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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.
Integrations Supported
CUDA
CodeConvert
Codebeamer
Devika
FICO Xpress Optimization
Fuzzball
HostAccess
JMP Statistical Software
Meteomatics
Modelscape
Integrations Supported
CUDA
CodeConvert
Codebeamer
Devika
FICO Xpress Optimization
Fuzzball
HostAccess
JMP Statistical Software
Meteomatics
Modelscape
API Availability
Has API
API Availability
Has API
Pricing Information
$1,180 per year
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site 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
CAD
2 1/2-Axis Milling
2D Drawing
3-Axis Milling
3D Modeling
4-Axis Milling
5-Axis Milling
Civil
Collaboration
Database Connectivity
Design Analysis
Design Export
Document Management
Electrical
Hole Making
Mechanical
Mechatronics
Presentation Tools
Simulate Cycles
Spiral Output
Structural Engineering
Toolpath Simulation
User Defined Cycles
Computer-Aided Engineering (CAE)
CAD/CAM Compatibility
Finite Element Analysis
Fluid Dynamics
Import / Export Files
Integrated 3D Modeling
Manufacturing Process Simulation
Mechanical Event Simulation
Multibody Dynamics
Thermal Analysis
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Engineering
2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering
Financial Risk Management
Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Simulation
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization