The Future of Model Based Engineering: Collimator 2.0 @Eigensteve
The Future of Model Based Engineering: Collimator 2.0  @Eigensteve
Uploaded March 2024 | Updated September 2026, 2 weeks ago
Learn more at collimator.ai
Collimator allows you to model, simulate, optimize, control, and collaborate in the cloud, with the power of Python and JAX

New features:
* Powered by JAX
* Generative AI
* Auto-Differentiation
* PID Auto-Tune
* SINDy model blocks
* Model Predictive Control
* Real-Time Collaboration
* Hardware in the Loop
* Hybrid models
* State machines
* FMU support
* Updated Python block

Steve Brunton is the Chief Scientist of Collimator

%%% CHAPTERS %%%
0:25 Powered by JAX
1:51 Generative AI
3:49 Hardware in the Loop
5:46 Real-time Collaboration
6:28 Automatic Differentiation
8:52 PID Autotune
10:28 Model Predictive Control
11:06 Recap
The Future of Model Based Engineering: Collimator 2.0Complex Analysis L06: Analytic Functions and Cauchy-Riemann ConditionsNonlinear parametric models of viscoelastic fluid flows with SINDyRescaling the Normal Distribution to Mean Zero and Variance OneJoint Probability Distributions: Marginal and Conditional DensitiesLinear Systems of Differential Equations with Forcing: Convolution and the Dirac Delta FunctionConjugate Priors Example: Normal Distribution and the Exponential Family of DistributionsBayesian Linear Regression and Maximum Likelihood EstimatesConfidence IntervalsExample Second-Order ODE: Spring-Mass-DamperComplex Analysis L13: Bromwich Integrals and the Inverse Laplace TransformMaximum Likelihood Estimation (MLE) with Examples
Steve Brunton |

The Future of Model Based Engineering: Collimator 2.0

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