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Blending AI and fuzzy logic in control design
Engineers are increasingly merging AI techniques with fuzzy logic to create adaptive, explainable, and reliable control systems. From robotics to renewable energy, hybrid architectures combine ...
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Master real-time control with MATLAB and Simulink
MATLAB and Simulink empower engineers to design, simulate, and deploy control systems seamlessly from concept to real-time operation. With hardware-in-the-loop testing, embedded code generation, and ...
If you mention the word bus, you might think of public transportation or, more likely for us, a way to connect things ...
MathWorks has released Release 2026a (R2026a) of the MATLAB® and Simulink® product families, adding Simulink® Copilot and ...
I sat down to chat with Valve developers Pierre-Loup Griffais and Jeff Mucha to talk about the new Steam Controller. We ...
Engineers at the Ecole Polytechnique Fédérale de Lausanne have developed a new framework that makes it possible to teach ...
Abstract: This work focuses on the design and implementation of an autonomous flight control system for a MATLAB-based Minidrone using the Parrot Support Package. The primary objective is to develop a ...
Abstract: In order to solve the incomprehensibility of error control coding principle, and avoid the negative effects brought by the use of traditional experimental ...
Basic Luenberger observer implementation for both continuous-time and discrete-time LTI systems. Demonstrates observer gain design via pole placement and the ...
In this tutorial, we build an advanced multi-agent communication system using a structured message bus architecture powered by LangGraph and Pydantic. We define a strict ACP-style message schema that ...
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