Title :
Sequential identification and control for bounded-noise ARX systems
Author :
Krolikowski, Andrzej
Author_Institution :
Dept. of Control Robotics & Comput. Sci., Tech. Univ. Poznan, Poland
fDate :
2/1/2001 12:00:00 AM
Abstract :
An optimal combination of sequential identification and control for a linear bounded-input bounded-noise discrete-time ARX plant is considered. Various configurations of identifying/controlling sequences are investigated in order to find an optimal tradeoff. The optimal identifying input sequence is determined by maximization of a given identification accuracy measure while the control input sequence is derived to assure a good tracking of the control system. A second-order model is taken for simulation and optimization
Keywords :
closed loop systems; discrete time systems; identification; linear systems; noise; sequences; identification accuracy measure; linear bounded-input bounded-noise discrete-time ARX plant; optimal identifying input sequence; optimal tradeoff; second-order model; sequential identification; Adaptive control; Automatic control; Control systems; Convergence; Open loop systems; Optimal control; Parameter estimation; Programmable control; Recursive estimation; Robot control;
Journal_Title :
Automatic Control, IEEE Transactions on
