Mathematical tools for analysis of solutions of optim. control problem

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SUMMARY

This discussion focuses on mathematical tools for analyzing solutions to optimal control problems, specifically through the lens of bifurcation theory and phase portraits. The equations of motion are represented as dX1/dt = f(X1,X2, u1, p1) and dX2/dt = f(X1,X2, u2, p2), where X1 and X2 are state variables, u1 and u2 are control inputs, and p1 and p2 are parameters. The primary inquiry is to determine the conditions under which u2 remains zero over time, highlighting the relevance of Troutman's work in this context.

PREREQUISITES
  • Understanding of optimal control theory
  • Familiarity with bifurcation theory
  • Knowledge of dynamical systems
  • Proficiency in mathematical modeling of differential equations
NEXT STEPS
  • Research bifurcation theory applications in optimal control problems
  • Study phase portraits in dynamical systems
  • Explore Troutman's methodologies in optimal control analysis
  • Investigate parameter sensitivity analysis in control systems
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Mathematicians, control theorists, and engineers interested in the analysis and classification of solutions to optimal control problems.

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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