scholarly journals Robust Reduced Order State Observer for Lipschitz Nonlinear Systems

2008 ◽  
Vol 14 (8) ◽  
pp. 837-841
2018 ◽  
Vol 54 (3) ◽  
pp. 2845-2856 ◽  
Author(s):  
Rojan Bhattarai ◽  
Niroj Gurung ◽  
Abilash Thakallapelli ◽  
Sukumar Kamalasadan

2013 ◽  
Vol 62 (4) ◽  
pp. 319-323 ◽  
Author(s):  
M. Ekramian ◽  
F. Sheikholeslam ◽  
S. Hosseinnia ◽  
M.J. Yazdanpanah

2011 ◽  
Vol 135-136 ◽  
pp. 960-963
Author(s):  
Jie Xu ◽  
Juan Chang ◽  
Lian Zhang ◽  
Yong Sun

Secure communication with the hyper-chaos synchronization approach is the popular investigation. In this paper the fifth-order Cellular Neural Networks(CNN) hyper-chaos equation of continuous time was discreted. The innovation was that the synchronization of the hyper-chaos system was realized with the discreted reduced order state observer. Finally, the system stabilizing to zero after fugacious transition and achieving synchronization were validated by simulations, which showed the algorithm’s availability.


Author(s):  
Mohamadreza Homayounzade ◽  
Mehdi Keshmiri

This paper presents a novel reduced-order observer based controller for a class of Lipschitz nonlinear systems, described by a set of second order ordinary differential equations. The control law is designed based on the measured output and estimated states. The main features are: (1) The computation cost is reduced noticeably, since the observer is a reduced-order one; (2) The controller guarantees semi-global exponential stability for both estimation and tracking error; and (3) The proposed method can be used in a large range of applications, especially in mechanical systems. The effectiveness of the proposed method is investigated through the numerical simulation for a two-degrees-of-freedom robot manipulator acting on a horizontal worktable.


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