期刊文献+

Robust control of a class of non-affine nonlinear systems by state and output feedback 被引量:1

Robust control of a class of non-affine nonlinear systems by state and output feedback
下载PDF
导出
摘要 Robust control design is presented for a general class of uncertain non-affine nonlinear systems. The design employs feedback linearization, coupled with two high-gain observers: the first to estimate the feedback linearization error based on the full state information and the second to estimate the unmeasured states of the system when only the system output is available for feedback. All the signals in the closed loop are guaranteed to be uniformly ultimately bounded(UUB) and the output of the system is proven to converge to a small neighborhood of the origin. The proposed approach not only handles the difficulty in controlling non-affine nonlinear systems but also simplifies the stability analysis of the closed loop due to its linear control structure. Simulation results show the effectiveness of the approach. Robust control design is presented for a general class of uncertain non-affine nonlinear systems. The design employs feedback linearization, coupled with two high-gain observers: the first to estimate the feedback linearization error based on the full state information and the second to estimate the unmeasured states of the system when only the system output is available for feedback. All the signals in the closed loop are guaranteed to be uniformly ultimately bounded(UUB) and the output of the system is proven to converge to a small neighborhood of the origin. The proposed approach not only handles the difficulty in controlling non-affine nonlinear systems but also simplifies the stability analysis of the closed loop due to its linear control structure. Simulation results show the effectiveness of the approach.
作者 陈贞丰 章云
出处 《Journal of Central South University》 SCIE EI CAS 2014年第4期1322-1328,共7页 中南大学学报(英文版)
基金 Project(60974047)supported by the National Natural Science Foundation of China Project(S2012010008967)supported by the Natural Science Foundation of Guangdong Province,China Project supported by the Science Fund for Distinguished Young Scholars,China Project supported by 2011 Zhujiang New Star Fund,China Project(121061)supported by FOK Ying Tung Education Foundation of China Project supported by the Ministry of Education for New Century Excellent Talent,China Project(20124420130001)supported by the Doctoral Fund of Ministry of Education of China
关键词 仿射非线性系统 输出反馈 鲁棒控制 一致最终有界 控制设计 状态信息 反馈线性化 线性化误差 robust control non-affine nonlinear system uncertainty stability
  • 相关文献

参考文献16

  • 1ZHOU Hai-bo, YING Hao, DUAN Ji-an. Adaptive control using interval Type-2 fuzzy logic for uncertain nonlinear systems [J]. Journal of Central South University of Technology, 2011, 18: 760-766.
  • 2BELARBI K, CHEMACHEMA M. Stable direct adaptive neural network controller with a fuzzy estimator of the control error for a class of perturbed nonlinear systems [J]. lEE Proc Control Theory Applications, 2007, 1(5): 1398 1404.
  • 3PARK J H, KIM S H, MOOM C J. Adaptive neural control for strict-feedback nonlinear systems without baekstepping [J]. IEEE Transactions on Neural Networks, 2009, 20(7): 1204 1209.
  • 4GE S S, HANG C C, ZHANG T. Nonlinear adaptive control using neural networks and its application to CSTR systems [J]. Journal of Process Control, 1999, 9(4): 313-323.
  • 5HSU C T, CHEN S L. Nonlinear control of a 3-pole active magnetic bearing system [J]. Automatiea, 2003, 39: 291-298.
  • 6SHIRLIAEV A S, LUDVIGSEN H, EGELAND O, FRADKOV A L. Swinging up of non-affine in control pendulum [C]//Proc American Control Conf. San Diego, California, USA, 1999: 4039-4044.
  • 7GOH C J. Model reference control of nonlinear systems via implicit function emulation [J]. Int J Control, t994, 60:91-115.
  • 8GOH C J, LEE T H. Direct adaptive control of nonlinear systems via implicit function emulation [J]. Control Theory and Advance Technology, 1994, 10(3): 539-552.
  • 9CALISE A J, HOVAKIMYAN N, IDAN M. Adaptive output feedback control of nonlinear systems using neural networks [J]. Automatica, 2001, 37: 1201-1211.
  • 10HOVAKIMYAN N, NARDI F, CALISE A J. A novel error observer-based adaptive output feedback approach for control of uncertain systems [J]. IEEE Trans Automatic Control, 2002, 47(8): 1310-1314.

引证文献1

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