Linear stationary Dynamic system

The aim of this article is to prove that, solution x(t) (state function) of the linear stationary dynamic system x(t) = Bx(t) + Du(t), which transfers the system from any initial conditions in to any final conditions and at the same time satisfies conditions given for the controllability function u(t) is possible to find in the type of polynomials of degree r + (k + 2)(p + 1)-1 with vector coefficients.

4p vilexus 30-09-2022 8 4   Download

In the case of stationary motion, the generalized Ritz's method has been applied to obtain system of linear differential equations with periodic coefficients. We have written computer programs to check conditions of dynamic stability and to find periodic solutions of the obtained equations. Numerical examples are given and from which the effect of elastic factors on articulation reactions is evaluated.

10p chikychiky 01-11-2018 26 0   Download

Tuyển tập các báo cáo nghiên cứu khoa học ngành toán học tạp chí Journal of Operator Theory đề tài: Ổn định hệ thống tiêu tán tuyến tính tĩnh tán xạ động học...

32p matuot_266 26-08-2011 50 4   Download

KALMAN FILTERS Simon Haykin Communications Research Laboratory, McMaster University, Hamilton, Ontario, Canada (haykin@mcmaster.ca) 1.1 INTRODUCTION The celebrated Kalman filter, rooted in the state-space formulation of linear dynamical systems, provides a recursive solution to the linear optimal filtering problem. It applies to stationary as well as nonstationary environments. The solution is recursive in that each updated estimate of the state is computed from the previous estimate and the new input data, so only the previous estimate requires storage.

21p khinhkha 29-07-2010 90 10   Download

The celebrated Kalman filter, rooted in the state-space formulation of linear dynamical systems, provides a recursive solution to the linear optimal filtering problem. It applies to stationary as well as nonstationary environments. The solution is recursive in that each updated estimate of the state is computed from the previous estimate and the new input data, so only the previous estimate requires storage.

21p duongph05 07-06-2010 85 15   Download