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When we have a system, there are three outcomes: stable, unstable, and marginally stable. Stable means that the system reaches a steady state, whereas unstable describes a system that explodes to infinity. Marginally stable is a distinct case where the system does not reach a steady state but remains bounded, such as a sinusoid.
Using the Laplace transfer function, we can plot the poles and zeros on the complex s-plane, where the x-axis represents the real values and the y-axis represents imaginary values. For example, consider the equation:
We solve for the s values. For the numerator, s = -0.5, which corresponds to a zero. For the denominator, s = -3 (double), -2, which correspond to poles. The plot below shows how we should plot this.
If all of the poles are in the left half-plane (LHP), the system is stable. This means that each pole has a negative real part and may or may not have an imaginary component as shown in the graph below. If a pole is purely real, the system response is a decaying exponential. If a pole is a complex number with a negative real part, the system exhibits oscillatory decay. Both are stable.
If any of the poles are in the right half-plane (RHP), the system is unstable. This means that at least one pole has a positive real part and may or may not have an imaginary component as shown in the graph below:
If any of the poles lie on the imaginary axis (with a real value of 0) and are not repeated, the system is marginally stable, as shown in the graph below: