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ease
features
design
support

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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

Simcenter Nastran stands out as a leading finite element method (FEM) solver known for its exceptional computational performance, precision, dependability, and scalability. This comprehensive tool provides robust solutions for various applications, including linear and nonlinear structural analysis, structural dynamics, acoustics, rotor dynamics, aeroelasticity, thermal analysis, and optimization. One of the key benefits of having such a diverse array of solutions within a single solver is that it standardizes input/output file formats across all types of analyses, significantly streamlining the modeling process. Whether utilized as an independent enterprise solver or integrated within Simcenter 3D, Simcenter Nastran is instrumental for manufacturers and engineering firms across several sectors, including aerospace, automotive, electronics, heavy machinery, and medical devices. By catering to their vital engineering computing requirements, it enables these industries to deliver safe, reliable, and optimized designs while adhering to increasingly tighter design timelines. This versatility and efficiency make Simcenter Nastran an invaluable asset in the modern engineering landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

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

Siemens

Founded

2007

Country

United States

Website

www.plm.automation.siemens.com/global/en/products/simcenter/simcenter-nastran.html

Product Features

Engineering

2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering

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