Title | ||
---|---|---|
Adaptive Neural Controller Design Scheme of Nonlinear Delayed Systems With Completely Unknown Nonlinearities and Non-Strict-Feedback Structure. |
Abstract | ||
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This paper proposes a novel adaptive intelligent tracking controller design scheme for a type of nonlinear delayed systems with completely unknown nonlinearities and non-strict-feedback structure. In the backsteppping-based design architecture, the intelligent estimation technique is utilized to approximate the unknown nonlinear functions via neural networks, and Lyapunov-Krasovskii functionals are designed to deal with the unknown delay terms. The constructed adaptive intelligent controller guarantees the semi-global boundedness of the resulting closed-loop system and the system output eventually converges to a small neighborhood around the desired reference signal. In the end, the presented simulation results verify the effectiveness of the proposed design method. |
Year | DOI | Venue |
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2018 | 10.1109/ACCESS.2018.2877798 | IEEE ACCESS |
Keywords | Field | DocType |
Nonlinear delayed systems,non-strict-feedback structure,neural networks,adaptive intelligent control,backstepping | Control theory,Backstepping,Nonlinear system,Adaptive system,Computer science,Controller design,Control theory,Design methods,Neural network controller,Artificial neural network,Distributed computing | Journal |
Volume | ISSN | Citations |
6 | 2169-3536 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kun Jiang | 1 | 0 | 1.35 |
Ben Niu | 2 | 478 | 29.91 |
Junqing Li | 3 | 462 | 42.69 |
Pei-Yong Duan | 4 | 1 | 1.02 |
Jihua Wang | 5 | 191 | 53.78 |
Dong Yang | 6 | 116 | 18.09 |