Electrical Engineering: Is this signal stable?

Click For Summary

Discussion Overview

The discussion revolves around the stability of a signal defined by the equation y(t) = x(1-5t), particularly in the context of electrical engineering and signal processing. Participants explore the implications of different input functions x(t) and the definition of stability in systems.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • One participant suggests that the system is stable because any bounded input will yield a bounded output, using the example of the unit step function u(t).
  • Another participant questions the lack of information about the function x(t), arguing that without restrictions on x(t), it is possible to find an unstable function.
  • Several participants emphasize the importance of defining "stability," with one suggesting that a stable system is one where a bounded input results in a bounded output at all times.
  • A participant clarifies that the title of the thread should refer to system stability rather than signal stability, introducing the concept of BIBO (Bounded Input, Bounded Output) stability and its criteria.
  • Another participant provides a detailed explanation of BIBO stability, including conditions that must be met for a system to be considered stable, and presents the impulse response of the system.
  • One participant expresses gratitude for the clarification on terminology and the general approach to determining stability.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the stability of the system, as there are multiple competing views regarding the definition of stability and the implications of different input functions.

Contextual Notes

The discussion highlights the dependence on the definition of stability and the specific form of the input function x(t), which remains unspecified in the original question. There are unresolved aspects regarding the generalization of stability criteria.

Boltzman Oscillation
Messages
233
Reaction score
26

Homework Statement



y(t) = x(1-5t)

Homework Equations



none

The Attempt at a Solution



well I've never looked at the stability of a signal which has a time scale and shift. My guess is that it is stable as anything I can provide as input will output a bounded signal.

Ex: if x(t) is u(t)
then y(t) = u(1-5t) which is bounded.
Am I correct or no? Also can I prove that it is stable just by one example or do i have to find a way to generalize?
 
Physics news on Phys.org
I don't think you've provided enough information to get useful comments; at least not by me.
What is x(t)? What is u(t) (the step function, maybe)?
What if x(t) = 1 - t? then y(t) = 5t
 
  • Like
Likes   Reactions: scottdave and berkeman
DaveE said:
I don't think you've provided enough information to get useful comments; at least not by me.
What is x(t)? What is u(t) (the step function, maybe)?
What if x(t) = 1 - t? then y(t) = 5t

Sorry, yes the u(t) is the step function.
Im given the question:
Determine whether the following system is stable:

y(t) = x(1 - 5t)

this is for a signals class in my electrical engineering corriculumn.
 
Boltzmann Oscillation said:
Sorry, yes the u(t) is the step function.
Im given the question:
Determine whether the following system is stable:

y(t) = x(1 - 5t)

this is for a signals class in my electrical engineering corriculumn.
And yet we still know nothing about the function x(t) in your problem statement.
With no restrictions on x(t), I can pretty much guarantee that there is a function x(t) for which x(1-5t) is unstable; there are also stable ones.
If you want a useful answer, you must ask a complete question.
 
What is the definition of "stable" that you are using? I have a guess based on my own EE background, and I am guessing once you write out the definition it will be clear to you whether this is stable or unstable.
 
jasonRF said:
What is the definition of "stable" that you are using? I have a guess based on my own EE background, and I am guessing once you write out the definition it will be clear to you whether this is stable or unstable.
From my own words, a stable system is one where a bounded input will create a bounded output at all times.
 
Hi

I think the title of this thread should be is this system stable instead of is this signal stable, because ## \textbf{BIBO stability} ## is a system property and not a signal property. There are a few system properties:
1. BIBO stability.
2. Causality.
3. Linearity.
4. Time invariance.
5. Memory (with or without).
6. Invertibility.

A system is ## \textbf{T} ## is a mathematical relation between an input and an output signal. We assume single variable functions of time here:
$$
\textbf{T} \{ x(t) \} = y(t)
$$
In the frequency domain where ## H(s) ## is the transfer function:
$$
H(s) \cdot X(s) = Y(s)
$$

A system is BIBO stable if:
1. For every bounded input, it produces a bounded output. AND
2. Its impulse response ## h(t) = \textbf{T} \{\delta(t) \} ## is absolutely integrable (the impulse response is bounded and an energy signal) . AND
3. All of its poles of the transfer function have a strictly negative real part.
4. Possibly other deeper requirements.

If you can prove one of the above requirements (any of 1 to 3) you have proven the system is bibo stable.

This system is described with:

$$
\textbf{T}\{x(t) \} = x(-5t + 1)
$$
The impulse response is:
$$
h(t) = \textbf{T}\{ \delta(t) \} = \dfrac{1}{5} \cdot \delta(t + 1)
$$
The above function is absolutely integrable, but the energy and power of this function cannot be defined. So, it is a bibo stable system.
Intuitively, just look at what the system is doing:
It flips, compresses, and time shifts your signals None of these operations can remove the boundedness from a bounded function or signal.
 
Last edited:
AVBs2Systems said:
Hi

I think the title of this thread should be is this system stable instead of is this signal stable, because ## \textbf{BIBO stability} ## is a system property and not a signal property. There are a few system properties:
1. BIBO stability.
2. Causality.
3. Linearity.
4. Time invariance.
5. Memory (with or without).
6. Invertibility.

A system is ## \textbf{T} ## is a mathematical relation between an input and an output signal. We assume single variable functions of time here:
$$
\textbf{T} \{ x(t) \} = y(t)
$$
In the frequency domain where ## H(s) ## is the transfer function:
$$
H(s) \cdot X(s) = Y(s)
$$

A system is BIBO stable if:
1. For every bounded input, it produces a bounded output. AND
2. Its impulse response ## h(t) = \textbf{T} \{\delta(t) \} ## is absolutely integrable (the impulse response is bounded and an energy signal) . AND
3. All of its poles of the transfer function have a strictly negative real part.
4. Possibly other deeper requirements.

If you can prove one of the above requirements (any of 1 to 3) you have proven the system is bibo stable.

This system is described with:

$$
\textbf{T}\{x(t) \} = x(-5t + 1)
$$
The impulse response is:
$$
h(t) = \textbf{T}\{ \delta(t) \} = \dfrac{1}{5} \cdot \delta(t + 1)
$$
The above function is absolutely integrable, but the energy and power of this function cannot be defined. So, it is a bibo stable system.
Intuitively, just look at what the system is doing:
It flips, compresses, and time shifts your signals None of these operations can remove the boundedness from a bounded function or signal.
I see. Thank you very much. I learned some new terminology and a more general way of determining stability. Thanks again.
 
  • Like
Likes   Reactions: AVBs2Systems

Similar threads

  • · Replies 4 ·
Replies
4
Views
3K
Replies
1
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 6 ·
Replies
6
Views
5K
  • · Replies 4 ·
Replies
4
Views
5K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 23 ·
Replies
23
Views
5K
  • · Replies 3 ·
Replies
3
Views
2K