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Description
AVEVA APC is an innovative model predictive advanced process control solution designed to enhance process profitability. In the current economic landscape, manufacturers encounter challenges such as constrained capital budgets, escalating manufacturing and energy expenses, and fierce global competition. AVEVA's Comprehensive Advanced Process Control equips businesses to tackle intricate manufacturing issues with cutting-edge automatic control solutions, maximizing value extraction from their operations. This technology not only boosts production yield and quality but also minimizes energy consumption. By facilitating the optimization of manufacturing activities, it enables continuous performance enhancements crucial for improving overall financial outcomes. AVEVA APC stands out as a holistic software solution that leverages advanced technology to create automatic control systems capable of unlocking the full potential of manufacturing processes. Ultimately, this empowers manufacturers to thrive in a highly competitive market while achieving sustainable growth.
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
API Access
Has API
Integrations
LLumin
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$1,180 per year
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
AVEVA
Country
United Kingdom
Website
www.aveva.com/en/products/apc/
Vendor Details
Company Name
MathWorks
Country
United States
Website
www.mathworks.com/products/model-predictive-control.html