GA based robust design of RHC with adaptive DA converter

In this paper, a Genetic Algorithm (GA) based robust design method of Receding Horizon Control (RHC) for sampled-data systems is proposed. The method is combined a minimax optimization, a robust finite RHC and an adaptive Digital-to-Analog (DA) converter. The adaptive DA converter interpolate the di...

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Bibliographic Details
Main Author: Kawabe, T.
Format: Conference Proceeding
Language:English
Subjects:
Control systems
Design methodology
Genetic algorithms
Minimax techniques
Optimization methods
Robust control
Robustness
Sampling methods
Switches
Switching converters
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Description
Summary:In this paper, a Genetic Algorithm (GA) based robust design method of Receding Horizon Control (RHC) for sampled-data systems is proposed. The method is combined a minimax optimization, a robust finite RHC and an adaptive Digital-to-Analog (DA) converter. The adaptive DA converter interpolate the discrete signal using predicted information calculated in RHC algorithm and switch the sampling function according to the system status. A numerical example is given to show the effectiveness of the proposed method.
ISSN:1948-3449
1948-3457
DOI:10.1109/ICCA.2009.5410308