Optimal PID Controller Autotuning Design for MIMO Nonlinear Systems Based on the Adaptive SLP Algorithm
Download
Download
Download
Full text for this resource is not available from the Research Repository.
Export
Pongfai, Jirapun 
ORCID: 0000-0003-3753-8122, Angeli, Chrissanthi, Shi, Peng ORCID: 0000-0001-8218-586X, Su, Xiaojie ORCID: 0000-0003-1802-0264 and Assawinchaichote, Wudhichai ORCID: 0000-0003-1333-5646
(2020)
Optimal PID Controller Autotuning Design for MIMO Nonlinear Systems Based on the Adaptive SLP Algorithm.
International Journal of Control, Automation and Systems, 19.
pp. 392-403.
ISSN 1598-6446
Dimensions Badge
Altmetric Badge
| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/42730 |
| DOI | 10.1007/s12555-019-0680-6 |
| Official URL | https://link.springer.com/article/10.1007%2Fs12555... |
| Subjects | Current > FOR (2020) Classification > 4008 Electrical engineering Current > Division/Research > College of Science and Engineering |
| Keywords | multiple-input multiple-output nonlinear systems; MIMO nonlinear systems; adaptive swarm learning process algorithm; adaptive SLP algorithm; Lyapunov stability theorem |
| Citations in Scopus | 15 - View on Scopus |
| Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)