Model reference adaptive control of manipulators (Mechanical engineering research studies)

This research study presents the author's recent research on the control of mechanical manipulators, offering an account of the latest advances in this area of the robotics field. Confirms the robustness of the Model Reference Adaptive Control (MRAC) and Minimal Controller Synthesis (MCS) algorithms applied to manipulators, using analytical as well as realistic nonlinear simulation techniques. Special attention is paid to the robustness proofs of MRAC and MCS and to the excellent results obtained from closed-loop simulation studies. The concepts of adaptive control are emphasized rather than the dynamic modeling of manipulators.