Related Products
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About
Model Predictive Control Toolbox™ provides functions, an app, Simulink® blocks, and reference examples for developing model predictive control (MPC). For linear problems, the toolbox supports the design of implicit, explicit, adaptive, and gain-scheduled MPC. For nonlinear problems, you can implement single- and multi-stage nonlinear MPC. The toolbox provides deployable optimization solvers and also enables you to use a custom solver. You can evaluate controller performance in MATLAB® and Simulink by running closed-loop simulations. For automated driving, you can also use the provided MISRA C®- and ISO 26262-compliant blocks and examples to quickly get started with lane keep assist, path planning, path following, and adaptive cruise control applications. Design implicit, gain-scheduled, and adaptive MPC controllers that solve a quadratic programming (QP) problem. Generate an explicit MPC controller from an implicit design. Use discrete control set MPC for mixed-integer QP problems.
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About
The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.
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About
RunMat (by Dystr) is a fast, free, open-source alternative for running MATLAB code.
Users can run their existing MATLAB code with complete language grammar and core semantics. No license fees, no lock-in.
RunMat is built with a modern compiler, which enables blazing-fast calculations. It boots in 5 milliseconds, GPU optimization is enabled by default, and it's a single, compact, cross-platform binary.
Typical engineering use cases
- Controls/signal processing & numerics: accelerate MATLAB-style loops plus heavy linear algebra; enjoy faster iteration due to instant startup and tiered JIT.
- Batch/CI & serverless jobs: snapshots + compact binaries make it easy to run .m workloads in containers or ephemeral runners at scale.
- Plot-heavy workflows: interactive GPU plots for exploratory analysis and reportable exports for stakeholders.
- Education: remove license friction and start labs instantly; Jupyter kernel supports reproducible worksheets.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
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Audience
Companies looking for a solution to design and simulate model predictive controllers
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Audience
Developers interested in a beautiful but advanced programming language
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Audience
Engineers, Scientists, Researchers
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
$1,180 per year
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
$0
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationMathWorks
United States
www.mathworks.com/products/model-predictive-control.html
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Company InformationPython
Founded: 1991
www.python.org
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Company InformationDystr
Founded: 2020
United States
runmat.org
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Categories |
Categories |
Categories |
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Computer-Aided Engineering (CAE) Features
CAD/CAM Compatibility
Finite Element Analysis
Fluid Dynamics
Import / Export Files
Integrated 3D Modeling
Manufacturing Process Simulation
Mechanical Event Simulation
Multibody Dynamics
Thermal Analysis
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Integrations
CoppeliaSim
DataWorks
Databricks Data Intelligence Platform
ERNIE X1
EmEditor
GPT-5.2 Thinking
Idealogic
LLM Guard
Metorial
Meya
|
Integrations
CoppeliaSim
DataWorks
Databricks Data Intelligence Platform
ERNIE X1
EmEditor
GPT-5.2 Thinking
Idealogic
LLM Guard
Metorial
Meya
|
Integrations
CoppeliaSim
DataWorks
Databricks Data Intelligence Platform
ERNIE X1
EmEditor
GPT-5.2 Thinking
Idealogic
LLM Guard
Metorial
Meya
|
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