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A novel parameter estimation and state identification algorithm for nonlinear dynamical systems from data by embedding a multiple shooting methodology in the framework of a genetic algorithm (EMSGA) is described.
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The principle of the simple shooting method and of the multiple shooting method are recalled.
The multiple shooting method is applied with three node points.
A tailored simultaneous solution strategy based on multiple shooting and reduced SQP is presented.
Multiple shooting and full discretization aim at overcoming these deficiencies but suffer from other drawbacks.
Accurate first guess solutions are optimized, through a direct method approach and multiple shooting technique.
We propose to solve a black-oil reservoir optimal control problem with the Direct Multiple Shooting Method (MS).
The multiple shooting method improves the numerical stability at the expense of a larger nonlinear system.
These successive continuations are implemented using the PC continuation combined with the multiple shooting method.
The number of nodes for the multiple shooting has been set to 3 from experiments.
Distributed multiple shooting is a modification of the standard multiple shooting method which takes into account the structure of certain large-scale systems in order to obtain a better controller design flexibility and high parallelizability.
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