Miniker 102 manual
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4 Dynamic analysis of systems in Miniker
4.1 Automatic sensitivity computation
4.1.1 Sensitivity to a parameter
4.1.2 Advance matrix sensitivity
4.2 Adjoint model and optimisation with Miniker
4.2.1 Overview of optimisation with Miniker
4.2.2 Control laws
4.2.3 Cost function coding and adjoint modeling
4.2.4 Sensitivity of cost function to parameters
4.3 Kalman filter
4.3.1 Coding the Kalman filter
4.3.1.1 Kalman filter vectors dimensions
4.3.1.2 Error and observation matrices
4.3.2 Kalman filter run and output
4.3.2.1 Feeding the observations to the model
4.3.2.2 Kalman filter results
4.3.3 Executing code after the analysis
4.4 Feedback gain
4.4.1 Specifying the Borel sweep
4.4.2 Borel sweep results
4.5 Stability analysis of fastest modes
4.5.1 Singular Value Decomposition with cmz
4.5.2 Singular Value Decomposition with make
4.5.3 Singular Value Decomposition run and output
4.6 Generalized linear tangent system analysis
4.6.1 Generalized tangent linear system with cmz
4.6.2 Generalized tangent linear system with make
4.6.3 Generalized tangent linear system analysis run and output
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This document was generated on
May 20, 2012
using
texi2any
.