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State Estimation for Partially Unknown Nonlinear Systems: A Class of Integral High Gain Observers
IEE Proceedings.- Control Theory and Applications (2003)
  • Ricardo Aguilar-López
  • Rafael Martínez-Guerra
  • Rafael Maya-Yescas
Abstract

This paper deals with the classical problem of state estimation, considering a class of partially unknown nonlinear systems. The proposed observer contains only an Integral-type contribution of the measurement error, which provides robustness against noisy measurements and uncertainties. Estimation of system state variables and the uncertain term are done simultaneously. A converge analysis of the proposed estimation methodology is realized. The estimation scheme is applied to a continuous stirred biochemical reactor; numerical experiments illustrate good observer performance.

Keywords
  • Biochemical reactor,
  • Integral observer,
  • robust performance,
  • State estimation,
  • Uncertainty estimation
Disciplines
Publication Date
2003
Citation Information
Ricardo Aguilar-López, Rafael Martínez-Guerra and Rafael Maya-Yescas. "State Estimation for Partially Unknown Nonlinear Systems: A Class of Integral High Gain Observers" IEE Proceedings.- Control Theory and Applications Vol. 150 Iss. 3 (2003)
Available at: http://works.bepress.com/ricardo_aguilar_lopez/10/