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This 1 hr webinar provides a technical overview on security challenges in the aerospace and defence domain. The seminar will cover state-of-the-art methods for the mitigation of security threats. We will highlight the strengths of model-based design to attain security across different stages of product life-cycle management. We will also relate to important requirements of the DO-326 set.

In this webinar, MathWorks and Hydro-Québec will discuss how modeling and simulation support the development of microgrid systems that contain renewable energy and energy storage. Through a worked example of a representative grid-connected microgrid, both grid-forming and grid-following operation will be considered.

Engineers who work on autonomous mobile robots (AMRs) often run into different challenges. In this talk, we will address these common challenges by showing how MATLAB and Simulink can help to implement an integrated AMR design workflow.

Conceptually, a good model is free of biases and robust in the face of uncertainty. In reality, executing a model risk management framework can be complex to manage people, processes, and systems effectively. Learn practical techniques on how to include AI and machine learning algorithms into your model risk management framework.

Assessing radar performance in a representative environment, where the reflections from surrounding surfaces are considered is critical to ensure that a radar system design meets its performance requirements. In this webinar, we will demonstrate how to model surface reflections from land and sea in a radar scenario.

Positioning and Localization have a big role to play in the next generation of wireless applications. Positioning is finding the location co-ordinates of the device, whereas localization is a feature-based technique where you get to know the environment in a specific geography. There are various approaches taken by different standards such as 5G/ WLAN/ Bluetooth/ UWB to identify the position of the device. In this webinar, we will discuss various techniques used to design a system which determine the position of the user.

Sign up for this live Q&A session to get answers to your questions about predictive maintenance with MATLAB, such as data management, signal processing, AI modeling, integration with open source, etc.

Sign up for this live Q&A session to get answers to your questions about predictive maintenance with MATLAB, such as data management, signal processing, AI modeling, integration with open source, etc.

Multi-function sensors, improved sensor fusion capabilities, etc. require new methodologies, tools and development environments to maximize the final success next generation projects. Join us in this webinar to know more about the design and implementation of a multi-function radar system using all capabilities provided by MathWorks tools and methods.