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What is OpenModelica?
OpenModelica is an open-source platform dedicated to modeling and simulating systems through the Modelica language, serving both the industrial and academic realms. Its advancement is propelled by the Open Source Modelica Consortium (OSMC), a non-profit organization committed to furthering this initiative. Aiming to provide a comprehensive environment for Modelica modeling, compilation, and simulation, OpenModelica is offered in both binary and source code formats, thus facilitating research, education, and real-world applications in various industries. The platform is designed to be compatible with various operating systems, including Windows, Linux, and macOS, and it fully supports the Modelica Standard Library. It is engineered to facilitate the development and implementation of a diverse array of numerical algorithms, making it particularly useful for tasks such as control system design, solving nonlinear equations, and creating optimization algorithms for complex applications. In addition, the platform features tools for debugging, visualization, and animation, which not only improve user engagement but also significantly enhance the efficiency of modeling and simulation workflows. Furthermore, OpenModelica's adaptability and comprehensive toolset make it indispensable for engineers and researchers who seek to innovate and solve complex problems effectively.
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.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
API Availability
Pricing Information
Free
Free Version
Pricing Information
Pricing not provided
Supported Platforms
Windows
Mac
Linux
Supported Platforms
Windows
Customer Service / Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Training Options
Documentation Hub
On-Site Training
Company Facts
Organization Name
OpenModelica
Company Location
United States
Company Website
openmodelica.org
Company Facts
Organization Name
Cybernetica
Company Location
Norway
Company Website
cybernetica.no/technology/model-predictive-control/
Categories and Features
Simulation
Not specified
Categories and Features
Advanced Process Control (APC)
Not specified
Model Predictive Control (MPC)
Not specified