Inverse Optimal Adaptive Output Feedback Control of Euler-Lagrange Systems: a Variable Structure Observer Based Approach
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Abstract
This work focuses on inverse optimal, observer based output feedback control of Euler-Lagrange systems. Specifically a variable structure observer based output feedback controller is proposed which aside from ensuring asymptotic position tracking also ensures that a positive cost function, penalizing control input performance, is minimized. Simulation studies performed on a two link planar robot manipulator are included to illustrate the overall performance and feasibility of the proposed controller. © 2015 IEEE.
Description
54th IEEE Conference on Decision and Control, CDC 2015; Osaka International Convention Center (Grand Cube)5-3-51 Nakanoshima, Kita-KuOsaka; Japan; 15 December 2015 through 18 December 2015
Keywords
Adaptive systems, Cost function, Nonlinear systems, Observers, Output feedback, Yttrium, Output feedback, Cost function, Nonlinear systems, Yttrium, Observers, Adaptive systems
Fields of Science
0209 industrial biotechnology, 02 engineering and technology
Citation
Aksoy, O., Zergeroğlu, E., and Tatlıcıoğlu, E. (2015, December 15-18). Inverse optimal adaptive output feedback control of Euler-Lagrange systems: A variable structure observer based approach. Paper presented at the 54th IEEE Conference on Decision and Control, CDC 2015. doi:10.1109/CDC.2015.7403427
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