COLUMBO

COLUMBO

PiControl Solutions
+
+

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About

Closed-loop universal multivariable optimizer for Model Predictive Control (MPC) performance and Model Predictive Control (MPC) quality improvements. Use data in Excel files from DMC (Dynamic Matrix Control) from Aspen Tech, or from RMPCT (Robust Model Predictive Control Technology) from Honeywell, or Predict Pro from Emerson and use it to generate and improve correct models for the various MV-CV pairs. Amazing new optimization technology does not need step tests as required by Aspen tech, Honeywell, and others. It Works entirely in the time domain, is easy to use, compact, and practical. Model Predictive Controls (MPC) can have 10s or 100s of dynamic models. One or more could be wrong. Bad (wrong) Model Predictive Control (MPC) dynamic models produce a bias (model prediction error) between the predicted signal and the measured signal coming from the sensor. COLUMBO will help you to improve Model Predictive Control (MPC) models with either open-loop or completely closed-loop data.

About

MPCPy is a Python package that facilitates the testing and implementation of occupant-integrated model predictive control (MPC) for building systems. The package focuses on the use of data-driven, simplified physical or statistical models to predict building performance and optimize control. Four main modules contain object classes to import data, interact with real or emulated systems, estimate and validate data-driven models, and optimize control input. While MPCPy provides an integration platform, it relies on free, open-source, third-party software packages for model implementation, simulators, parameter estimation algorithms, and optimization solvers. This includes Python packages for scripting and data manipulation as well as other more comprehensive software packages for specific purposes. In particular, modeling and optimization for physical systems currently rely on the Modelica language specification.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Professionals seeking a solution to improve their Model Predictive Control models' performance and quality

Audience

Plants and companies requiring an open-source platform to improve their Model Predictive Control (MPC) in their buildings

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

PiControl Solutions
United States
www.picontrolsolutions.com/products/columbo/

Company Information

MPCPy
United States
github.com/lbl-srg/MPCPy

Alternatives

Alternatives

Cybernetica CENIT

Cybernetica CENIT

Cybernetica
Cybernetica CENIT

Cybernetica CENIT

Cybernetica
INCA MPC

INCA MPC

Inca Tools
COLUMBO

COLUMBO

PiControl Solutions
INCA MPC

INCA MPC

Inca Tools
AVEVA APC

AVEVA APC

AVEVA
AVEVA APC

AVEVA APC

AVEVA

Categories

Categories

Integrations

Aspen DMC3
Microsoft Excel
Python
Ubuntu

Integrations

Aspen DMC3
Microsoft Excel
Python
Ubuntu
Claim COLUMBO and update features and information
Claim COLUMBO and update features and information
Claim MPCPy and update features and information
Claim MPCPy and update features and information