Identification and control of electro-mechanical systems using state-dependent parameter estimation
This paper addresses the important topic of electro-mechanical systems identification with an application in robotics. The standard inverse dynamic identification model with least squares (IDIM-LS) method of identifying models for robotic systems is based on the use of a continuous-time inverse dynamic model whose parameters are identified from experimental data by linear LS estimation. The paper describes a new alternative but related approach that exploits the state-dependent...[Show more]
|Collections||ANU Research Publications|
|Source:||International Journal of Control|
|01 Janot A et al Identification and control 2016.pdf||715.46 kB||Adobe PDF|
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