| タイトル | M-MRAC Backstepping for Systems with Unknown Virtual Control Coefficients |
| 本文（外部サイト） | http://hdl.handle.net/2060/20150018874 |
| 著者（英） | Krishnakumar, Kalmanje; Stepanyan, Vahram |
| 著者所属（英） | NASA Ames Research Center |
| 発行日 | 2015-09-21 |
| 言語 | eng |
| 内容記述 | The paper presents an over-parametrization free certainty equivalence state feedback backstepping adaptive control design method for systems of any relative degree with unmatched uncertainties and unknown virtual control coefficients. It uses a fast prediction model to estimate the unknown parameters, which is independent of the control design. It is shown that the system's input and output tracking errors can be systematically decreased by the proper choice of the design parameters. The benefits of the approach are demonstrated in numerical simulations. |
| NASA分類 | Numerical Analysis; Cybernetics, Artificial Intelligence and Robotics |
| レポートNO | ARC-E-DAA-TN24312 |
| 権利 | Copyright, Distribution as joint owner in the copyright |
