Nonlinear process control using fuzzy LQR
| dc.Advisor | Sastri, Musti | en_US |
| dc.DateSubmitted | 2014 | |
| dc.DegreeType | Master of Philosophy (M.Phil.) | en_US |
| dc.Department | Electrical and Computer Engineering | en_US |
| dc.Faculty | Engineering | en_US |
| dc.Institution | University of the West Indies (Saint Augustine, Trinidad and Tobago) | en_US |
| dc.LCCallNumber | QA9. 64 .D66 2014 | en_US |
| dc.contributor.author | Doodnath, Anthony | |
| dc.date.accessioned | 2016-01-25T18:31:52Z | |
| dc.date.available | 2016-01-25T18:31:52Z | |
| dc.date.issued | 2016-01-25 | |
| dc.identifier.uri | https://hdl.handle.net/2139/41342 | |
| dc.relation.uri | https://hdl.handle.net/2139/41331 | |
| dc.rights | Please contact the West Indiana Division at the University of the West Indies,St.Augustine in order to view the full thesis. Contact: wimail@sta.uwi.edu | en_US |
| dc.subject.lcsh | Fuzzy logic | en_US |
| dc.subject.lcsh | Fuzzy mathematics | en_US |
| dc.subject.lcsh | Sparse matrices -- Computer programs | en_US |
| dc.subject.lcsh | Nonlinear control theory | en_US |
| dc.subject.lcsh | Nonlinear process control using fuzzy LQR | en_US |
| dc.title | Nonlinear process control using fuzzy LQR | en_US |
| dc.type | Theses | en_US |
