Stochastic processes and feedback-linearisation for online identification and Bayesian adaptive control of fully-actuated mechanical systems

This work proposes a new method for simultaneous probabilistic identification and control of an observable, fully-actuated mechanical system. Identification is achieved by conditioning stochastic process priors on observations of configurations and noisy estimates of configuration derivatives. In co...

詳細記述

書誌詳細
主要な著者: Calliess, J, Papachristodoulou, A, Roberts, S
フォーマット: Journal article
出版事項: 2013