MATLAB Reviews & Ratings

MATLAB

4.7 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
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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Ratings and Reviews 10 Ratings

Total 4.5 out of 5 stars
ease 4.5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

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What is Model Predictive Control Toolbox?

The Model Predictive Control Toolbox™ provides an extensive array of functions, an easy-to-use app, Simulink® blocks, and useful reference examples to streamline the development of model predictive control (MPC) systems. It effectively addresses linear problems by allowing the development of implicit, explicit, adaptive, and gain-scheduled MPC approaches. For more intricate nonlinear situations, users can implement both single-stage and multi-stage nonlinear MPC. Moreover, this toolbox comes equipped with deployable optimization solvers and allows for the incorporation of custom solvers as needed. Users can evaluate the performance of their controllers through closed-loop simulations within MATLAB® and Simulink environments. In the context of automated driving, the toolbox offers blocks and examples that comply with MISRA C® and ISO 26262 standards, which facilitates the rapid start of projects related to lane keeping assistance, path planning, path following, and adaptive cruise control. It enables the design of implicit, gain-scheduled, and adaptive MPC controllers that can solve quadratic programming (QP) problems while also facilitating the generation of explicit MPC controllers based on implicit designs. Furthermore, the toolbox accommodates discrete control set MPC for addressing mixed-integer QP challenges, thus expanding its versatility for various control systems. With its rich set of features, the toolbox guarantees that both beginners and seasoned professionals can successfully apply advanced control strategies in their projects. This versatility ensures that users across multiple domains can find relevant applications for their specific needs.

What is MATLAB?

MATLAB® provides a specialized desktop environment designed for iterative design and analysis, complemented by a programming language that facilitates the straightforward expression of matrix and array computations. It includes the Live Editor, which allows users to craft scripts that seamlessly integrate code, outputs, and formatted text within an interactive notebook format. The toolboxes offered by MATLAB are carefully crafted, rigorously tested, and extensively documented for user convenience. Moreover, MATLAB applications enable users to visualize the interactions between various algorithms and their datasets. Users can enhance their outcomes through iterative processes and can easily create a MATLAB program to replicate or automate their workflows. Additionally, the platform supports scaling analyses across clusters, GPUs, and cloud environments with little adjustment to existing code. There is no necessity to completely change your programming habits or to learn intricate big data techniques. MATLAB allows for the automatic conversion of algorithms into C/C++, HDL, and CUDA code, permitting execution on embedded processors or FPGA/ASIC systems. In addition, when combined with Simulink, MATLAB bolsters the support for Model-Based Design methodologies, proving to be a flexible tool for both engineers and researchers. This versatility underscores MATLAB as a vital asset for addressing a broad spectrum of computational issues, ensuring that users can effectively tackle their specific challenges with confidence.

Media

Media

Integrations Supported

Integrations Supported

Amira Software
Cline
CloudSwyft
Devika
Devin
EASA
Gemini Code Assist
Helix Editor
Hitex SafeTpal
HostAccess
Mayhem Code Security
NVIDIA TensorRT
OptSim
Pop!_OS
Qualisys Track Manager
Rollup
RunMat
VISTA
Wing Python IDE

API Availability

API Availability

Pricing Information

$1,180 per year
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS
Windows
Mac
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

MathWorks

Company Location

United States

Company Website

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

Company Facts

Organization Name

The MathWorks

Date Founded

1984

Company Location

United States

Company Website

www.mathworks.com

Categories and Features

Categories and Features

Backtesting

Not specified

CAD

2D Drawing
3D Modeling
Civil
Collaboration
Design Analysis
Design Export
Document Management
Electrical
Mechanical
Mechatronics
Presentation Tools

Data Science

Not specified

Data Visualization

Not specified

Engineering

2D Drawing
Collaboration
Document Management
Presentation Tools

Fraud Detection

Not specified

Predictive Analytics

Not specified

Programming Languages

Not specified

Simulation

3D Modeling
Agent-Based Modeling
Industry Specific Database
Presentation Tools
Turbulence Modeling

Statistical Analysis

Association Discovery
Compliance Tracking
File Storage
Statistical Simulation

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