Extremum seeking control for nonlinear systems on compact Riemannian manifolds

This paper formulates the extremum seeking control problem for nonlinear dynamical systems which evolve on Riemannian manifolds and presents stability results for a class of numerical algorithms defined in this context. The results are obtained based upon an extension of extremum seeking algorithms...

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Bibliographic Details
Main Authors: Taringoo, Farzin, Nesic, Dragan, Ying Tan, Dower, Peter M.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Heuristic algorithms
Lyapunov methods
Manifolds
Measurement
Stability analysis
Vectors
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Summary:This paper formulates the extremum seeking control problem for nonlinear dynamical systems which evolve on Riemannian manifolds and presents stability results for a class of numerical algorithms defined in this context. The results are obtained based upon an extension of extremum seeking algorithms in Euclidean spaces and a generalization of Lyapunov stability theory for dynamical systems defined on Rimannian manifolds. We employ local properties of Lyapunov functions to extend the singular perturbation analysis on Riemannian manifolds. Consequently, the results of the singular perturbation on manifolds are used to obtain the convergence of extremum seeking algorithms for dynamical systems on Riemannian manifolds.
ISSN:0191-2216
DOI:10.1109/CDC.2014.7039797