Final Value Theorem:
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The Final Value Theorem is a mathematical tool used in control theory and signal processing to determine the steady-state value of a function from its Laplace transform. It states that the limit of a function f(t) as time approaches infinity equals the limit of s times its Laplace transform F(s) as s approaches zero.
The calculator uses the Final Value Theorem:
Where:
Explanation: The theorem provides the steady-state value of a system without needing to compute the inverse Laplace transform.
Details: This theorem is crucial in control systems engineering for determining the steady-state error of systems, analyzing system stability, and predicting long-term behavior of dynamic systems.
Tips: Enter the Laplace transform F(s) in the input field. The calculator will compute the limit of s*F(s) as s approaches 0 to find the final value.
Q1: When does the Final Value Theorem not apply?
A: The theorem doesn't apply when F(s) has poles in the right half of the s-plane or on the imaginary axis, except for a single pole at the origin.
Q2: What are the limitations of this theorem?
A: It only provides the steady-state value and doesn't give information about the transient response or how quickly the system reaches steady state.
Q3: Can this theorem be used for oscillatory systems?
A: For systems with purely imaginary poles, the final value may not exist as the system oscillates indefinitely.
Q4: How is this different from the Initial Value Theorem?
A: The Initial Value Theorem gives the value of f(t) at t=0+, while the Final Value Theorem gives the value as t approaches infinity.
Q5: What types of systems benefit most from this theorem?
A: Stable systems with well-defined steady-state responses, particularly in control systems and circuit analysis.