Bounded smooth state feedback and a global separation principle for non-affine nonlinear systems

1995 ◽  
Vol 26 (1) ◽  
pp. 41-53 ◽  
Author(s):  
Wei Lin
2010 ◽  
Vol 15 (1) ◽  
pp. 39-53 ◽  
Author(s):  
L. Liu ◽  
N. Duan

This paper investigates the problem of globally asymptotically stable in probability by state-feedback for a class of stochastic high-order nonlinear systems with a ratio of odd integers power. By extending the adding a power integrator technique and choosing an appropriate Lyapunov function, a linear smooth state-feedback controller is explicitly constructed to render the system globally asymptotically stable in probability. Furthermore, we address the problem of state-feedback inverse optimal stabilization in probability. A simulation example is provided to show the effectiveness of the proposed approach.


1993 ◽  
Vol 21 (3) ◽  
pp. 255-263 ◽  
Author(s):  
Christopher I. Byrnes ◽  
Wei Lin ◽  
Bijoy K. Ghosh

2017 ◽  
Vol 24 (11) ◽  
pp. 2112-2119 ◽  
Author(s):  
Meysam Yadegar ◽  
Ahmad Afshar ◽  
Mohammadreza Davoodi

In this paper, the observer-based controller design problem for tracking a constant reference input in Lipschitz nonlinear systems is addressed. To this end, at first, a state feedback controller is proposed and sufficient conditions for solvability of the problem are obtained in terms of linear matrix inequality feasibility conditions. Then, it is shown that for the considered Lipschitz nonlinear system, the separation principle holds and the estimation state variables can be used instead of the state variables. Subsequently, an observer for estimating the states of the system and also an observer-based controller is designed. Simulation results on a flexible link are given to verify the effectiveness of the proposed controller.


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