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Description
Cybernetica specializes in providing Nonlinear Model Predictive Control (NMPC) utilizing mechanistic models. Our innovative software solution, Cybernetica CENIT, features a versatile architecture capable of addressing diverse industrial challenges by delivering optimal strategies. This includes advanced multivariable optimal control, predictive control mechanisms, and intelligent feed-forward strategies, along with efficient handling of constraints. Furthermore, our adaptive control capabilities leverage state and parameter estimation, incorporating feedback from indirect measurements via the process model. The use of nonlinear models allows for effective operation across extensive ranges, enhancing the management of nonlinear processes. This leads to a diminished reliance on step-response experiments and bolstered accuracy in state and parameter estimations. Additionally, we offer control solutions for both batch and semi-batch operations, efficiently managing nonlinear processes that function under fluctuating conditions. Our technology also ensures optimal grade transitions in continuous operations, safe supervision of exothermic processes, and control of unmeasured variables, including conversion rates and product quality. As a result, we contribute to reduced energy consumption and a lower carbon footprint, while also enhancing overall process efficiency. In summary, Cybernetica is committed to advancing industrial control solutions that optimize performance and sustainability.
Description
InfoAsset Planner serves as a strategic roadmap for renewal and replacement, enabling you to anticipate asset degradation and effectively prioritize renewal initiatives according to your capital budget. It efficiently integrates various inspection data, whether from NASSCO-certified CCTV evaluations, focused electrode leak location (FELL) techniques, or acoustic sensor readings, to inform and shape your repair and replacement strategies. By assessing the risk of structural failures, it allows for flexible prioritization of assets based on their condition and potential impact. Utilize deterioration models to statistically forecast future pipe failures, incorporating elements like failure definitions, sensitivity analyses, cohort models, and regression analyses that account for non-linear patterns. Develop a comprehensive rehabilitation plan that facilitates actionable decisions for each asset, rooted in your specific logical framework. Take into account factors such as condition, risk, and budget, ensuring that the chosen actions are timely, justified, and repeatable, thereby enhancing long-term asset management efficacy. This approach ultimately contributes to a more systematic and proactive strategy in maintaining infrastructure integrity.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
Cybernetica
Country
Norway
Website
cybernetica.no/technology/model-predictive-control/
Vendor Details
Company Name
Autodesk Water Infrastructure
Country
United States
Website
innovyze.com/products/asset-management/infoasset-planner/