Adaptive Neural Controller Design Scheme of Nonlinear Delayed Systems With Completely Unknown Nonlinearities and Non-Strict-Feedback Structure

作者：Jiang, Kun; Niu, Ben^*; Li, Jun-Qing; Duan, Peiyong; Wang, Jihua; Yang, Dong

来源：IEEE Access, 2018, 6: 66418-66427.

DOI：10.1109/ACCESS.2018.2877798

• Nonlinear delayed systems
• non-strict-feedback structure
• neural networks
• adaptive intelligent control
• backstepping

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.

• 出版日期2018
• 单位山东师范大学; 聊城大学; 曲阜师范大学