The control of high-dimensional, continuous, non-linear dynamical systems is a key problem in reinforcement learning and control. Local, trajectory-based methods, using techniques...
Abstract. By using differential neural networks, we present a novel robust adaptive controller for a class of unknown nonlinear systems. First, dead-zone and projection techniques...
An adaptive control scheme for mechanical manipulators is proposed. The control loop essentially consists of a network for learning the robot's inverse dynamics and on-line ge...
The locomotor controller for walking, running, swimming, and flying animals is based on a Central Pattern Generator (CPG). Models of CPGs as systems of coupled non-linear oscillato...
M. Anthony Lewis, Ralph Etienne-Cummings, Avis H. ...
Several kinematic control algorithms for redundant manipulators adopt generalized inverse matrices. In this line of thought, the generalized inverse control scheme is tested throu...