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What is Moodby Play?

Founded in 2019, Moodby Play is a business-to-business music streaming service that boasts an extensive array of playlists and custom stations created by professional DJs, which are updated frequently to keep the content fresh. This platform offers a vast library of commercially licensed tracks, making it suitable for various establishments such as bars, restaurants, hotels, retail stores, and gyms. With Moodby Play, you can take charge of your background music, crafting a welcoming environment that enhances customer enjoyment and may even drive up your sales through strategic musical selections. Moodby Play features include: - Centralized music management - Pre-scheduled playlists and stations - Device compatibility - Explicit lyric filtering - An ad-free listening experience - Options to skip or block specific songs - Easy setup with no extra hardware required - Offline mode for uninterrupted playback - A jukebox app that not only entertains guests but also creates potential revenue opportunities Why not start your journey with a complimentary 14-day trial? This allows you to experience all that Moodby Play has to offer and discover how it can elevate the ambiance of your venue, ensuring every visit is memorable for your patrons.

What is Model Predictive Control Toolbox?

The Model Predictive Control Toolbox™ provides an extensive array of functions, an easy-to-use app, Simulink® blocks, and useful reference examples to streamline the development of model predictive control (MPC) systems. It effectively addresses linear problems by allowing the development of implicit, explicit, adaptive, and gain-scheduled MPC approaches. For more intricate nonlinear situations, users can implement both single-stage and multi-stage nonlinear MPC. Moreover, this toolbox comes equipped with deployable optimization solvers and allows for the incorporation of custom solvers as needed. Users can evaluate the performance of their controllers through closed-loop simulations within MATLAB® and Simulink environments. In the context of automated driving, the toolbox offers blocks and examples that comply with MISRA C® and ISO 26262 standards, which facilitates the rapid start of projects related to lane keeping assistance, path planning, path following, and adaptive cruise control. It enables the design of implicit, gain-scheduled, and adaptive MPC controllers that can solve quadratic programming (QP) problems while also facilitating the generation of explicit MPC controllers based on implicit designs. Furthermore, the toolbox accommodates discrete control set MPC for addressing mixed-integer QP challenges, thus expanding its versatility for various control systems. With its rich set of features, the toolbox guarantees that both beginners and seasoned professionals can successfully apply advanced control strategies in their projects. This versatility ensures that users across multiple domains can find relevant applications for their specific needs.

Media

No images available

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$1,180 per year
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Moodby

Date Founded

2019

Company Location

Cyprus

Company Website

moodby.com

Company Facts

Organization Name

MathWorks

Company Location

United States

Company Website

www.mathworks.com/products/model-predictive-control.html

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