An Optimal Adaptive Power System Stabilizer (1997)
An
optimal control algorithm with adaptive system parameters and
state variables estimation is presented. The optimal control is
calculated by solving the algebraic Riccati equation of the linearized
closed loop system model obtained by using an adaptive control
strategy. For realtime application feedback control is achieved
by recalculating the control sequence each sampling period. An
application of the algorithm a power system stabilizer is demonstrated
in realtime environment.
H
Infinity Model Predictive Control  Theory and Application
(2005)
Future industrial systems will require control
systems to be more reliable, autonomous, robust, and yet efficient.
The emphasis of this thesis is to introduce a robust control algorithm
definition that addresses the needs of future industrial environments.
The proposed controller is based on an adaptive concept with a
twostep approach. In step one, the system model is identified
in a closedloop by a robust technique. In step two, the obtained
system model from step one is used to formulate a robust controller.
