Influence of magnitude of interaction on control in decentralized adaptive control of two input two output systems

Perůtka, Karel

dc.title	Influence of magnitude of interaction on control in decentralized adaptive control of two input two output systems	en
dc.contributor.author	Perůtka, Karel
dc.relation.ispartof	Lecture Notes in Mechanical Engineering
dc.identifier.issn	2195-4356 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-3-03-079167-4
dc.date.issued	2022
dc.citation.spage	468
dc.citation.epage	479
dc.event.title	1st International Conference on Innovation in Engineering, ICIE 2021
dc.event.location	Guimarães
utb.event.state-en	Portugal
utb.event.state-cs	Portugalsko
dc.event.sdate	2021-06-28
dc.event.edate	2021-06-30
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Springer Science and Business Media Deutschland GmbH
dc.identifier.doi	10.1007/978-3-030-79168-1_41
dc.relation.uri	https://link.springer.com/chapter/10.1007/978-3-030-79168-1_41
dc.subject	adaptive control	en
dc.subject	self-tuning controller	en
dc.subject	decentralized control	en
dc.subject	suboptimal linear quadratic tracking	en
dc.subject	least squares method	en
dc.subject	interaction	en
dc.subject	gain poles	en
dc.description.abstract	This paper presents an analysis of the influence of interactions on the course of the control process using the chosen method of decentralized adaptive control of two input two output systems. In the paper, after the general introduction to decentralized and adaptive control, the necessary theoretical framework is presented. In this chapter, there is described the method used for decentralized control, the method of identifying the system parameters and the method of calculating the parameters of the controller. In the examples, the effect of the change in the gain of the interaction transfer function in one branch and the effect of the change in the gain of the interaction transfer functions in both branches were tested. Furthermore, it was verified that the change of the pole value in the interaction in one branch influences the control, and the effect of the change of the pole value in the transfer functions of the interaction in both branches. The results of these verifications are presented on selected examples and finally their evaluation is performed.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1010466
utb.identifier.obdid	43884090
utb.identifier.scopus	2-s2.0-85111371907
utb.identifier.wok	000773488800040
utb.source	d-scopus
dc.date.accessioned	2021-08-17T07:36:49Z
dc.date.available	2021-08-17T07:36:49Z
utb.contributor.internalauthor	Perůtka, Karel
utb.scopus.affiliation	Tomas Bata University, Nam. T.G.M. 5555, Zlin, 76001, Czech Republic