(10 intermediate revisions by 4 users not shown)
Line 1: Line 1:
[[Category:ECE301Spring2011Boutin]]
+
<center><font size= 4>
[[Category:problem solving]]
+
'''[[Signals_and_systems_practice_problems_list|Practice Question on "Signals and Systems"]]'''
= Practice Question on System Stability=
+
</font size>
 +
 
 +
 
 +
[[Signals_and_systems_practice_problems_list|More Practice Problems]]
 +
 
 +
 
 +
Topic: Stability of a System
 +
</center>
 +
----
 +
==Question==
 +
 
 +
 
 
The input x(t) and the output y(t) of a system are related by the equation  
 
The input x(t) and the output y(t) of a system are related by the equation  
  
<math>y(t)=\frac{1}{1+x^2(t)}.</math>
+
<math>y(t)=\frac{ {\color{red} t }}{1+x^2(t)}.</math>  
  
 
Is the system stable? Answer yes/no and ustify your answer.  
 
Is the system stable? Answer yes/no and ustify your answer.  
 +
 +
:<span style="color:red">OOPS, I actually meant to put a "t" on top of the fraction (now in red). -pm</span>
 +
 
----
 
----
==Share your answers below==
+
 
You will receive feedback from your instructor and TA directly on this page. Other students are welcome to comment/discuss/point out mistakes/ask questions too!
+
== Share your answers below ==
 +
 
 +
You will receive feedback from your instructor and TA directly on this page. Other students are welcome to comment/discuss/point out mistakes/ask questions too!  
 +
 
 
----
 
----
===Answer 1===
 
This system is stable.
 
I'm actually not sure how to show this, does the following logic work?
 
  
<math>\lim_{x(t) \to 0}\frac{1}{1+x^2(t)} = 1</math> and <math>\frac{1}{1+x^2(t)} < 1 </math> for all x(t), thus the system is stable.
+
=== Answer 1 ===
  
I'm not sure that the justification works here...
+
This system is stable. I'm actually not sure how to show this, does the following logic work?
  
--[[User:Cmcmican|Cmcmican]] 17:44, 24 January 2011 (UTC)
+
<math>\lim_{x(t) \to 0}\frac{1}{1+x^2(t)} = 1</math> and <math>\frac{1}{1+x^2(t)} < 1 </math> for all x(t), thus the system is stable.
 +
 
 +
I'm not sure that the justification works here...
 +
 
 +
--[[User:Cmcmican|Cmcmican]] 17:44, 24 January 2011 (UTC)  
 +
 
 +
:<span style="color:green">Unfortunately no. Here is how you should go about answering such questions. If you think it is stable,</span>
 +
 
 +
:<span style="color:green"> then assume that x(t) is bounded (i.e., |x(t)|&lt;m ) and then try to show that y(t) is also bounded (|y(t)&lt;M ).</span>
 +
 
 +
:<span style="color:green"> If you think it is not stable, then try to think of a bounded signal x(t) for which y(t) would not be bounded.</span>
 +
 
 +
<br>
 +
 
 +
:<span style="color:green"> Hint for this case: Look at the constant signal x(t)=1. -pm </span>
 +
 
 +
=== Answer 2  ===
 +
 
 +
Now that it has a t on top, it's not bounded.
 +
 
 +
If you consider the constant signal x(t)=1, then <math>y(t) = \frac{{t }}{1+1^2} = \frac{{t }}{2}</math>, which is not bounded.
 +
 
 +
--[[User:Cmcmican|Cmcmican]] 19:26, 24 January 2011 (UTC)
 +
 
 +
:<span style="color:green">Good! And what if there was no t on top? -pm </span>
 +
 
 +
=== Answer 3  ===
 +
 
 +
If there is not a t on top (i.e it is back to being a '1'), then the signal is bounded*.
 +
 
 +
Considering the case where <math>|x(t)| \le \infty</math> then <math>0<\frac{{1}}{1+x^2(t)}\le1</math>.
 +
 
 +
<math>\therefore y(t)</math> is bounded by <math>M = \pm 1</math>
 +
 
 +
 
 +
'''*Addendum''': This only works for <math>x(t) \in \Re</math>&nbsp;as there are imaginary values that cause it to be unstable.
 +
 
 +
--[[User:Darichar|Darichar]] 14:05, 26 January 2011 (UTC)
 +
 
 +
:<span style="color:green">TA's comment: BIBO stability requires that the response doesn't diverge for any bounded input signal, including complex signals. Therefore, we just say that this system is unstable.</span>
 +
--[[User:Ahmadi|Ahmadi]] 22:00, 27 January 2011 (UTC)
 +
<br> <br> <br>
  
===Answer 2===
 
Write it here.
 
===Answer 3===
 
Write it here.
 
 
----
 
----
[[2011_Spring_ECE_301_Boutin|Back to ECE301 Spring 2011 Prof. Boutin]]
+
 
 +
[[2011 Spring ECE 301 Boutin|Back to ECE301 Spring 2011 Prof. Boutin]]
 +
 
 +
[[Category:ECE301Spring2011Boutin]] [[Category:Problem_solving]]

Latest revision as of 16:20, 26 November 2013

Practice Question on "Signals and Systems"


More Practice Problems


Topic: Stability of a System


Question

The input x(t) and the output y(t) of a system are related by the equation

$ y(t)=\frac{ {\color{red} t }}{1+x^2(t)}. $

Is the system stable? Answer yes/no and ustify your answer.

OOPS, I actually meant to put a "t" on top of the fraction (now in red). -pm

Share your answers below

You will receive feedback from your instructor and TA directly on this page. Other students are welcome to comment/discuss/point out mistakes/ask questions too!


Answer 1

This system is stable. I'm actually not sure how to show this, does the following logic work?

$ \lim_{x(t) \to 0}\frac{1}{1+x^2(t)} = 1 $ and $ \frac{1}{1+x^2(t)} < 1 $ for all x(t), thus the system is stable.

I'm not sure that the justification works here...

--Cmcmican 17:44, 24 January 2011 (UTC)

Unfortunately no. Here is how you should go about answering such questions. If you think it is stable,
then assume that x(t) is bounded (i.e., |x(t)|<m ) and then try to show that y(t) is also bounded (|y(t)<M ).
If you think it is not stable, then try to think of a bounded signal x(t) for which y(t) would not be bounded.


Hint for this case: Look at the constant signal x(t)=1. -pm

Answer 2

Now that it has a t on top, it's not bounded.

If you consider the constant signal x(t)=1, then $ y(t) = \frac{{t }}{1+1^2} = \frac{{t }}{2} $, which is not bounded.

--Cmcmican 19:26, 24 January 2011 (UTC)

Good! And what if there was no t on top? -pm

Answer 3

If there is not a t on top (i.e it is back to being a '1'), then the signal is bounded*.

Considering the case where $ |x(t)| \le \infty $ then $ 0<\frac{{1}}{1+x^2(t)}\le1 $.

$ \therefore y(t) $ is bounded by $ M = \pm 1 $


*Addendum: This only works for $ x(t) \in \Re $ as there are imaginary values that cause it to be unstable.

--Darichar 14:05, 26 January 2011 (UTC)

TA's comment: BIBO stability requires that the response doesn't diverge for any bounded input signal, including complex signals. Therefore, we just say that this system is unstable.

--Ahmadi 22:00, 27 January 2011 (UTC)



Back to ECE301 Spring 2011 Prof. Boutin

Alumni Liaison

Ph.D. 2007, working on developing cool imaging technologies for digital cameras, camera phones, and video surveillance cameras.

Buyue Zhang