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Description
Software engineers usually compile source code and conduct tests on their personal computers. EngFlow Remote Execution enhances this process by distributing the builds and tests across a network of machines while also caching the outcomes remotely for quicker access. You can conveniently review your build and test results on multiple devices, whether it’s your desktop, laptop, or even a colleague's device. This innovation significantly improves the efficiency of remote collaboration. The console output tends to be complex and overwhelming, so we organize the data into distinct views to help you focus on what matters most. Additionally, one of these views features the complete console output, allowing you to watch it live as your builds and tests progress. Since build and test configurations can differ among machines, we supply the invocation details for each execution, including the platform, git branch, commit identifiers, and both explicit and implicit flags that were set. This information enables you to replicate a run for debugging purposes or to recreate a previous release accurately. Ultimately, this comprehensive approach streamlines the development process while ensuring clarity and precision in results.
Description
The Model Predictive Control Toolbox™ offers a comprehensive suite of functions, an intuitive app, Simulink® blocks, and practical reference examples to facilitate the development of model predictive control (MPC) systems. It caters to linear challenges by enabling the creation of implicit, explicit, adaptive, and gain-scheduled MPC strategies. For more complex nonlinear scenarios, users can execute both single-stage and multi-stage nonlinear MPC. Additionally, this toolbox includes deployable optimization solvers and permits the integration of custom solvers. Users can assess the effectiveness of their controllers through closed-loop simulations in MATLAB® and Simulink environments. For applications in automated driving, the toolbox also features MISRA C®- and ISO 26262-compliant blocks and examples, allowing for a swift initiation of projects related to lane keep assist, path planning, path following, and adaptive cruise control. You have the capability to design implicit, gain-scheduled, and adaptive MPC controllers that tackle quadratic programming (QP) problems, and you can generate an explicit MPC controller derived from an implicit design. Furthermore, the toolbox supports discrete control set MPC for handling mixed-integer QP challenges, thus broadening its applicability in diverse control systems. With these extensive features, the toolbox ensures that both novice and experienced users can effectively implement advanced control strategies.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon
Yes
Bamboo
Yes
CircleCI
Yes
GitHub
Yes
GitLab
Yes
Google Cloud Platform
Yes
Jenkins
Yes
Kubernetes
Yes
MacStadium
Yes
Microsoft Azure
Yes
Integrations
Amazon
No
Bamboo
No
CircleCI
No
GitHub
No
GitLab
No
Google Cloud Platform
No
Jenkins
No
Kubernetes
No
MacStadium
No
Microsoft Azure
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Pricing Details
$1,180 per year
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
EngFlow
Founded
2020
Country
United States
Website
www.engflow.com
Vendor Details
Company Name
MathWorks
Country
United States
Website
www.mathworks.com/products/model-predictive-control.html
Product Features
Application Development
Access Controls/Permissions
No
Code Assistance
No
Code Refactoring
No
Collaboration Tools
No
Compatibility Testing
No
Data Modeling
No
Debugging
No
Deployment Management
No
Graphical User Interface
No
Mobile Development
No
No-Code
No
Reporting/Analytics
No
Software Development
No
Source Control
No
Testing Management
No
Version Control
No
Web App Development
No
Software Testing
Automated Testing
No
Black-Box Testing
No
Dynamic Testing
No
Issue Tracking
No
Manual Testing
No
Quality Assurance Planning
No
Reporting / Analytics
No
Static Testing
No
Test Case Management
No
Variable Testing Methods
No
White-Box Testing
No
