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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
SSPLAX is an intuitive no-code visual platform designed for the modeling and resolution of constrained operational decisions. Users can create models represented as networks, where stages, resources, and outcomes function as nodes, while routes, processes, and decisions act as edges. After constructing their models, users set an objective and specify constraints, which can include factors such as capacity, budget, labor, materials, and policy. The platform then transforms the model into a linear or mixed-integer optimization challenge, provides solutions, and elucidates the results by identifying which constraints hinder the outcome, explaining the reasons for target infeasibility, suggesting minor adjustments for maximum improvement, and assessing whether additional budget or capacity generates value or merely shifts the bottleneck. Furthermore, it enables tasks like assignment, blending and formulation, capacity allocation, and project portfolio selection. Users have the ability to compare different scenarios and analyze how recommendations shift under various conditions. Practical examples span diverse industries such as manufacturing, life sciences, artificial intelligence infrastructure, and decarbonization efforts. Notably, SSPLAX is versatile, accessible through a browser, and requires no installation or setup, making it an efficient tool for any user. Overall, its comprehensive functionality ensures that users can make informed decisions based on their unique operational challenges.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
$1,180 per year
Free Trial
Free Version
Pricing Details
$90/month
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
SSPLAX
Founded
2026
Country
Estonia
Website
ssplax.com
Product Features
Product Features
Decision Support
Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control