This paper shows how to design Multivariable Model Reference Adaptive Control System (MRACS) for "Tokyo University discrete-time engine model" proposed by Yasuda et al (2014). This controller configuration has the structure of "Feedback error learning (FEL)" and adaptive law is based on kernel method. Simulation results indicate that "kernelized" adaptive controllers can improve the tracking performance, the speed of convergence and the robustness to disturbances.
|Journal||Journal of Physics: Conference Series|
|Publication status||Published - 2016 Oct 3|
|Event||13th International Conference on Motion and Vibration Control, MOVIC 2016 and the 12th International Conference on Recent Advances in Structural Dynamics, RASD 2016 - Southampton, United Kingdom|
Duration: 2016 Jul 4 → 2016 Jul 6
ASJC Scopus subject areas
- Physics and Astronomy(all)