Automatic Differentiation for Nonlinear Controller Design

Authors:
Klaus Röbenack
Affiliations:
-
Venue:
ICCS '02 Proceedings of the International Conference on Computational Science-Part II
Year:
2002

Citing 8
Cited 2

Nonlinear dynamical control systems

Nonlinear dynamical control systems
Equivalence of Nonlinear Systems to Input-Output Prime Forms

SIAM Journal on Control and Optimization
Algorithm 755: ADOL-C: a package for the automatic differentiation of algorithms written in C/C++

ACM Transactions on Mathematical Software (TOMS)
Evaluating derivatives: principles and techniques of algorithmic differentiation

Evaluating derivatives: principles and techniques of algorithmic differentiation
Nonlinear Control Systems

Nonlinear Control Systems
Nonlinear Control and Analytical Mechanics with Mathematica with Cdrom

Nonlinear Control and Analytical Mechanics with Mathematica with Cdrom
Differentiation methods for industrial strength problems

Automatic differentiation of algorithms
Brief Freedom in coordinate transformation for exact linearization and its application to transient behavior improvement

Automatica (Journal of IFAC)

Computation of state and input trajectories for flat systems using automatic differentiation

Automatica (Journal of IFAC)
Input-output linearization of nonlinear systems using multivariable Legendre polynomials

Automatica (Journal of IFAC)

Quantified Score

Hi-index	0.00

Visualization

Abstract

Several new algorithms for nonlinear controller design are based on differential-geometric concepts. Up to now, the feedback of the controller has been computed symbolically. The author proposes a method to compute the feedback using automatic differentiation. With this approach, time-consuming symbolic computation can be avoided.