Modeling and simulation of PLC-based PWM-Driven Variable Speed Drive via state-space approach

2011 ◽  
Author(s):  
Muhammad Kamarul Baharin ◽  
Nordin Saad ◽  
Taib Ibrahim ◽  
Handy Ali Munir
Keyword(s):  
Modeling And Simulation ◽  
State Space ◽  
Variable Speed ◽  
State Space Approach ◽  
Variable Speed Drive ◽  
Space Approach

Nonstationary Response of Vehicles on Rough Ground—A State Space Approach

1981 ◽  
Vol 103 (3) ◽  
pp. 245-250 ◽  
Author(s):  
J. K. Hammond ◽  
R. F. Harrison
Keyword(s):  
State Space ◽  
Space Form ◽  
Arbitrary Order ◽  
Variable Speed ◽  
State Space Approach ◽  
Shaping Filter ◽  
Nonstationary Response ◽  
Response Variance ◽  
Velocity History ◽  
Space Approach

The motion of vehicles traveling over rough ground at variable speed is non-stationary. In this paper, a method for the computation of response variance is presented which uses the concept of a “spatial” shaping filter to represent the uneven ground, leading to a state space form for the combination of vehicle and excitation. The formulation is for linear systems of arbitrary order and allows any deterministic velocity history to be accommodated easily. An example is discussed in detail.

GENERALIZED THEORY OF MAGNETO-THERMO-VISCOELASTIC SPHERICAL CAVITY PROBLEM UNDER FRACTIONAL ORDER DERIVATIVE: STATE SPACE APPROACH

2020 ◽  
Vol 9 (11) ◽  
pp. 9769-9780
Author(s):  
S.G. Khavale ◽  
K.R. Gaikwad
Keyword(s):  
State Space ◽  
Fractional Order ◽  
Order Derivative ◽  
Laplace Inversion ◽  
State Space Approach ◽  
Spherical Region ◽  
Fractional Order Derivative ◽  
Numerical Laplace Inversion ◽  
Mathcad Software ◽  
Space Approach

This paper is dealing the modified Ohm's law with the temperature gradient of generalized theory of magneto-thermo-viscoelastic for a thermally, isotropic and electrically infinite material with a spherical region using fractional order derivative. The general solution obtained from Laplace transform, numerical Laplace inversion and state space approach. The temperature, displacement and stresses are obtained and represented graphically with the help of Mathcad software.

scholarly journals A Bayesian State-Space Approach to Mapping Directional Brain Networks

2020 ◽  
pp. 1-24
Author(s):  
Huazhang Li ◽  
Yaotian Wang ◽  
Guofen Yan ◽  
Yinge Sun ◽  
Seiji Tanabe ◽  
...  
Keyword(s):  
State Space ◽  
Brain Networks ◽  
State Space Approach ◽  
Space Approach
Sign in / Sign up

Export Citation Format

Share Document