 |
|
|
|
|
 |
|
|
Computation of high-gain observers for nonlinear systems using automatic differentiation
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
The designs of high-gain observers using the observability canonical form is reviewed. Up to the preset, gradients of Lie derivatives required by the design algorithms have been computed symbolically. A symbolic computation of the observer gain yields quite often extremely large expressions, even for systems of moderate dimension and complexity. We show how automatic differentiation may be used to compute the observer gain.
|
|
|
|
|
|
|
|
|
|
|
|
ProPac 2.0
|
|
|
|
|
|
http://library.wolfram.com/infocenter/Books/3633/
|
|
For the newest resources, visit Wolfram Repositories and Archives »
