- Trending Categories
Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Signals and Systems: Stable and Unstable System
Stable System or BIBO Stable System
A system is called a BIBO (bounded input bounded output) stable system or simply stable system, if and only if every bounded input produces a bounded output. The output of a stable system does not change unreasonably.
The stability of a system indicates the usefulness of the system. The stability of a system can be determined from the impulse response of the system. The impulse response of the system is nothing but the output of the system for a unit impulse input.
If the impulse response of the system is absolutely integrable for a continuoustime system or absolutely summable for a discrete time system, then the system is a stable system.
Let an input signal x(t) is bounded signal, i.e.,
|𝑥(𝑡)| < 𝐾𝑥 < ∞ for − ∞ < 𝑡 < ∞
Where, 𝐾𝑥 is a positive real number. Then, if
|𝑦(𝑡)| < 𝐾𝑦 < ∞
That is, the output of the system y(t) is also bounded, then the system is called BIBO stable system.
Unstable System
If a system does not satisfy the BIBO stability condition, the system is called the unstable system. Therefore, for a bounded input, it is not necessary that the unstable system produces a bounded output. Thus, we can say that a system is unstable even if one bounded input generates an unbounded output.
Solved Example
Find whether the given systems are stable or unstable −
𝑦(𝑡) = 𝑒𝑥(𝑡) for |𝑥(𝑡)| ≤ 6
$\mathrm{h(t)=\frac{1}{RC}e^{\frac{-t}{RC}}u(t)}$
𝑦(𝑡) = (𝑡 + 7)𝑢(𝑡)
ℎ(𝑡) = 𝑒3𝑡𝑢(𝑡)
Solution
The output of the given system is,
𝑦(𝑡) = 𝑒𝑥(𝑡) for |𝑥(𝑡)| ≤ 6
The input of the given system is bounded, i.e.,
|𝑥(𝑡)| ≤ 6
Therefore, to the system be stable, the output must be bounded.
For the given system, the output y(t) becomes,
𝑒−6 ≤ 𝑦(𝑡) ≤ 𝑒6
Thus, the output y(t) is also bounded. Hence the system is stable.
The given system is
$$\mathrm{h(t)=\frac{1}{RC}e^{\frac{-t}{RC}}u(t)}$$For stability of the system,
$$\mathrm{\int_{-\infty }^{\infty}\: \left | h(t) \right |dt< \infty }$$For the given system,
$$\mathrm{\int_{-\infty }^{\infty}\: \left | h(t) \right |dt=\int_{-\infty }^{\infty}\:\left | \frac{1}{RC}e^{\frac{-t}{RC}}u(t) \right |dt=\int_{0}^{\infty}\:\left | \frac{1}{RC}e^{\frac{-t}{RC}} \right |dt }=1< \infty $$Therefore, the given system is a stable system.
The given system is
𝑦(𝑡) = (𝑡 + 7)𝑢(𝑡)
⟹ 𝑦(𝑡) = (𝑡 + 7); 𝑡 ≥ 0
Hence,
for 𝑡 → ∞; 𝑦(𝑡) → ∞
Thus, the output of the system increases without any bound. Therefore, the given system is an unstable system.
The output of the given system is
ℎ(𝑡) = 𝑒3𝑡𝑢(𝑡)
For stability of the system,
$$\mathrm{\int_{-\infty }^{\infty}\: \left | h(t) \right |dt=\int_{-\infty }^{\infty}\left | e^{3t}u(t) \right |dt=\int_{0 }^{\infty}\left | e^{3t} \right |dt}$$ $$\mathrm{\Rightarrow \int_{-\infty }^{\infty}\: \left | h(t) \right |dt=\left [ \frac{e^{3t}}{3} \right ]_{0}^{\infty }=\left [ \frac{e^{\infty }}{3}- \frac{e^{0}}{3}\right ]=\infty }$$The impulse response of the given system is not absolutely integrable. Therefore, the given system is an unstable system.
- Related Articles
- Signals and Systems: Static and Dynamic System
- Signals and Systems – Causal and Non-Causal System
- Signals and Systems – System Bandwidth Vs. Signal Bandwidth
- Signals and Systems – What is a Linear System?
- Signals and Systems: Even and Odd Signals
- Signals and Systems: Periodic and Aperiodic Signals
- Signals and Systems: Energy and Power Signals
- Signals and Systems – Classification of Signals
- Signals and Systems: Multiplication of Signals
- Signals and Systems – Symmetric Impulse Response of Linear-Phase System
- Signals and Systems – Response of Linear Time Invariant (LTI) System
- Signals and Systems: Classification of Systems
- Signals and Systems: Addition and Subtraction of Signals
- Signals and Systems: Real and Complex Exponential Signals
- Signals and Systems: Linear and Non-Linear Systems
