Adaptive control of linearizable discrete-time systems

Fu-Chuang Chen*, Wen Chung Tsao

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations


The adaptive control of feedback linearizable discrete-time systems is studied. The nonlinearities in the system are linear combinations of know nonlinear functions. Although the unknown parameters appear linearly, the convergence result obtained is not global. The maximum allowable parameter error depends on the system characteristics and on the initial system states. Simulations show that the system diverges when the initial parameter error is too large.

Original languageEnglish
Pages (from-to)880-881
Number of pages2
JournalProceedings of the American Control Conference
StatePublished - 29 Jun 1994
EventProceedings of the 1994 American Control Conference. Part 1 (of 3) - Baltimore, MD, USA
Duration: 29 Jun 19941 Jul 1994


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