| dc.creator | Figueroa, Jose Luis | |
| dc.creator | Biagiola, Silvina Ines | |
| dc.date.accessioned | 2015-07-21T16:44:54Z | |
| dc.date.available | 2015-07-21T16:44:54Z | |
| dc.date.created | 2015-07-21T16:44:54Z | |
| dc.date.issued | 2013-03 | |
| dc.identifier | Figueroa, Jose Luis; Biagiola, Silvina Ines; Modelling and uncertainties characterization for robust control; Elsevier; Journal Of Process Control; 23; 3; 3-2013; 415-428 | |
| dc.identifier | 0959-1524 | |
| dc.identifier | http://hdl.handle.net/11336/1339 | |
| dc.description.abstract | In this work, multi-input multi-output (MIMO) process identification is studied, where the model identification is dedicated to the control design goal. An ad hoc identification procedure is presented which allows estimating not only a nominal parametric process model, but also a bound of the model uncertainty (i.e. modelling errors). The model structure is defined in a way that the identified nominal model and the uncertainties can readily be used for the analysis and design of a robust control system by means of many of the techniques available in the literature. Simulation examples are given to illustrate the method. | |
| dc.language | eng | |
| dc.publisher | Elsevier | |
| dc.relation | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jprocont.2012.11.008 | |
| dc.relation | info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0959152412002636 | |
| dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | |
| dc.rights | info:eu-repo/semantics/restrictedAccess | |
| dc.subject | NONLINEAR IDENTIFICATION | |
| dc.subject | ROBUST CONTROL | |
| dc.subject | UNCERTAINTY CHARACTERIZATION | |
| dc.title | Modelling and uncertainties characterization for robust control | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:ar-repo/semantics/artículo | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
