Non-affine Nonlinear Systems

  • Shuzhi S. Ge
  • Chang C. Hang
  • Tong H. Lee
  • Tao Zhang
Chapter
Part of the The Springer International Series on Asian Studies in Computer and Information Science book series (ASIS, volume 13)

Abstract

In the last decade, there has been a large amount of activity in adaptive control of nonlinear systems using feedback linearization techniques ([104,128,165] and the references therein). The common assumptions in the literature are that the plant under study is affine, i.e., model is linear in the input variables and the nonlinearities are linearly parameterized by unknown parameters. However, many practical systems, e.g., chemical reactions and PH neutralization, are inherently nonlinear, whose input variables may not be expressed in an affine form.

Keywords

Tracking Error Continuously Stir Tank Reactor Output Feedback Control Coolant Flow Rate Adaptive Output Feedback 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Shuzhi S. Ge
    • 1
  • Chang C. Hang
    • 1
  • Tong H. Lee
    • 1
  • Tao Zhang
    • 1
  1. 1.Department of Electrical & Computer EngineeringThe National University of SingaporeSingapore

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