الفهرس 
AbstractOnly 14 pages are availabe for public view
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Abstract
some the plant parameters to be well known, although in practice they may be varying or at some unknown values. Sensitivity analysis attempts to assess the effect of such uncertainties on system performance and also to design control strategies so as to minimize this effect.
However, the optimal control synthesized in such a
straight forward fashion is unsatisfactory due to the departure
the system parameters from their nominal values or due to he divergence between the mathematical model and the physical system. Therefore there might be a need to synthesize an
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ptimal control in such a way that it becomes as little ensitive as possible to changes in operating conditions or =%,stem= parameters.
This thesis presents a new and refined approach for _wevelopment and design of two levels hierarchical and -ecentralized control structure. These controllers satisfy low sensitivity with respect to variations in power system control parameters and operating conditions, which minimize not only a certain cost function, but also the sensitivity of the cost
and trajectory sensitivity, using decomposition
cz~rdination technique