Title :
Optimum adaptive control in an unknown environment
Author_Institution :
Stanford Research Institute, Menlo Park, CA, USA
fDate :
8/1/1968 12:00:00 AM
Abstract :
This correspondence describes the formulation and solution of a nonlinear, non-Gaussian stochastic control problem. Dynamic programming is used to obtain the solution to the problem of optimally controlling a robot, equipped with sensors, that is operating in an unknown environment.
Keywords :
Adaptive control; Optimal stochastic control; Robots; Stochastic optimal control; Adaptive control; Control systems; Cost function; Dynamic programming; Optimal control; Robot kinematics; Robot sensing systems; Sensor systems; Stochastic processes; Stochastic systems;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1968.1098928
