Mathematical tools for analysis of solutions of optim. control problem

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Mathematical tools for analyzing optimal control problems include bifurcation theory and phase portraits, which can help classify solutions based on varying parameters. The discussion focuses on how to determine conditions under which a control variable, such as u2, remains zero over time. The equations of motion for the state variables X1 and X2 depend on controls and parameters, highlighting the complexity of the system. The interest lies in understanding the relationship between parameters p1 and p2 and the behavior of the controls. Resources like Troutman's work are suggested for further exploration of these concepts.
Yephee
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Hi, i’m looking for some mathematical tools for analysis or classification of solutions of optimal control problems/variational. Equations of motions and optimized function depend on some parameters eg.
dX1/dt = f(X1,X2, u1, p1)
dX2/dt = f(X1,X2, u2, p2)
where X1,X2 are state variables, u1,u2 are controls and p1,p2 are parameters. I would be interested in answer the question for what p1,p2 there is u2 = 0 for whole time. I’m looking for something like bifurcation theory/phase portrait from dynamical system which might be applied for optimal control problems.
 
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