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Average Ratings 0 Ratings

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ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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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

An organization's continuous improvement strategy includes the ability to effectively track issues, concerns, knowledge, and other information. Management will want to know if the team is working on resolving the customer's issue on priority when a customer raises an issue. Omnex's Problem Solver is a tool and knowledge bank that allows customers to track, manage and resolve problems. Problem Solver is a single repository for all internal and external problems. We have designed our software to address a variety quality assurance (external, internal, environmental, health, safety, and other issues). Define metrics and timelines for problem resolution. This includes: containment, corrections, corrective actions, reporting, and closure. Give suppliers the ability to take corrective action.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

$1,180 per year
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
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 Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

MathWorks

Country

United States

Website

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

Vendor Details

Company Name

Omnex Systems

Founded

1986

Country

United States

Website

www.omnexsystems.com

Product Features

Issue Tracking

Assignment Management Yes 
Dashboard Yes 
Escalation Management Yes 
Issue Auditing Yes 
Issue Scheduling Yes 
Knowledge Base Yes 
Project Management Yes 
Recurring Issues Yes 
Scheduling Yes 
Task Management Yes 

Knowledge Management

Artificial Intelligence (AI) No 
Cataloging / Categorization Yes 
Collaboration Yes 
Content Management Yes 
Decision Tree Yes 
Discussion Boards Yes 
Full Text Search Yes 
Knowledge Base Management Yes 
Self Service Portal Yes 

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