Multi-layer genetic algorithms in robust control system design
Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 699-704 |
Journal / Publication | IEE Conference Publication |
Issue number | 427 /1 |
Publication status | Published - 1996 |
Externally published | Yes |
Conference
Title | Proceedings of the 1996 UKACC International Conference on Control. Part 1 (of 2) |
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City | Exeter, UK |
Period | 2 - 5 September 1996 |
Link(s)
Abstract
This paper describes the formulation and application of a Multi-Layer Multi-Objective Genetic Algorithm (MLMOGA) in the robust controller design. The MLMOGA is developed based on a multi-objective genetic algorithm formulated by Fonseca and Fleming [2]. A brief introduction of the H∞ loop shaping design procedure is included. A design example is presented to illustrate the capability of the MLMOGA to design robust control systems.
Citation Format(s)
Multi-layer genetic algorithms in robust control system design. / Goh, S. J.; Gu, D. W.; Man, K. F.
In: IEE Conference Publication, No. 427 /1, 1996, p. 699-704.
In: IEE Conference Publication, No. 427 /1, 1996, p. 699-704.
Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal