Skip to main content
Pablo Zometa on Muck Rack

Pablo Zometa

As seen in: Wiley Online Library
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Pablo

Contact Pablo, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Flexible development and evaluation of machine‐learning‐supported optimal control and estimation methods via HILO‐MPC

|
By Johannes Pohlodek, Bruno Morabito, Christian Schlauch, Pablo Zometa
| Wiley Online Library Verified
1 INTRODUCTION Advanced optimal control and estimation problems such as model predictive control, moving horizon estimation, and Kalman filters require models representing, for example, the system dynamics, constraints, reference values, and objective functions. Based on these models, the inputs, the estimates of the states, or parameters are found based on the minimization of an objective function1, 2 Often obtaining accurate models is challenging.
Open in Who Shared Issue with article?
See all 1 articles