Nonlinear dynamical control systems
Nonlinear dynamical control systems
Algorithm 755: ADOL-C: a package for the automatic differentiation of algorithms written in C/C++
ACM Transactions on Mathematical Software (TOMS)
Flatness based control of a nonlinear chemical reactor model
Automatica (Journal of IFAC)
Evaluating derivatives: principles and techniques of algorithmic differentiation
Evaluating derivatives: principles and techniques of algorithmic differentiation
Evaluating higher derivative tensors by forward propagation of univariate Taylor series
Mathematics of Computation
Nonlinear Control Systems
Distortion Analysis of Analog Integrated Circuits
Distortion Analysis of Analog Integrated Circuits
Nonlinear Control and Analytical Mechanics with Mathematica with Cdrom
Nonlinear Control and Analytical Mechanics with Mathematica with Cdrom
Automatic differentiation of algorithms: from simulation to optimization
Automatic differentiation of algorithms: from simulation to optimization
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Lie derivatives are often used in nonlinear control and system theory. In general, these Lie derivatives are computed symbolically using computer algebra software. Although this approach is well-suited for small and medium-size problems, it is difficult to apply this technique to very complicated systems. We suggest an alternative method to compute the values of iterated and mixed Lie derivatives by algorithmic differentiation.