Observer-Based Adaptive Neural Network Control for Nonstrict-Feedback Nonlinear Systems With Time Delays

LIU Xiang; TONG Dongbing; CHEN Qiaoyu

doi:10.21656/1000-0887.410325

Volume 42 Issue 6

Jun. 2021

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LIU Xiang, TONG Dongbing, CHEN Qiaoyu. Observer-Based Adaptive Neural Network Control for Nonstrict-Feedback Nonlinear Systems With Time Delays[J]. Applied Mathematics and Mechanics, 2021, 42(6): 586-594. doi: 10.21656/1000-0887.410325

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Observer-Based Adaptive Neural Network Control for Nonstrict-Feedback Nonlinear Systems With Time Delays

doi: 10.21656/1000-0887.410325

1. School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, P.R.China;
2. School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai 201620, P.R.China

Funds:

The National Natural Science Foundation of China(61673257)

Received Date: 2020-10-23
Rev Recd Date: 2020-12-04

Abstract

Abstract

An observer-based adaptive neural network control problem was investigated for a class of nonstrict-feedback nonlinear systems with time delays. A state observer was constructed to estimate unknown variables in nonlinear systems. With the approximation ability of RBF NNs and the backstepping technique, an adaptive neural network output feedback control approach was proposed. The designed controller ensures the semi-global uniform boundedness of all signals in the closed-loop system. Finally, the simulation example shows the effectiveness of the proposed control approach.
- neural network,
- observer,
- nonstrict feedback,
- adaptive control

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References(17)

References

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