Optimal PID Controller Autotuning Design for MIMO Nonlinear Systems Based on the Adaptive SLP Algorithm
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Pongfai, Jirapun 
ORCID: https://orcid.org/0000-0003-3753-8122, Angeli, Chrissanthi, Shi, Peng ORCID: https://orcid.org/0000-0001-8218-586X, Su, Xiaojie ORCID: https://orcid.org/0000-0003-1802-0264 and Assawinchaichote, Wudhichai ORCID: https://orcid.org/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
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| Item type | Article |
| URI | https://vu-9.eprints-hosting.org/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 |
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