Stabilization of discrete-time nonlinear systems by smooth state feedback

1993 ◽  
Vol 21 (3) ◽  
pp. 255-263 ◽  
Author(s):  
Christopher I. Byrnes ◽  
Wei Lin ◽  
Bijoy K. Ghosh
2009 ◽  
Vol 19 (6) ◽  
pp. 865-871
Author(s):  
Tae-Kue Kim ◽  
Fa-Guang Wang ◽  
Seung-Kyu Park ◽  
Tae-Sung Yoon ◽  
Ho-Kyun Ahn ◽  
...  

2007 ◽  
Vol 40 (8) ◽  
pp. 59-64
Author(s):  
K.E. Bouazza ◽  
M. Boutayeb ◽  
M. Darouach

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.


2020 ◽  
Vol 12 (7) ◽  
pp. 168781402092265
Author(s):  
Xiao Yu ◽  
Fucheng Liao

In this article, the observer-based preview tracking control problem is investigated for a class of discrete-time Lipschitz nonlinear systems. To convert the observer-based trajectory tracking problem into a regulation problem, the classical difference technique is used to construct an augmented error system containing tracking error signal and previewable reference knowledge. Then, a state feedback controller with specific structures is taken into consideration. Sufficient design condition is established, based on the Lyapunov function approach, to guarantee the asymptotic stability of the closed-loop system. By means of some special mathematical derivations, the bilinear matrix inequality condition is successfully transformed into a tractable linear matrix inequality. Meanwhile, the gains of both observer and tracking controller can be computed simultaneously only in one step. As for the original system, the developed tracking control law is composed of an integrator, an observer-based state feedback controller, and a preview action term related to the reference signal. Finally, two numerical examples are provided to demonstrate the effectiveness of the theoretical method.


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