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ease
features
design
support

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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

Screenshots View All

Screenshots View All

Integrations

Care Director
EPIC HRMS
MEDITECH Expanse

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

Patient Management

Admissions Management
Bed Management
Discharge Management
Historical Reporting
Patient Flow Management
Patient Location Tracking
Patient Monitoring
Real Time Reporting
Waiting Time Tracking

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