NDLI: Research on LQR control optimized by elitist preserving genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Jun feng Wu Le Xiao
Copyright Year	2010
Description	Author affiliation: College of Automation, Harbin University of Science and Technology, China (Jun feng Wu; Le Xiao)
Abstract	It's critical to select weighing matrixes of Q and R when designing Linear Quadratic Regulator(LQR). This paper put forward a method of LQR control whose weighing matrixes are optimized by elitist preserving genetic algorithm, the best individual which enter directly into the next generation replaces the worst one during the copy process of genetic algorithm, the direct entering guarantees it won't be destroyed by the following processes, including crossover and mutation, so the fitness of the best individual of each generation increase or at least keeps the same as the step of evolution goes by, the weighing matrixes are optimized each generation. The last part of the thesis gives an example for simulation which testifies the validity of the algorithm.
Starting Page	5327
Ending Page	5329
File Size	272960
Page Count	3
File Format	PDF
ISBN	9781424476169
e-ISBN	9781424476183
DOI	10.1109/ICISE.2010.5689281
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	LQR control Elitist preserving genetic algorithm Automation Gallium Conferences Simulation Process control Evolutionary computation Educational institutions Genetics
Content Type	Text
Resource Type	Article

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