제어로봇시스템학회:학술대회논문집
- 1995.10a
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- Pages.476-479
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- 1995
Adaptive identification of volterra kernel of nonlinear systems
- Yeping, Sun (Faculty of Engineering, Kumamoto University) ;
- Kashiwagi, Hiroshi (Faculty of Engineering, Kumamoto University)
- Published : 1995.10.01
Abstract
A real time and adaptive method for obtaining Volterra kernels of a nonlinear system by use of pseudorandom M-sequences and correlation technique is proposed. The Volterra kernels are calculated real time and the obtained Volterra kernels becomes more accurate as time goes on. The simulation results show the effectiveness of this method for identifying time-varying nonlinear system.