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Rise time

As explained in Optimization Algorithms: AI techniques for design, planning, and control problems

Rise time is the time required for a response to increase from 10% to 90% of its final value.

Rise time measures how quickly a system response moves from 10% to 90% of its final value. section 8.7

In PID control, it evaluates transient response alongside overshoot, settling time, and steady-state error. A heater’s step response provides a practical example. section 8.7

Measuring a simulated response

A Python control simulation computes a transfer function, generates its step response, and reports RiseTime through control.step_info alongside settling time and overshoot.

How Optimization Algorithms: AI techniques for design, planning, and control problems covers it

How deep it goes
Defines the 10–90% measurement and relates parameter changes to response behavior, but does not derive the metric mathematically.
Examples
Uses a heater step response and Python control.step_info output showing RiseTime alongside other response statistics.
What it assumes
Assumes familiarity with system responses and PID parameters while defining rise time explicitly.
What you can do after
Diagnose PID response speed and compare parameter settings using simulated step-response measurements.
How it connects
Links rise time to PID control, step response, overshoot, settling time, and steady-state error.
Cover of Optimization Algorithms: AI techniques for design, planning, and control problems
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This explainer was generated by Manning's knowledge graph from the text of Optimization Algorithms: AI techniques for design, planning, and control problems. The section links point to the parts of the book it draws on.