A generalized cubic spline technique for identification of multivariable systems
نویسندگان
چکیده
منابع مشابه
Generalized Cubic Spline Fractal Interpolation Functions
We construct a generalized Cr-Fractal Interpolation Function (Cr-FIF) f by prescribing any combination of r values of the derivatives f (k), k = 1, 2, . . . , r, at boundary points of the interval I = [x0, xN ]. Our approach to construction settles several questions of Barnsley and Harrington [J. Approx Theory, 57 (1989), pp. 14–34] when construction is not restricted to prescribing the values ...
متن کاملCubic spline Numerov type approach for solution of Helmholtz equation
We have developed a three level implicit method for solution of the Helmholtz equation. Using the cubic spline in space and finite difference in time directions. The approach has been modied to drive Numerov type nite difference method. The method yield the tri-diagonal linear system of algebraic equations which can be solved by using a tri-diagonal solver. Stability and error estimation of the...
متن کاملImage Compression and Reconstruction using Cubic Spline Interpolation Technique
A new dimension of image compression using random pixels of irregular sampling and image reconstruction using cubic-spline interpolation techniques proposed in this paper. It also covers the wide field of multimedia communication concerned with multimedia messaging (MMS) and image transfer through mobile phones and tried to find a mechanism to transfer images with minimum bandwidth requirement....
متن کاملA pole assignment technique for multivariable systems with input delay
The pole assignment method for non-delay multivariable systems has received a great deal of attention for designing feedback controllers to achieve desired objectives [1], [2]. Suh and Bien [3] have considered a root locus technique for linear systems with time-delay. Here is an attempt to present a pole assignment method for multi-input systems with input delay. The single-input system with de...
متن کاملGeneralized System Identification with Stable Spline Kernels
Regularized least-squares approaches have been successfully applied to linear system identification. Recent approaches use quadratic penalty terms on the unknown impulse response defined by stable spline kernels, which control model space complexity by leveraging regularity and bounded-input bounded-output stability. This paper extends linear system identification to a wide class of nonsmooth s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Mathematical Analysis and Applications
سال: 1974
ISSN: 0022-247X
DOI: 10.1016/0022-247x(74)90038-9