Output-feedback based model following nonlinear adaptive control using neural netwok
- Resource Type
- Conference
- Authors
- Lee, Dohyeon; Ha, Cheolkeun; Choi, Hyoung Sik
- Source
- 2012 7th International Forum on Strategic Technology (IFOST) Strategic Technology (IFOST), 2012 7th International Forum on. :1-4 Sep, 2012
- Subject
- Components, Circuits, Devices and Systems
Communication, Networking and Broadcast Technologies
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
General Topics for Engineers
Neural networks
Observers
Adaptive control
Mathematical model
Adaptation models
Output feedback
Nonlinear systems
Adaptive Control
State Observer
Single Hidden Layer Neural Network
- Language
This paper deals with an adaptive control problem based on output-feedback. The objective of this problem is that the output of nonlinear system using this adaptive control technique should follow a given command, which is continuous and differentiable in time. In this approach, relative degree of the output is assumed to be known. This approach introduces error state observer and single hidden layer neural network to the adaptive control structure. The update law of the neural network weights is obtained from ultimate boundedness of error signal through the direct method of Lyapunov stability. This technique is applied to an example of ‘Van der pol’ problem to demonstrate effectiveness of this technique.