Paper Title:
Robust Adaptive Inverse Optimal Tracking for Strict-Feedback Stochastic Nonlinear System
  Abstract

For a class of strict-feedback nonlinear systems with unknown constant parameters, uncertainty in the input gains and standard Wiener-noise, combining the system function with the known reference signal, the error system is obtained. The adaptive inverse optimal controller and adaptive laws of parameters are designed using Backstepping algorithm, thus the robust adaptive inverse optimal tracking problem of original system is solved.

  Info
Periodical
Advanced Materials Research (Volumes 143-144)
Edited by
H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong
Pages
984-989
DOI
10.4028/www.scientific.net/AMR.143-144.984
Citation
L. Wang, "Robust Adaptive Inverse Optimal Tracking for Strict-Feedback Stochastic Nonlinear System", Advanced Materials Research, Vols. 143-144, pp. 984-989, 2011
Online since
October 2010
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