Shuzhi Sam Ge; Oussama Khatib; John-John Cabibihan; Reid Simmons; Mary Anne Williams Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Pehmeäkantinen kirja
Shuzhi Sam Ge (ed.); John-John Cabibihan (ed.); Miguel A. Salichs (ed.); Elizabeth Broadbent (ed.); Hongsheng He (ed.); Wag Springer (2018) Pehmeäkantinen kirja
Jong-Hwan Kim; Shuzhi Sam Ge; Prahlad Vadakkepat; Norbert Jesse; Abdullah Al Mamun; Sadasivan Puthusserypady; Ulr Rückert Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2009) Pehmeäkantinen kirja
Jong-Hwan Kim (ed.); Shuzhi Sam Ge (ed.); Prahlad Vadakkepat (ed.); Norbert Jesse (ed.); Abdullah Al Mamun (ed.); Puthusser Springer (2009) Pehmeäkantinen kirja
Miguel A. Salichs (ed.); Shuzhi Sam Ge (ed.); Emilia Ivanova Barakova (ed.); John-John Cabibihan (ed.); Alan R. (ed. Wagner Springer (2019) Pehmeäkantinen kirja
Recently, there has been considerable research interest in neural network control of robots, and satisfactory results have been obtained in solving some of the special issues associated with the problems of robot control in an “on-and-off” fashion. This book is dedicated to issues on adaptive control of robots based on neural networks. The text has been carefully tailored to (i) give a comprehensive study of robot dynamics, (ii) present structured network models for robots, and (iii) provide systematic approaches for neural network based adaptive controller design for rigid robots, flexible joint robots, and robots in constraint motion. Rigorous proof of the stability properties of adaptive neural network controllers is provided. Simulation examples are also presented to verify the effectiveness of the controllers, and practical implementation issues associated with the controllers are also discussed.
