This thesis reports an adaptive identification scheme applied to uncertain and disturbed nonlinear systems. The adaptive identifier parameters are adapted on-line using a recursive least-squares algorithm. As an important ...

This thesis presents the design of two robust optimal controllers for a class of nonlinear systems, which supports the representation of state-dependent coefficients factorized. An important consideration in the design of ...

In this thesis, three different approaches to the commonly used in order to solve the state estimation problem associated with electric power distribution systems. Instead of using direct methods for the solution of the ...