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Ratings and Reviews 0 Ratings
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What is Cybernetica CENIT?
Cybernetica is dedicated to delivering Nonlinear Model Predictive Control (NMPC) by leveraging mechanistic models. Our cutting-edge software, Cybernetica CENIT, boasts a flexible architecture designed to tackle a wide array of industrial challenges while producing optimal control strategies. This encompasses sophisticated multivariable optimal control, predictive control techniques, and smart feed-forward methods, all while adeptly managing various constraints. Additionally, our adaptive control features utilize state and parameter estimation, allowing for the integration of feedback derived from indirect measurements through the process model. Employing nonlinear models facilitates effective performance across broad operational ranges, significantly improving the management of complex nonlinear processes. Consequently, this approach reduces the dependence on step-response experiments and enhances the precision of state and parameter estimations. Moreover, we provide tailored control solutions for both batch and semi-batch operations, efficiently overseeing nonlinear processes that endure varying conditions. Our technology also guarantees optimal transitions in product grades during continuous operations, ensures the safe management of exothermic reactions, and controls unmeasured variables such as conversion rates and product quality. Ultimately, these advancements lead to decreased energy consumption and a minimized carbon footprint, while simultaneously boosting overall process efficiency. In conclusion, Cybernetica is fully committed to pioneering industrial control solutions that not only enhance performance but also promote sustainability in various sectors. Our relentless pursuit of innovation positions us as leaders in the field, enabling us to adapt to the evolving needs of our clients.
What is AMPL?
AMPL is a powerful and intuitive modeling language crafted for articulating and solving complex optimization problems. It empowers users to formulate mathematical models with a syntax akin to algebraic expressions, which facilitates a clear and efficient representation of variables, objectives, and constraints. The language supports a wide array of problem types, encompassing linear programming, nonlinear programming, and mixed-integer programming, among others. One of AMPL's notable strengths lies in its ability to separate models from data, offering both flexibility and scalability for large-scale optimization challenges. Moreover, the platform seamlessly integrates with various solvers, including both commercial and open-source options, allowing users to choose the most appropriate solver for their specific needs. In addition, AMPL is compatible with several operating systems, such as Windows, macOS, and Linux, and offers a variety of licensing options to meet diverse user requirements. This adaptability and user-centric design render AMPL an outstanding option for both individuals and organizations engaged in tackling sophisticated optimization tasks. Its extensive features and capabilities ensure that users are well-equipped to handle a broad spectrum of optimization scenarios.
Integrations Supported
Artelys Knitro
Python
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$3,000 per year
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
Cybernetica
Company Location
Norway
Company Website
cybernetica.no/technology/model-predictive-control/
Company Facts
Organization Name
AMPL
Date Founded
2002
Company Location
United States
Company Website
ampl.com/products/ampl/
