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What is the formula for rise time?

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Rise time is an important parameter in electronics and signal processing that indicates how quickly a signal transitions from a low to a high value. Specifically, it's the time it takes for a signal to rise from a defined low percentage (often 10%) to a defined high percentage (often 90%) of its final value.

Here's a general approach to calculating rise time:

1. **Identify the Signal's Characteristics**: Determine the signal's amplitude and the percentages used for the rise time measurement. Commonly, rise time is measured between 10% and 90% of the signal’s final value.

2. **Determine the Signal's Frequency Response**: In systems where frequency response is a factor, such as in filters or amplifiers, the rise time can be related to the bandwidth of the system.

3. **Use the Rise Time Formula**:

   For a simple, idealized signal, rise time (\( t_r \)) can be approximated using the following formula:

   \[
   t_r = \frac{0.35}{f_{3dB}}
   \]

   where \( f_{3dB} \) is the 3dB bandwidth of the system. This formula applies to first-order low-pass systems and is derived from the system’s step response characteristics.

4. **For a More General Case**: In more complex systems or with non-ideal signals, rise time can be measured directly from the signal's time-domain response by observing the time it takes for the signal to rise from 10% to 90% of its final value.

5. **For a Specific Case—Step Response of a Second-Order System**: For systems with a second-order response, such as those with underdamping, the rise time is often approximated by:

   \[
   t_r \approx \frac{1.8}{\omega_n}
   \]

   where \( \omega_n \) is the natural frequency of the system. This approximation assumes a specific damping ratio and that the system is critically damped or underdamped.

In summary, the rise time formula depends on the context and type of system you're dealing with. For practical purposes, measuring rise time from the signal’s time-domain response can be straightforward, but understanding the underlying system's bandwidth or frequency response can give more insight into the rise time behavior.
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Rise time is a key parameter in signal processing and control systems that measures how quickly a signal or system responds to a change in input. It is typically defined as the time it takes for a signal to go from a specified low value to a high value.

For a step response in a system, rise time (\( t_r \)) is often defined as the time it takes for the signal to rise from 10% to 90% of its final value. This is particularly relevant in the context of first-order and second-order systems.

### For a First-Order System

In a first-order system, such as a simple RC or RL circuit, the rise time can be approximated using the time constant (\( \tau \)) of the system. The time constant is given by:

\[ \tau = RC \text{ (for an RC circuit)} \]
\[ \tau = \frac{L}{R} \text{ (for an RL circuit)} \]

The rise time (\( t_r \)) for a first-order system is approximately:

\[ t_r \approx 2.2 \tau \]

This value comes from the system reaching 90% of the final value by this time, which is a common rule of thumb.

### For a Second-Order System

For a second-order system, such as an underdamped system with a transfer function of the form:

\[ H(s) = \frac{\omega_n^2}{s^2 + 2 \zeta \omega_n s + \omega_n^2} \]

where \( \omega_n \) is the natural frequency and \( \zeta \) is the damping ratio, the rise time can be more complex and is influenced by both the natural frequency and the damping ratio.

For a typical second-order underdamped system (with \( \zeta < 1 \)), the rise time can be approximated by:

\[ t_r \approx \frac{\pi - \arccos(\zeta)}{\omega_n \sqrt{1 - \zeta^2}} \]

This formula assumes that the system is not overdamped or critically damped. For overdamped or critically damped systems, the rise time will be longer and depends on the specific nature of the damping and the poles of the system.

In practice, the exact rise time can be influenced by various factors, including the input signal type and system nonlinearities.
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