期刊文献+

Research of robust adaptive trajectory linearization control based on T-S fuzzy system 被引量:3

Research of robust adaptive trajectory linearization control based on T-S fuzzy system
下载PDF
导出
摘要 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. 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.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2008年第3期537-545,共9页 系统工程与电子技术(英文版)
基金 the National Natural Science Foundation of China (90716028 and 90405011).
关键词 nonlinear system trajectory linearization control robust adaptive control T-S fuzzy system. nonlinear system trajectory linearization control robust adaptive control T-S fuzzy system.
  • 相关文献

参考文献16

  • 1Chang Y O. A robust tracking control for chaotic Chua's circuits via fuzzy approach. IEEE Trans. on Circuits Syst. I, 2001, 48: 889-895.
  • 2Kim E, A Fuzzy disturbance observer and its application to control. IEEE Trans. on Fuzzy Syst., 2002, 10: 77-84.
  • 3Li H X, Tong S C. A hybrid adaptive fuzzy control for a class of nonlinear MIMO systems. IEEE Trans. on Fuzzy Syst., 11: 24-34.
  • 4Yang Y S. Direct robust adaptive fuzzy control (DRAFC) for uncertain nonlinear systems using small gain theorem. Fuzzy Sets and Systems, 2005, 151: 79-97.
  • 5Yang Y S, Zhou C J. Robust adaptive control of uncertain nonlinear systems using fuzzy logic systems. Proceedings of the IEEE International Symposium on Intelligent Control, Limassol, Cyprus, 2005: 47-52.
  • 6Yang Y S, Ren J S, Adaptive fuzzy robust tracking controller design via small gain approach and its application. IEEE Trans. on Fuzzy Syst., 2003, 11(6): 783-795.
  • 7Takagi T, Sugeno M, Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. on Syst. Man Cybern., 1985, 15: 116-132.
  • 8Liu Y, Wu X, Zhu J J. Omni-directional mobile robot controller design by trajectory linearization. Proceedings of the American Control, Denver, 2003: 3423-3428.
  • 9Zhu J J, Banker D, Hall C E. X-33 ascent flight control deign by trajectory linearization - a singular perturbation approach. AIAA-2000-4159.
  • 10Mickle M C, Zhu J J. Bank-to-turn roll-yaw-pitch autopilot design using dynamic nonlinear inversion and PD eigenvalue assignment. Proceedings of the American Control Conference, Chicago: IEEE, 2000: 1359-1364.

同被引文献22

引证文献3

二级引证文献17

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部