A Shahshahani Gradient based extremum seeking scheme

We present a novel scheme of a deterministic continuous extremum seeking control based on evolutionary game theory (EGT), which allows the optimization in real-time of non-modeled multivariable dynamic systems under inequality and equality constraints. Unlike traditional extremum seeking controllers...

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Main Authors: Poveda, J., Quijano, N.
Format: Conference Proceeding
Language:English
Subjects:
Games
Optimization
Sociology
Stability analysis
Statistics
Trajectory
Vectors
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Quijano, N.
description We present a novel scheme of a deterministic continuous extremum seeking control based on evolutionary game theory (EGT), which allows the optimization in real-time of non-modeled multivariable dynamic systems under inequality and equality constraints. Unlike traditional extremum seeking controllers, which use classical Euclidean gradient-based optimization methods, the scheme proposed is based on the Shahshahani Gradient, which emerges in some evolutionary games. The notion of maximal in the plant and its stability properties are correlated with the concepts of Nash equilibrium and evolutionarily stable states (ESS). The implementation of the algorithm is illustrated via simulation.
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subjects Games
Optimization
Sociology
Stability analysis
Statistics
Trajectory
Vectors
title A Shahshahani Gradient based extremum seeking scheme
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