# Instrumentation and control engineering
## MicroSim spec
- **Recommended sim type:** time-series controller
- **Microsimmability score:** 56/100
- **Layout:** drawing region (canvas) on top; control region (sliders/buttons) below.
### Parameters (tunable controls)
- `Sensor lag - 0 to 10 s`
- `Controller gain Kp - 0 to 10`
- `Measurement noise - 0 to 20 %`
### What animates
A noisy measurement is filtered and fed to a controller that holds a variable at setpoint; sensor lag and gain visibly trade tracking against stability over time.
### Learning objective
See how sensor dynamics and controller tuning affect closed-loop performance.
## Links (Wikipedia order)
<!-- injected from _registry/childlinks/Instrumentation_and_control_engineering.json (2026-07-30T02:09:12Z) -->
[[Artificial_intelligence]] · [[Biomedical_engineering]] · [[Chemical_engineering]] · [[Computer_engineering]] · [[Control_engineering]] · `Control_loop` · [[Control_system]] · [[Control_theory]] · [[Digital_signal_processing]] · [[Engineering]] · [[Fluid_dynamics]] · [[Force]] · `Human–computer_interaction` · `Humidity` · [[Industrial_engineering]] · `Instrumentation` · `Instrumentation_in_petrochemical_industries` · `International_Society_of_Automation` · [[List_of_engineering_branches]] · `List_of_sensors` · [[Machine_learning]] · [[Manufacturing]] · `Measurement` · `Metrology` · `PH` · `Parameter` · `Pressure` · `Process_variable` · `Programmable_logic_controller` · [[Robotics]] · `SCADA` · [[Signal_processing]] · `Speed` · [[System]] · [[System_dynamics]] · `Temperature`
> p5.js MicroSim stub · part of Process Engineering · [Wikipedia source](https://en.wikipedia.org/wiki/Instrumentation_and_control_engineering)
> Relation: subfield of process engineering.
## Concept summary
Instrumentation and control engineering specifies the sensors, transmitters, and controllers that measure and regulate process variables.
## Build checklist
- [ ] Claim it: set `status: in-progress` + `lease` + `leased_at`
- [ ] Write the child page explaining the concept (tie it back to process engineering)
- [ ] Finalize parameter ranges and defaults
- [ ] Implement the p5.js sketch (drawing + control regions)
- [ ] Add caption + the learning objective on the page
- [ ] Set `status: done`
## p5.js sketch
```javascript
// MicroSim: Instrumentation and control engineering
let controls = {};
function setup() {
// createCanvas(...); create sliders for the parameters above.
}
function draw() {
// background(...); read controls; render time-series controller; respond live.
}
```
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Back to Process Engineering · Wikipedia: [Instrumentation and control engineering](https://en.wikipedia.org/wiki/Instrumentation_and_control_engineering)
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## Semiotic profile
> *The semiotic universals this article invokes, machine-derived from the crossref — **unverified** (born so). Populated 2026-07-06 for the Systems room.*
**Universals (5):** 🟢 control loop (7) · 🟢 measurement (3) · 🟢 filter (1) · 🟢 noise (1) · 🟢 stability (1)
**Enter by sign:** Systems Semiotic Gateway · Alphabetum · Icon Registry · ← Systems Portal
<!-- SEMIOTIC-PROFILE:END -->
<!-- REAL-GENERATIVE-MEDIA:START -->
## From the Real GENERATIVE library
> Instrumentation and control engineering (ICE) is a branch of engineering that studies the measurement and control of process variables, and the design and implementation of systems that incorporate them. Process variables include pressure, temperature, humidity, flow, pH, force and speed. ([Wikipedia](https://en.wikipedia.org/wiki/Instrumentation_and_control_engineering))
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## Wikipedia : Wikitube
**Strict pair:** [Wikipedia](https://en.wikipedia.org/wiki/Instrumentation_and_control_engineering) : [Wikitube](https://en.wikitube.io/wiki/Instrumentation_and_control_engineering)
## Previous hub tags
Tree parents: [[Reliability_engineering]] · [[Systems_engineering]].
Legacy hubs: none.
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*Sources: 1 legacy note. Minted wave 1, 2026-07-30 (v1.6 order).*