we considered the Position Servo described by the state equation where A = T x(t) = Ax(t) bu(t) + IT b = F - [ 1 } ] - [ 1 ] x [ 2 ] - We assumed that = T, is a constant disturbing torque acting upon the shaft of the motor. We now pose a different problem here. Assume that to is a zero-mean white noise with a constant scalar intensity 100. Further, let the measured variable be given by y(t)= [10] x(1) + v(1) question: illustrates the block diagram of the optimal estimator
we considered the Position Servo described by the state equation where A = T x(t) = Ax(t) bu(t) + IT b = F - [ 1 } ] - [ 1 ] x [ 2 ] - We assumed that = T, is a constant disturbing torque acting upon the shaft of the motor. We now pose a different problem here. Assume that to is a zero-mean white noise with a constant scalar intensity 100. Further, let the measured variable be given by y(t)= [10] x(1) + v(1) question: illustrates the block diagram of the optimal estimator
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
![we considered the Position Servo described
by the state equation
where
A =
T
x(t) = Ax(t) bu(t) + IT
b =
F
- [ 1 } ] - [ 1 ] x [ 2 ]
-
We assumed that = T, is a constant disturbing torque acting upon the shaft
of the motor.
We now pose a different problem here. Assume that to is a zero-mean
white noise with a constant scalar intensity 100. Further, let the measured
variable be given by
y(t)= [10] x(1) + v(1)
question:
illustrates the block diagram of the optimal estimator](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe87681f1-0b8c-47bf-a091-2bfb4a21923a%2F1db4d80b-6661-4490-a54a-a7e2456a5a3e%2Fi5nosb6_processed.jpeg&w=3840&q=75)
Transcribed Image Text:we considered the Position Servo described
by the state equation
where
A =
T
x(t) = Ax(t) bu(t) + IT
b =
F
- [ 1 } ] - [ 1 ] x [ 2 ]
-
We assumed that = T, is a constant disturbing torque acting upon the shaft
of the motor.
We now pose a different problem here. Assume that to is a zero-mean
white noise with a constant scalar intensity 100. Further, let the measured
variable be given by
y(t)= [10] x(1) + v(1)
question:
illustrates the block diagram of the optimal estimator
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