Model-Based Design Positions Startups for Success - MATLAB & Simulink
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    Model-Based Design Positions Startups for Success

    Startups face many challenges when turning technical ideas into reality. How do you accelerate development cycles, cut costs, increase productivity, and take an idea from concept to production?

    You will hear from startup founders and engineers on:

    • Why they adopted Model-Based Design
    • The benefits they’ve seen from adopting Model-Based Design
    • How Model-Based Design helped them address their engineering challenges

    Get started today and learn how you can:

    • Get access to MATLAB® and Simulink® through the Startup and Accelerator Programs
    • Leverage MathWorks technical expertise to start adopting Model-Based Design

    Published: 6 Feb 2024

    Startups face many challenges when turning technical ideas into reality. How do you accelerate development cycles, cut costs, increase productivity, and take an idea from concept to production? In this video, we're going to hear from startup founders and engineers on why they adopted model-based design, the benefits they've seen, and how it helped them address their challenges.

    Model-based design enables simulations of system behavior across multiple domains and applications. With models, you can link architecture and requirements to design, evaluate design trade-offs, automatically generate code for hardware implementation, and perform continuous verification and validation. For startups like Dynisma, building a prototype that can meet technical specifications helps demonstrate product value and feasibility to investors, suppliers, and prospective customers in an early stage.

    We were able to use that to attract investors and demonstrate how we had a product that was going to dramatically change what could be offered into the market. And we were able to demonstrate way back then, before we'd ever built anything, how and why our systems were going to be able to offer a significant performance differentiator over the products in the market. And that was key to us getting private investment into the business.

    That's because with model-based design, you can create massive design studies, incorporate AI models, and optimize design performance by using models as virtual prototypes. This offers an early view of software and physical systems integration, accelerates your design iteration cycles, and helps you quickly converge to a key set of designs. Ultimately, this leads to faster prototyping and testing of various concepts.

    MathWorks tools work really well in that environment where you have to work quickly. We evaluate so many new concepts on a daily basis, and the fact that we can simulate them and come to quick conclusions just means that we can come up with quick answers to questions and move really quickly.

    Once you have the design ready, how do you implement it in software? You can automatically generate code from your models. We also provide hardware integration support for deployment on supported hardware targets. This has been crucial for Boston Metal as they develop technology to decarbonize steel production.

    That allows us to skip this hand-coding step that would require, say, a software engineering team. Instead, what we're doing is we're taking our control system design that is implemented as a Simulink model and use automatic code generation from the MathWorks to go onto the target.

    With model-based design, you shift resources from physical testing to virtual testing. You'll be able to answer what-if questions, cut testing costs, and eliminate entire categories of errors before testing products in real-world conditions.

    We've been able to test the control software to make sure that it's functionally correct, and also, to make sure that the performance of it is correct before we've even turned the system on. You can turn the system on, and something that took you months to develop, you can turn on in an hour and it will just work. It's fantastic.

    For startups, like Range Aero, developing safety critical applications, system software must adhere to functional safety standards. Model-based design provides tools for you to check whether your model and the code you generate from it complies with industry standards.

    End of the day, it will make you safer. Being in aviation, your hardware can crash if it is not safe. So the major advantage is, without even putting lives at risk, without putting hardware at risk, you can develop and test the approach.

    With model-based design, savings of 40% to 50% are often realized, compared to traditional methods across the system engineering, development, and testing phases.

    Making a change in Simulink to our control design to run the test, run the closed loop simulation, run some test harnesses to test it out, to automated code generation to the target within a day. So that is very powerful, extremely powerful. The powerful tools that the MathWorks provides is a lifesaver.

    MathWorks has partnered with startup teams in different industries to adopt model-based design and deliver innovations quickly, cost effectively, and efficiently, scaling products from ideas to production. We offer support and resources to the startup and accelerator programs. sync2brain was able to equip their team with the tools they needed to develop potential brain stimulation therapies.

    The special situation in the startup is that resources are very limited in the beginning. You have your idea you're trying to get going, but you don't have a lot of money. You don't have a lot of people. And you want to test your idea first. And the startup program from MathWorks really helps to get started, because prices are not too high, but also, you have access to engineers, to people with a lot of knowledge for these tools.

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