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Research of robust adaptive trajectory linearization control based on T-S fuzzy system

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3 Author(s)
Changsheng, Jiang ; College of Automation, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, P. R. China; National Key Laboratory of Fire Control Technology, Luoyang 471009, P. R. China ; Chunyu, Zhang ; Luinq, Zhu

A robust adaptive trajectory linearization control (RATLC) algorithm for a class of nonlinear systems with uncertainty and disturbance based on the T-S fuzzy system is presented. The unknown disturbance and uncertainty are estimated by the T-S fuzzy system, and a robust adaptive control law is designed by the Lyapunov theory. Irrespective of whether the dimensions of the system and the rules of the fuzzy system are large or small, there is only one parameter adjusting on line. Uniformly ultimately boundedness of all signals of the composite closed-loop system are proved by theory analysis. Finally, a numerical example is studied based on the proposed method. The simulation results demonstrate the effectiveness and robustness of the control scheme.

Published in:

Systems Engineering and Electronics, Journal of  (Volume:19 ,  Issue: 3 )