Systems with Lebesgue sampling

By K. Åström, B. Bernhardsson. 2003

49 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/1da95cab914044de96018e12c4124af8dc764e52

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Nikhil Chopra
2. Pavankumar Tallapragada
3. Marek Miskowicz

In Control and Systems Engineering

1. Nikhil Chopra
2. Pavankumar Tallapragada
3. Marek Miskowicz
4. Dominicus P. Borgers
5. W. M. Heemels

In Electrical and Electronic Engineering

1. Marek Miskowicz
2. W. M. Heemels

Citations in the corpus

• On Event Triggered Tracking for Nonlinear Systems (2013, background): “While there have been some efforts in the past to study event-based control systems [6]–[8], their systematic design for tasks such as stabilization has been undertaken only recently [1], [9]–[12].”
• Robust identification of continuous-time models with arbitrary time-delay from irregularly sampled data (2015, unknown): “[5, 3]) and occurs in several applications.”
• Send-On-Delta Concept: An Event-Based Data Reporting Strategy (2006, methodology): “Recently, Aström and Bernhardsson suggest a term Lebesgue sampling , since the discrete representation of a continuous-time signal by levels equally distributed in the amplitude domain resembles the Lebesgue method of integration in mathematics [22].”