MATLAB Central Blogs Feeds | MATLAB Central Blogs - MATLAB & Simulink

What Does a Spacecraft Instrument Really See?

Wed, 15 Jul 2026 00:00:00 +0000

Mike’s pick this week is spacecraft-vector-intersection by George Xystouris nominated by Kostas Leptokaropoulos

What does an instrument actually see during flight? For fixed cameras this may be straightforward, but for rotating particle instruments, or for any case where a generalized vector such as sunlight or plasma flow

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On scaling Model-Based Design into the Cloud

Tue, 14 Jul 2026 00:00:00 +0000

For this blog, I've collaborated extensively with Gandharv Kashinath, who is a Principal Product Manager at MathWorks and a guru when it comes to running MATLAB in the cloud.

Have you kicked off a parameter sweep on Friday afternoon knowing full well it will not finish before Monday? Or watched a regression suite queue

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Objects are about to get much faster in MATLAB

Tue, 14 Jul 2026 00:00:00 +0000

The MATLAB R2026b pre-release is available now and it includes a completely new object management system that is not turned on by default. When switched on, the new system promises to make object oriented MATLAB code faster without the need to change any code (most of the time). Sometimes, it will be much faster!

This is a big change to the language execution back-end of MATLAB and there's a lot to

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How Model-Based Design Workflows Help Teams Build Better Products Faster

Tue, 14 Jul 2026 00:00:00 +0000

Today’s guest post was written by Gaurav Dubey, Consulting Application Engineer Startups operate in an environment defined by compressed timelines, limited resources, and high expectations. Small engineering teams take on work that once required full organizations. They are responsible for building embedded software, electronics, cloud systems, and AI systems, while ensuring safety, reliability, and scalability, all while moving at startup speed. The challenge grows in industries like electric mobility, robotics, aerospace, medical devices, industrial automation, and energy systems. These products are no longer simple mechanical machines or standalone applications. They are intelligent cyber-physical systems that combine software, electronics, physics, connectivity, and increasingly, AI. As complexity increases, the traditional “build first, debug later” approach begins to break down.

Automating the Unpredictable: Buckeye AutoDrive’s Random Obstacle Trajectory Generation

Mon, 13 Jul 2026 00:00:00 +0000

Today we are joined by students from The Ohio State University's SAE AutoDrive II team - Buckeye AutoDrive.

Representing the Center for Automotive Research (CAR) and the Ohio State Department of Electrical and Computer Engineering (ECE), the Senior Design Capstone Program has partnered with Buckeye AutoDrive to bridge the gap between theory and

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Developing a Mass Spring Damper App using MVC Architecture and Simulink

Mon, 13 Jul 2026 00:00:00 +0000

Guest Writers Ken Deeley

Ken is an application engineer in Cambridge, UK, supporting MathWorks users with their technical computing projects. Ken joined the MathWorks customer training team in 2011 after research work in mathematics with applications to motion planning for autonomous guided vehicle (AGV) robotics. Ken specializes in software development, machine learning, and financial applications, with a particular focus on graphics and app development. He enjoys training MathWorks users on best practices, working with customers on consulting projects, and capturing common customer workflows and requirements to inform future MathWorks development activities.

From Models to Binaries: Where the Software Bill of Materials Fits in the Digital Thread

Thu, 09 Jul 2026 00:00:00 +0000

In brief: This article explains why an SBOM is more useful when it is treated as part of the engineering workflow, not only as a release-time compliance artifact. It looks at where SBOM fits from software architecture through binaries, how it depends on connected sources of truth, and why the surrounding digital thread determines whether teams can act on what the SBOM tells them. why SBOM is valuable, but limited, if it appears only at the end of the workflow; how earlier lifecycle context can make SBOM more useful for risk, change impact, verification, and release decisions; how system architecture, models, code, tests, Git, ALM, and PLM each contribute different sources of truth; and why the key question is not simply whether a team has an SBOM, but whether the engineering workflow makes it actionable. Introduction Over the past few years, I have heard more customers ask where a software bill of materials, or SBOM, fits in an engineered system. The question...

Sankey diagrams in MATLAB

Thu, 09 Jul 2026 00:00:00 +0000

Mike's pick this week is sankey plot by Zhaoxu Liu / slandarer nominated by Yair Altman. 

Sankey diagrams visualize flows, of energy, money, materials, people,

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From PyTorch to Jetson via Simulink: Deploying YOLOv26 Instance Segmentation with Code Generation

Mon, 06 Jul 2026 00:00:00 +0000

Guest blogger: Bill ChouBill Chou has spent more than 20 years at MathWorks working on code generation technologies. As a Product Manager for MATLAB Coder, GPU Coder, and deep learning code generation, he helps engineers deploy applications in controls, signal and audio processing, embedded vision, and machine learning across workstations, edge devices, and embedded targets.

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My Scuba Diving Simulator

Thu, 02 Jul 2026 00:00:00 +0000

I recently took a week of vacation to go scuba diving in the Caribbean. In the middle of a dive, at about 80 feet down, this idea came to my mind: I need to make a scuba diving simulator!

Bio: Today's guest blogger is Jack Erickson. Jack is a product manager for Symbolic Math Toolbox and Quantum Computing at MathWorks. He was previously in AI software developer marketing at Intel.

Engineers communicate in diagrams;

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Version Control for Economic Models

Wed, 24 Jun 2026 00:00:00 +0000

A Practical Guide to Git in MATLAB

The Problem You Already Have

You know the folder. Somewhere on your machine there is a directory that looks like this:

A familiar sight: version history encoded in file names

Every economist who writes code recognises this. You start a model, iterate on it, share it with a co-author, and within weeks, the naming conventions have collapsed. Which file is the current one? Which one did you send to the referee? Nobody knows — least of all you, six months from now.

This creates four problems that compound over time:

The naming problem. File...

MathWorks Automotive Conference and Model Referencing

Mon, 22 Jun 2026 00:00:00 +0000

I recently attended the MathWorks Automotive Conference. This was a great opportunity to connect with industry experts and see how they use

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MathWorks Minidrone Competition – Europe 2025: Model‑Based Design for Autonomous UAVs

Mon, 22 Jun 2026 00:00:00 +0000

The MathWorks Cambridge office hosted the Europe 2025 edition of the MathWorks Minidrone Competition, welcoming students from universities across Europe. The 2025 edition drew applications from over 40 student teams.

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MATLAB でローカル Agentic AI ワークフローを動かす: 16GB MacBook Pro、LM Studio、gemma 4 を使った方法

Thu, 18 Jun 2026 00:00:00 +0000

※この投稿は 2026 年 6 月 15 日に The MATLAB Blog へ投稿されたものの抄訳です。 --

今年の1月に 128GB の NVIDIA DGX Spark 上で 1200億パラメータの LLM を動かし、それを MATLAB に接続する方法を紹介しました。私の同僚である Abhijit Bhattacharjee はすぐに続いて、同じモデルとハードウェアを OpenCode と MATLAB MCP

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On parameter estimation, sensitivity analysis, and design optimization

Thu, 18 Jun 2026 00:00:00 +0000

For this blog, I've worked extensively with Dr. Aycan Hacioglu - Chemical Engineering Academic Discipline Manager at MathWorks.

When designing any engineering system, there are parameters we don't fully know. In mechanical systems it might be damping coefficients or contact stiffness. In thermal systems, heat

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MCP で実現する、ローカル AI エージェントによる MATLAB 活用

Wed, 17 Jun 2026 00:00:00 +0000

※この投稿は 2026 年 1 月 21 日に  Artificial Intelligence へ 投稿されたものの抄訳です。

Guest writer: Abhijit Bhattacharjee

Abhijit は MathWorks のアプリケーションエンジニアで、AI

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