Stochastic Control for DC–DC Power Converters: A Generalized Minimum Variance Control Approach

Marcillo, Kevin Eduardo Lucas; Pagano, Daniel J.; Plaza, Douglas; Vaca—Benavides, David Alejandro; Ríos, Sara J.

doi:10.1016/j.ifacol.2020.12.245

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Stochastic Control for DC–DC Power Converters: A Generalized Minimum Variance Control Approach

Cited by 3 publications

References 11 publications

Sampling Period Analysis for Deterministic and Stochastic Controllers: An Algorithmic Tool for Performance Optimization

Sampling Period Analysis for Deterministic and Stochastic Controllers: An Algorithmic Tool for Performance Optimization

Hybrid Parametrically Optimized Adaptive Control Framework for Generator Reactor Pressurizer

Data-Driven Hybrid Parametrically Optimized Adaptive Control Framework for Enhancing Stability Boundaries of Nonlinear Systems

Contact Info

Product

Resources

About