A Further Result on Global Stabilization of a Class of Nonlinear Systems by Output Feedback with Unknown Measurement Sensitivity

2019 ◽  
Vol 17 (10) ◽  
pp. 2500-2507 ◽  
Author(s):  
Sang-Young Oh ◽  
Ho-Lim Choi
Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1340
Author(s):  
Dong Min Jeong ◽  
Sung Jin Yoo

A decentralized adaptive resilient output-feedback stabilization strategy is presented for a class of uncertain interconnected nonlinear systems with unknown time-varying measurement sensitivities. In the concerned problem, the main difficulty is to achieve the decentralization of interconnected output nonlinearities unmatched to the control input by using only local output information corrupted by measurement sensitivity, namely the exact output information cannot be used to design the decentralized output-feedback control scheme. Thus, a decentralized output-feedback stabilizer design using only the corrupted output of each subsystem is developed where the adaptive control technique is employed to compensate for the effects of unknown measurement sensitivities. The stability of the resulting decentralized control scheme is analyzed based on the Lyapunov stability theorem.


1996 ◽  
Vol 2 (3) ◽  
pp. 201-210 ◽  
Author(s):  
Zhong-Ping Jiang ◽  
Iven M.Y. Mareels ◽  
Jean-Baptiste Pomet

2011 ◽  
Vol 291-294 ◽  
pp. 1555-1558
Author(s):  
Hui Ye ◽  
Jun Yong Zhai

This paper considers the problem of semi-global decentralized output feedback control of large-scale systems with subsystems interconnected by nonlinearities which are functions of the measurable and immeasurable. The distinguishing factor of this paper is that the nonlinearities are allowed to have both higher-order and lower-order terms, to which the existing design schemes are inapplicable. Simulation results are given to demonstrate the validity of the proposed method.


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