Abstract
The development of feedback linearization techniques provides a powerful tool for nonlinear system control.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer Science+Business Media New York
About this chapter
Cite this chapter
Ge, S.S., Hang, C.C., Lee, T.H., Zhang, T. (2002). SISO Nonlinear Systems. In: Stable Adaptive Neural Network Control. The Springer International Series on Asian Studies in Computer and Information Science, vol 13. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6577-9_4
Download citation
DOI: https://doi.org/10.1007/978-1-4757-6577-9_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4932-5
Online ISBN: 978-1-4757-6577-9
eBook Packages: Springer Book Archive