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Description
Aspen® stands out as the ideal Student Information System that evolves alongside your educational institution. Become part of a network of education professionals who rely on Aspen to streamline administrative duties and create a comprehensive, data-driven overview of every student. This platform consolidates all your school information management requirements into one straightforward and manageable system. Tailored to respond to dynamic educational initiatives, Aspen empowers you to gather, sort, and report precisely the information you need. You can customize Aspen to align with your unique requirements, offering unparalleled flexibility. Its innovative architecture allows for the personalization of screens, reports, and interfaces, setting it apart from any other product on the market. Furthermore, the Aspen Implementation Team is there to assist you throughout the process, bringing together over a century of collective experience in installation, training, customization, software support, and addressing the reporting needs of large school districts, ensuring a smooth transition and ongoing success. This level of support guarantees that you’re never alone in your journey with Aspen, making it a truly collaborative experience.
Description
A closed-loop universal multivariable optimizer is designed to enhance both the performance and quality of Model Predictive Control (MPC) systems. This optimizer utilizes data from Excel files sourced from Dynamic Matrix Control (DMC) by Aspen Tech, Robust Model Predictive Control Technology (RMPCT) from Honeywell, or Predict Pro from Emerson to develop and refine accurate models for various multivariable-controller variable (MV-CV) pairs. This innovative optimization technology eliminates the need for step tests typically required by Aspen Tech and Honeywell, operating entirely within the time domain while remaining user-friendly, compact, and efficient. Given that Model Predictive Controls (MPC) can encompass tens or even hundreds of dynamic models, the possibility of incorrect models is a significant concern. The presence of inaccurate dynamic models in MPCs leads to bias, which is identified as model prediction error, manifesting as discrepancies between predicted signals and actual measurements from sensors. COLUMBO serves as a powerful tool to enhance the accuracy of Model Predictive Control (MPC) models, effectively utilizing either open-loop or fully closed-loop data to ensure optimal performance. By addressing the potential for errors in dynamic models, COLUMBO aims to significantly improve overall control system effectiveness.
API Access
Has API
API Access
Has API
Integrations
Aspen DMC3
BrainFreeze
Gradelink SIS
Microsoft Excel
netZcore PRINT
Integrations
Aspen DMC3
BrainFreeze
Gradelink SIS
Microsoft Excel
netZcore PRINT
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Follett
Founded
1873
Country
United States
Website
www.follettaspen.com
Vendor Details
Company Name
PiControl Solutions
Country
United States
Website
www.picontrolsolutions.com/products/columbo/
Product Features
School Management
Bookstore Management
Cafeteria Management
Curriculum Management
Facility Management
Financial Management
Higher Education
Housing Management
Independent / Private
K-12
Library Management
Online Calendar
Online Payments
Parent / Student Portal
Preschool
Reporting/Analytics
School District
Special Education
Vocational / Trade Schools