Penentuan Matriks Pembobot Pada Kontrol Optimal Menggunakan Adaptive Particle Swarm Optimization

Mutamar, Khozin; Naiborhu, Janson

dc.contributor.author	Mutamar, Khozin
dc.contributor.author	Naiborhu, Janson
dc.date.accessioned	2016-04-22T03:31:53Z
dc.date.available	2016-04-22T03:31:53Z
dc.date.issued	2016-04-22
dc.identifier.issn	2085-2630
dc.identifier.other	wahyu sari yeni
dc.identifier.uri	http://repository.unri.ac.id/xmlui/handle/123456789/8253
dc.description.abstract	This article present a new approach to determine weighting matrices in optimal control using adaptive particle swarm optimization. APSO is modified from standard PSO which have weighting and multi globalbest. APSO used to improve control performance by selecting appropriate weighting matrices. Simulation is given to illustrate the design procedure and to comparation of control performance between PSO and APSO using integral absolute error (IAE).	en_US
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dc.description.provenance	Made available in DSpace on 2016-04-22T03:31:53Z (GMT). No. of bitstreams: 3 01-COVER.pdf: 1633401 bytes, checksum: f86870215ef4eddb284c4f4a94d146b6 (MD5) 03-DAFTAR ISI.pdf: 1024145 bytes, checksum: 145e11735024a42a2f6a2a031e597f21 (MD5) 04-ISI.pdf: 889730 bytes, checksum: 09aa0670fbc5f0447289ab384af92508 (MD5)	en
dc.description.sponsorship	urnal Iptek Vol 8, no1 Tahun 2016	en_US
dc.language.iso	en	en_US
dc.subject	Adaptive particle swarm optimization	en_US
dc.subject	integral absolute error	en_US
dc.subject	optimal control	en_US
dc.subject	weighting matrices	en_US
dc.title	Penentuan Matriks Pembobot Pada Kontrol Optimal Menggunakan Adaptive Particle Swarm Optimization	en_US
dc.type	UR-Scientific Work Lecturer	en_US