Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Machinist Toolbox™ created by BobCAD-CAM is an essential software tool favored by CNC machinists all around the globe! This utility provides CNC machinists with quick access to optimized calculations for speed and feed in Milling, Drilling, Turning, and Tapping, along with Trigonometric calculators, easy conversion formulas, and vital reference materials. This is precisely what the Machinist Toolbox™ delivers, in addition to a wealth of other features! The robust Machinist Utility, Machinist Toolbox™, and a trial version of the latest CAD-CAM Software from BobCAD-CAM are available for free evaluation! The Machinist Toolbox™ is a highly effective utility that encompasses a range of calculators tailored specifically for the needs of machinists. With its extensive collection of calculators, the Machinist Toolbox™ simplifies the process of deriving complex numerical values. Additionally, it offers graphically illustrated calculators designed for performing intricate Trigonometric calculations, making it a comprehensive resource for machinists at any skill level. This toolbox stands out as an indispensable asset in any machine shop.
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
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$1,180 per year
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
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
Customer Support
Business Hours
No
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
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
CNC Machinist Software
Website
www.machinist-toolbox.com
Vendor Details
Company Name
MathWorks
Country
United States
Website
www.mathworks.com/products/model-predictive-control.html
Product Features
Computer-Aided Manufacturing (CAM)
Automatic Feature Recognition
No
CAD
No
CNC Machining
No
Custom Commands
No
Raw Material Management
No
Toolpath Simulation
No
Manufacturing Execution
Document Management
No
Forecasting
No
Quality Control
No
Quote Management
No
Resource Management
Yes
Supplier Management
No
Supply Chain Management
No
Traceability
No