블록펄스함수 변환을 이용한 대규모 시스템의 최적 추적제어 = Optimal Tracking Control for Large Scale Dynamic Systems using Block Pulse Function Transformations

다국어 초록 (Multilingual Abstract)

In this paper an algorithm has been suggested for the computation of optimal tracking control of large scale
dynamical systems using block pulse function(bpf) transformations. A number of techniques using orthogonal
functions and its transformations have been proposed to solve the problems related to a system control theory such
as identification, analysis and optimal control. The common characteristic of those techniques is to convert the
differential equations involved to the relevant algebraic equations. And suggested algorithm is based on the idea of
the two point boundary value problem that was developed by Hassan and Singh. The idea is proposed for the
optimization of large scale dynamic systems with a quadratic cost function. This method used an expansion around
the equilibrium point of the system to fix the second and higher order terms. These terms are compensated for
repeatedly at the second level by providing a prediction for the states and controls that a part of the higher order
terms.