Linear optimal control, H2 and H∞ methods, by Jeffrey B. Burl, Addison Wesley Longman, Inc. Menlo Park, CA, 1999

By Edwin Engin Yaz. 2000

134 citations recorded by the source corpus.

Subfields: Aerospace Engineering

View Paper: https://www.semanticscholar.org/paper/2a23f697a9174acd5d96f5e126521916bf9e08f8

How researchers see this paper

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

In Aerospace Engineering

1. P. Meliga
2. Amir-massoud Farahmand
3. Denis Sipp
4. O. Marquet
5. Csaba Szepesvari
6. Aaron Radke
7. A. Barbagallo
8. Zhiqiang Gao

Citations in the corpus

• A survey of state and disturbance observers for practitioners (2006, methodology): “It was originally defined in discrete time and has been extended to continuous time [28].”
• Regularization in reinforcement learning (2011, background): “Except special cases, such as in the Linear Quadratic Regulation (LQR) problem [Burl, 1998], this is intractable for large state spaces, even if P (·, ·|x, a) is known.”
• Dynamics and Control of Global Instabilities in Open-Flows: A Linearized Approach (2010, methodology): “The computation of the gains, based on solving the respective Riccati equations, is performed within the small-gain limit [79].”