Documentation

Learn Modeloop

Everything you need to design dynamic systems with block diagrams, simulate them in real time, and generate production-grade Python and MISRA C code — from your first model to advanced hierarchical architectures.

Start with the Introduction →

Getting Started

Introduction

What Modeloop is, how it thinks about dynamic systems, and the three pillars every model is built on: Blocks, Signals, and the Solver.

Quickstart

Build, simulate, and inspect your first Modeloop model — a low-pass filtered sine wave — in about five minutes.

Core Concepts

Blocks — The Operations

Blocks are the computational units of every model: what they are, how to configure and connect them, and the rules that govern them.

Signals — The Data

Signals carry typed data between blocks: the type system, connection rules, tensors, user-defined enumerations, and how signals cross component boundaries.

The Solver — The Heart

How Modeloop executes models: the fixed-step solver, deterministic data-flow ordering, hierarchical multi-rate scheduling, and algebraic loop rules.

Building Models

Model Hierarchy

Structure is optional but powerful: how to organize growing models with tasks and containers, and when a flat diagram is all you need.

Block Reference

The complete reference of Modeloop blocks: ports, parameters, and behavior for every block, organized by category.

State Charts

Event-driven logic with finite state machines: states, transitions, guards, actions, hierarchical superstates, and how charts execute inside the fixed-step solver.

Parameters & Data

Centralized parameter management: $references, workspace and model data contexts, user-defined types, and calibration data in generated code.

Modeling Guidelines

Conventions and best practices for models that stay readable, reviewable, and correct as they grow: structure, naming, types, feedback, and rates.