Title :
Decomposition and approximation of periodic systems
Author :
Arambel, Pablo O. ; Tadmor, Gilead
Author_Institution :
Scientific Syst. Co., Woburn, MA, USA
fDate :
4/1/1999 12:00:00 AM
Abstract :
This paper proposes a decomposition of periodically time-varying systems in an attempt to reduce the often overwhelming number of modeling parameters involved. In many cases it would be possible to represent the system using only a few of those components. An a priori bound on the approximation error is derived in terms of the smoothness of the system parameters. Both continuous and discrete-time systems are considered
Keywords :
approximation theory; identification; time-varying systems; approximation error bound; continuous systems; discrete-time systems; modeling parameter reduction; periodic system approximation; periodic system decomposition; periodically time-varying systems; Approximation error; Control systems; Fourier transforms; Frequency domain analysis; Kernel; Power harmonic filters; Reduced order systems; Sampling methods; State-space methods; Time varying systems;
Journal_Title :
Automatic Control, IEEE Transactions on
