Adaptive Intelligent Tracking Control of Nonlinear Nonstrict-Feedback Systems with Unmodeled Dynamics and Its Application
Joint Authors
Yang, Dong
Zhao, Yuzhuo
Niu, Ben
Jiang, Xiaoli
Zhao, Ping
Wang, Huanqing
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-31
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
In this paper, an adaptive intelligent control scheme is presented to investigate the problem of adaptive tracking control for a class of nonstrict-feedback nonlinear systems with constrained states and unmodeled dynamics.
By approximating the unknown nonlinear uncertainties, utilizing Barrier Lyapunov functions (BLFs), and designing a dynamic signal to deal with the constrained states and the unmodeled dynamics, respectively, an adaptive neural network (NN) controller is developed in the frame of the backstepping design.
In order to simplify the design process, the nonstrict-feedback form is treated by using the special properties of Gaussian functions.
The proposed adaptive control scheme ensures that all variables involved in the closed-loop system are bounded, the corresponding state constraints are not violated.
Meanwhile, the tracking error converges to a small neighborhood of the origin.
In the end, the proposed intelligent design algorithm is applied to one-link manipulator to demonstrate the effectiveness of the obtained method.
American Psychological Association (APA)
Zhao, Yuzhuo& Niu, Ben& Jiang, Xiaoli& Zhao, Ping& Wang, Huanqing& Yang, Dong. 2020. Partial-State-Constrained Adaptive Intelligent Tracking Control of Nonlinear Nonstrict-Feedback Systems with Unmodeled Dynamics and Its Application. Complexity،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1144769
Modern Language Association (MLA)
Zhao, Yuzhuo…[et al.]. Partial-State-Constrained Adaptive Intelligent Tracking Control of Nonlinear Nonstrict-Feedback Systems with Unmodeled Dynamics and Its Application. Complexity No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1144769
American Medical Association (AMA)
Zhao, Yuzhuo& Niu, Ben& Jiang, Xiaoli& Zhao, Ping& Wang, Huanqing& Yang, Dong. Partial-State-Constrained Adaptive Intelligent Tracking Control of Nonlinear Nonstrict-Feedback Systems with Unmodeled Dynamics and Its Application. Complexity. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1144769
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1144769