Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Moving past isolated solutions and temporary process efforts, the Qventus platform offers an extensive array of technologies aimed at fostering ongoing operational enhancement. It seamlessly integrates with your current infrastructure, equipping you with all the necessary tools to establish a comprehensive closed-loop system for operational management. As the healthcare sector's pioneering closed-loop system for operations management, Qventus stands out in its ability to not only identify but also predict potential issues across different timeframes—past, present, and future—before they arise. Achieving this requires a diverse suite of technologies, including integration with electronic health records (EHRs) and various other systems, advanced data analytics, artificial intelligence, and machine learning for immediate identification and forecasting, along with situational awareness tools that offer real-time visibility across multiple organizational tiers. However, merely detecting issues is insufficient; it is equally important to provide support to frontline teams, ensuring they have the resources and information necessary to address challenges effectively. This holistic approach enables organizations to enhance their operational efficiency while improving patient care outcomes.
API Access
Has API
API Access
Has API
Integrations
Care Director
EPIC HRMS
MEDITECH Expanse
Pricing Details
$1,180 per year
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
MathWorks
Country
United States
Website
www.mathworks.com/products/model-predictive-control.html
Vendor Details
Company Name
Qventus
Country
United States
Website
qventus.com/platform/
Product Features
Product Features
Patient Management
Admissions Management
Bed Management
Discharge Management
Historical Reporting
Patient Flow Management
Patient Location Tracking
Patient Monitoring
Real Time Reporting
Waiting Time Tracking