Adaptive control of limit cycle for unknown nonlinear hysteretic system using dynamic recurrent RBF networks

2003 ◽  
Author(s):  
S.B.L. Kooi
Keyword(s):  
Adaptive Control ◽  
Limit Cycle ◽  
Rbf Networks ◽  
Hysteretic System ◽  
Nonlinear Hysteretic System

scholarly journals RBF Networks-Based Weighted Multi-Model Adaptive Control for a Category of Nonlinear Systems With Jumping Parameters

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 84929-84937
Author(s):  
Qing Li ◽  
Yuhang Yang ◽  
Yuzhen Zhang ◽  
Yukun Liu ◽  
Weicun Zhang ◽  
...  
Keyword(s):  
Adaptive Control ◽  
Nonlinear Systems ◽  
Rbf Networks

New Method for Solution of Response of Nonlinear Hysteretic System

2002 ◽  
Vol 124 (4) ◽  
pp. 653-656 ◽  
Author(s):  
J. L. Liu
Keyword(s):  
Differential Equation ◽  
Numerical Solution ◽  
Dynamic Load ◽  
Equation Of Motion ◽  
Solution Technique ◽  
Hysteretic System ◽  
Nonlinear Hysteretic System ◽  
Duhamel Integral ◽  
Interpolation Polynomials ◽  
Force Displacement

Piecewise interpolation polynomials are employed to approximate an arbitrary dynamic load. By extending the Duhamel integral, we can offer a numerical solution technique of the differential equation of motion in various kinds of material and damping cases in every branch of force-displacement relationship.

Nonlinear Model Reference Adaptive Control for Limit Cycle Oscillations

1999 ◽  
Author(s):  
Jeonghwan Ko ◽  
Maruthi R. Akella ◽  
John L. Junkins ◽  
Thomas W. Strganac ◽  
Andrew J. Kurdila
Keyword(s):  
Adaptive Control ◽  
Limit Cycle ◽  
Feedback Linearization ◽  
Control Method ◽  
Model Reference Adaptive Control ◽  
Limit Cycle Oscillations ◽  
Model Reference ◽  
Comparison Results ◽  
Structural Nonlinearity ◽  
Model Reference Adaptive

Abstract Recently derived structured model reference adaptive control (MRAC) method is employed for the active suppression of limit cycle oscillations for a typical wing section with structural nonlinearity. The structured MRAC takes advantage of the specific structure of governing equations for the general mechanical systems. The adaptive control method is implemented and tested in wind tunnel experiment to validate the performance. For comparison, results obtained with adaptive feedback linearization are also presented.

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