Optimal control and integrability on Lie groups
Abstract
Any left-invariant optimal control problem (with quadratic cost) can be lifted, via the celebrated Maximum Principle, to a Hamiltonian system on the dual of the Lie algebra of the underlying state space G. The (minus) Lie-Poisson structure on the dual space g * is used to describe the (normal) extremal curves. As an illustration, a typical left-invariant optimal control problem on the rotation group SO (3) is investigated. The reduced Hamilton equations associated with an extremal curve are derived and then explicitly integrated by Jacobi elliptic functions.
FAQs
AI
What role does the Pontryagin Maximum Principle play in optimal control problems?
The paper demonstrates that the Pontryagin Maximum Principle provides necessary conditions for optimality in left-invariant control systems, facilitating the identification of extremal trajectories.
How are extremal trajectories derived from Hamiltonian dynamics in Lie groups?
Extremal trajectories are derived as projections of integral curves corresponding to Hamiltonian vector fields, as shown in the context of reduced Hamiltonians.
What is the significance of Jacobi elliptic functions in this research?
Jacobi elliptic functions are utilized to explicitly integrate the reduced Hamilton equations for optimal control problems, allowing for precise characterization of extremal curves.
How does complete integrability relate to Hamiltonian systems on Lie groups?
The study reveals that under specific conditions, such as dimensionality constraints, Hamiltonian systems on three-dimensional matrix Lie groups are completely integrable.
What conditions ensure the controllability of left-invariant control systems?
Controllability is ensured if the Lie algebra generated by the parametrization image matches the entire Lie algebra of the group, particularly when the group is compact.
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