The LQG Control Algorithms for Nonlinear Dynamic Systems-Reference-Cited by-同舟云学术

The LQG Control Algorithms for Nonlinear Dynamic Systems

Published:2019 Issue: Volume:32 Page:553-563
ISSN:2351-9789
Container-title:Procedia Manufacturing
language:en
Short-container-title:Procedia Manufacturing

Author:

György Katalin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering

Reference12 articles.

1. D. E. Kirk, Optimal Control Theory: An Introduction. Englewood Cliffs, NJ: Prentice Hall, 1970, reprinted by Dover, Mineola, NY, 2004

2. Tehnici de optimizare (Optimization Techniques);David;Petru Maior University, Tg. Mures,2000

3. K. György, L. Dávid, A. Kelemen, Theoretical Study of the Nonlinear Control Algorithms with Continuous and Discrete-Time State Dependent Riccati Equation, Inter -Eng 2015, Petru Maior University, Tg. Mureş, oct., 2015, Elsevier, Procedia Technology 22 (2016) 582-591.

4. Z. Liu, Design and simulation of a LQG Optimal Controller for a Mobile Cart, Department of Electrical & Computer Engineering, Temple University 1801 N. Broad Street, Philadelphia.

5. S. Papp, K. György, A. Kelemen, L. Jakab-Farkas, Applying the extended and unscented Kalman filters for nonlinear state estimation, Inter -Eng 2012 "Petru Maior" University, Tg. Mureş, 233- 239.

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