TY - GEN
T1 - Terminal sliding mode control of nonlinear chaotic systems using self-recurrent wavelet neural network
AU - Lee, Sin Ho
AU - Park, Jin Bae
AU - Choi, Yoon Ho
PY - 2007
Y1 - 2007
N2 - In this paper, we design a self-recurrent wavelet neural network (SRWNN) based terminal sliding mode controller for nonlinear chaotic systems with uncertainties. The nonlinear chaotic systems are decomposed into a sum of a nominal nonlinear part and uncertainty term. The terminal sliding mode control (TSMC) method which has been used to control the system robustly can drive the tracking errors to zero in a finite time. In addition, the TSMC has the advantages such as improved performance, robustness, reliability and precision by contrast with the classical sliding mode control (CSMC). For the control of nonlinear chaotic system with various uncertainties, we employ the SRWNN which is used for the prediction of uncertainties. The weights of SRWNN are trained by adaptive laws based on Lyapunov stability theorem. Finally, we carry out simulations on two nonlinear chaotic systems such as Duffing system and Lorenz system to illustrate the effectiveness of the proposed control.
AB - In this paper, we design a self-recurrent wavelet neural network (SRWNN) based terminal sliding mode controller for nonlinear chaotic systems with uncertainties. The nonlinear chaotic systems are decomposed into a sum of a nominal nonlinear part and uncertainty term. The terminal sliding mode control (TSMC) method which has been used to control the system robustly can drive the tracking errors to zero in a finite time. In addition, the TSMC has the advantages such as improved performance, robustness, reliability and precision by contrast with the classical sliding mode control (CSMC). For the control of nonlinear chaotic system with various uncertainties, we employ the SRWNN which is used for the prediction of uncertainties. The weights of SRWNN are trained by adaptive laws based on Lyapunov stability theorem. Finally, we carry out simulations on two nonlinear chaotic systems such as Duffing system and Lorenz system to illustrate the effectiveness of the proposed control.
UR - http://www.scopus.com/inward/record.url?scp=48349111445&partnerID=8YFLogxK
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U2 - 10.1109/ICCAS.2007.4406603
DO - 10.1109/ICCAS.2007.4406603
M3 - Conference contribution
AN - SCOPUS:48349111445
SN - 8995003871
SN - 9788995003879
T3 - ICCAS 2007 - International Conference on Control, Automation and Systems
SP - 1671
EP - 1676
BT - ICCAS 2007 - International Conference on Control, Automation and Systems
T2 - International Conference on Control, Automation and Systems, ICCAS 2007
Y2 - 17 October 2007 through 20 October 2007
ER -