Lyapunov Optimal Saturated Control for Nonlinear Systems

1997 ◽  
Vol 20 (6) ◽  
pp. 1083-1088 ◽  
Author(s):  
Rush D. Robinett ◽  
Gordon G. Parker ◽  
Hanspeter Schaub ◽  
John L. Junkins
Keyword(s):  
Nonlinear Systems ◽  
Saturated Control

scholarly journals Low-Complexity Adaptive Saturated Control of a Class of Nonlinear Systems with Its Application

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Gang Zhang ◽  
Deqiang Cheng ◽  
Qiqi Kou
Keyword(s):  
Nonlinear Systems ◽  
Dead Zone ◽  
External Disturbance ◽  
Original System ◽  
Low Complexity ◽  
Control Law ◽  
Zone Model ◽  
Time Varying ◽  
Saturated Control ◽  
Output Constraint

This paper investigates a low-complexity saturated control law for a class of nonlinear systems with consideration of the time-varying output constraint, control constraint, and external disturbance. First, a dead-zone model is employed to transform the control saturation nonlinearity into a linear one with respect to the real input signal. Then, the original system with time-varying output constraint is transformed into a constraint-free one, based on which a novel adaptive saturated control law is devised along the filtered error manifold. By employing minimum learning parameter technique and virtual error concept, only two adaptive parameters are needed to update online, which reduces the computational burdens dramatically. Finally, the applications to Duffing-Holmes chaotic system are organized to validate the effectiveness of the proposed control law.

Lyapunov optimal saturated control for nonlinear systems

1997 ◽  
Author(s):  
Rush Robinett ◽  
Gordon Parker ◽  
Hanspeter Schaub ◽  
John Junkins ◽  
Rush Robinett ◽  
...  
Keyword(s):  
Nonlinear Systems ◽  
Saturated Control

Identification of Continuous-time Nonlinear Systems via Local Gaussian Process Models

2014 ◽  
Vol 134 (11) ◽  
pp. 1708-1715
Author(s):  
Tomohiro Hachino ◽  
Kazuhiro Matsushita ◽  
Hitoshi Takata ◽  
Seiji Fukushima ◽  
Yasutaka Igarashi
Keyword(s):  
Nonlinear Systems ◽  
Gaussian Process ◽  
Continuous Time ◽  
Process Models ◽  
Gaussian Process Models

Modeling of Nonlinear Systems using Genetic Algorithm

2012 ◽  
Vol 132 (6) ◽  
pp. 913-918 ◽  
Author(s):  
Kayoko Hayashi ◽  
Toru Yamamoto ◽  
Kazuo Kawada
Keyword(s):  
Genetic Algorithm ◽  
Nonlinear Systems
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