Linear quadratic tracking problems in Hilbert space - Application to optimal active noise suppressionA unified treatment of the linear quadratic tracking (LQT) problem, in which a control system's dynamics are modeled by a linear evolution equation with a nonhomogeneous component that is linearly dependent on the control function u, is presented; the treatment proceeds from the theoretical formulation to a numerical approximation framework. Attention is given to two categories of LQT problems in an infinite time interval: the finite energy and the finite average energy. The behavior of the optimal solution for finite time-interval problems as the length of the interval tends to infinity is discussed. Also presented are the formulations and properties of LQT problems in a finite time interval.
Document ID
19930068766
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Banks, H. T. (Brown Univ. Providence, RI, United States)
Silcox, R. J. (NASA Langley Research Center Hampton, VA, United States)
Keeling, S. L. (NASA Langley Research Center Hampton, VA, United States)
Wang, C. (Brown Univ. Providence, RI, United States)
Date Acquired
August 16, 2013
Publication Date
June 1, 1989
Subject Category
Cybernetics
Meeting Information
Meeting: IFAC, Symposium on Control of Distributed Parameter Systems