A Statistical Study on the Response of Nonlinear Control Systems Subjected to a Non-Stationary Random Input (the Journal and the Transactions of the Japan Society of Mechanical Engineers)
スポンサーリンク
概要
- 論文の詳細を見る
In the previous paper, the authors described the statistical studies on the responce of nonlinear control systems subjected to an ergodic stationary Gaussion random input. This paper is devoted to the fundamental approaches to the non-stationary random time series which are considered to arise quite often for the automatic control systems in practice. Firstly, the response of nonlinear control systems subjected to a non-stationary random signal is evaluated. Secondly, for an example, a non-stationary Orenstein-Uhlenbeck process which is obtained by using the method of Fokker-Planck is treated. Detail illustrations are shown by several examples.
- 一般社団法人日本機械学会の論文
著者
-
Sawaragi Yoshikazu
Faculity Of Eengineering Kyoto University
-
Soeda Takashi
Faculty Of Engineering Tokushima University
-
SUNAHARA Yoshifumi
Faculty of Engineering, Kyoto University
関連論文
- Forced Vibrations of the System with Two Degrees of Freedom with Coulomb Damping
- On-Off Control Systems Operating on Sampled Data
- Surface Strain Distributions of Rubber Cylinders under Shear or Compressive Shear
- Self-Excited Rolling Motion of a Vehicle Suspended by Air Springs
- Mean Square Stability of a Class of Closed-Loop Stochastic Systems
- A Consideration on the Optimum Construction of a Control System Subjected to a Nonstationary Random Input : The Case of Open Loop System
- On a Cycling Phenomenon in an Actual Control System Caused by a Backlash Element in a Pneumatic Controller
- A Statistical Study on the Response of Nonlinear Control Systems Subjected to a Non-Stationary Random Input (the Journal and the Transactions of the Japan Society of Mechanical Engineers)
- Time-Dependent Probability Distribution of the Non-Stationary Response of Nonlinear Control Systems
- On the Method of Successive Approximations for Dynamic Optimization of a Nonlinear Control System Subjected to a Stationary Gaussian Random Disturbance
- A Two-Level Computing System for the Solution of Complex Optimal Control Problems