Acados

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acados is a software package for nonlinear optimal control and model predictive control. It provides fast, embedded solvers for real-time applications, with interfaces for Python and MATLAB.

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At a glance

Pricing

—

Free tier

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API

Yes

Skill level

Technical

About

What is acados?

acados is a specialized software package designed for nonlinear optimal control and nonlinear model predictive control (NMPC). It focuses on delivering fast and embedded solvers, making it particularly suitable for real-time applications where computational efficiency is critical. The core of acados is written in C, ensuring high performance, and it offers convenient interfaces for popular programming languages such as Python and MATLAB, allowing a broader range of engineers and researchers to utilize its capabilities. Its design prioritizes deployment on embedded systems.

Best used for

Implementing high-performance nonlinear optimal control and model predictive control in real-time and embedded systems.

Common actions

Optimize control systems

Implement real-time control

Develop embedded applications

Model predictive control

Simulate dynamic systems

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Capabilities

Key features

Nonlinear optimal control
Model predictive control
Fast embedded solvers
Real-time applications
Python/MATLAB interfaces

Target Audience

Control engineersRobotics engineersResearchersEmbedded systems developers

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

What are the typical computational limits or problem sizes that acados can handle efficiently for real-time applications?

acados is optimized for real-time performance, often handling problems with hundreds of states and controls at kilohertz rates. The exact limits depend on the specific system dynamics, control horizon, and available hardware resources, but its C core and embedded focus allow for high efficiency.

Does acados support automatic code generation for embedded targets, or do I need to manually integrate the generated solvers?

acados generates highly optimized C code for its solvers, which is designed for direct integration into embedded systems. While it doesn't provide a full RTOS or hardware abstraction layer, the generated code is readily deployable with minimal manual adaptation for common embedded platforms.

What kind of systems or applications benefit most from using acados compared to other optimal control toolboxes?

acados excels in applications requiring high-rate, real-time nonlinear model predictive control on resource-constrained embedded hardware. This includes robotics, autonomous vehicles, aerospace, and fast mechatronic systems where computational speed and reliability are paramount.

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