Abstract:

\hyphenation{al-gor-ithm Identi-fi-cation regu-lator trans-form-ation} This paper introduces an new approach for parameter estimation and two-level control of large-scale discrete systems using input-output data. Parallel recursive least square estimation algorithms based on special observable canonical innovation model are considered and subsequently, parallel state estimation schemes are developed by partitioning the conventional Kalman-filter equation. Two-level controller is implemented by using estimated parameters. Global output feedback controller is designed to reduce the effect of state interaction between the subsystems and subsequently, a numerically reliable and stable local controller based on singular value decomposition (SVD) technique is considered to stabilize and improve the performance of the composite system. Simulation studies for parameter estimation and control of discrete time systems are carried out by considering a numerical example of flight control problem.