Optimal PID Controller Autotuning Design for MIMO Nonlinear Systems Based on the Adaptive SLP Algorithm

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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

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/42730
DOI https://doi.org/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 4 - View on Scopus
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