A Non-Minimum Phase Robust Non-linear NeuroWavelet Predictive Control Strategy for a Quadruple Tank Process
dc.contributor.author | Owa, K | |
dc.contributor.author | Khan, Asiya | |
dc.contributor.author | sharma, sanjay | |
dc.contributor.author | Sutton, R | |
dc.date.accessioned | 2017-10-06T09:31:04Z | |
dc.date.available | 2017-10-06T09:31:04Z | |
dc.date.issued | 2017-11-02 | |
dc.identifier.issn | 1757-6342 | |
dc.identifier.issn | 1757-6350 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/10018 | |
dc.description.abstract |
In process industries model-plant mismatch is a significant problem. Quadruple tank process (QTP) can be configured both in minimum phase and non-minimum phase (NMP). However, in NMP, the control of QTP poses a challenge. This paper addresses that and presents a novel robust wavelet based non-minimum phase control (NMPC) strategy for the challenging QTP using genetic algorithm to find the optimised value of the manipulated variables in NMPC at every sampling time. The QTP is modelled based on wavelet neural network. The simulation results indicate that significant improvements have been achieved both in modelling and control strategies for a QTP system compare to conventional approaches such as the Levenberg-Marquardt. | |
dc.format.extent | 207-207 | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | Inderscience | |
dc.title | A Non-Minimum Phase Robust Non-linear NeuroWavelet Predictive Control Strategy for a Quadruple Tank Process | |
dc.type | journal-article | |
plymouth.issue | 4 | |
plymouth.volume | 4 | |
plymouth.publication-status | Published | |
plymouth.journal | International Journal of Process Systems Engineering | |
dc.identifier.doi | 10.1504/ijpse.2018.093702 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering | |
plymouth.organisational-group | /Plymouth/Research Groups | |
plymouth.organisational-group | /Plymouth/Research Groups/Marine Institute | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dcterms.dateAccepted | 2017-09-19 | |
dc.rights.embargodate | 2018-5-2 | |
dc.identifier.eissn | 1757-6350 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.1504/ijpse.2018.093702 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2017-11-02 | |
rioxxterms.type | Journal Article/Review |