Hybridization of Multi-chaotic Dynamics and Adaptive Control Parameter Adjusting jDE Strategy

2017 ◽  
pp. 77-87 ◽  
Author(s):  
Roman Senkerik ◽  
Michal Pluhacek ◽  
Ivan Zelinka ◽  
Adam Viktorin ◽  
Zuzana Kominkova Oplatkova
Keyword(s):  
Adaptive Control ◽  
Chaotic Dynamics ◽  
Control Parameter

Experimental Techniques for Controlling Chaos in Lasers

1998 ◽  
Vol 08 (09) ◽  
pp. 1759-1768 ◽  
Author(s):  
R. Meucci ◽  
A. Labate ◽  
M. Ciofini
Keyword(s):  
Power Spectrum ◽  
Chaotic Dynamics ◽  
Feedback Loop ◽  
Control Parameter ◽  
Experimental Techniques ◽  
Controlling Chaos ◽  
Sinusoidal Modulation ◽  
Control Schemes ◽  
Frequency Components

This paper presents two control schemes for the chaotic dynamics of CO 2 laser with feedback which can be applied after the recognition of a leading frequency of the motion in the power spectrum. The first one is realized by means of a selective feedback loop which rejects all the frequency components except that of the leading cycle to be stabilized. The second one consists in a resonant sinusoidal modulation of the control parameter.

scholarly journals Data adaptive control parameter estimation for scaling laws for magnetic fusion devices

2008 ◽  
Vol 81 (5) ◽  
pp. 55001 ◽  
Author(s):  
R. Preuss ◽  
H. Dreier ◽  
A. Dinklage ◽  
V. Dose
Keyword(s):  
Parameter Estimation ◽  
Adaptive Control ◽  
Control Parameter ◽  
Scaling Laws ◽  
Magnetic Fusion ◽  
Data Adaptive

Differential Evolution Algorithm with Triangular Adaptive Control Parameter for SHEPWM Switching Pattern Optimization

2017 ◽  
Vol 8 (3) ◽  
pp. 1381
Author(s):  
Ismail Yusuf ◽  
Ayong Hiendro ◽  
F. Trias Pontia Wigyarianto ◽  
Kho Hie Khwee
Keyword(s):  
Adaptive Control ◽  
Differential Evolution ◽  
Control Parameter ◽  
Pulse Width Modulation ◽  
Differential Evolution Algorithm ◽  
De Algorithm ◽  
Harmonic Elimination ◽  
Switching Patterns ◽  
Convergence Process ◽  
Speed Up

Differential evolution (DE) algorithm has been applied as a powerful tool to find optimum switching angles for selective harmonic elimination pulse width modulation (SHEPWM) inverters. However, the DE’s performace is very dependent on its control parameters. Conventional DE generally uses either trial and error mechanism or tuning technique to determine appropriate values of the control paramaters. The disadvantage of this process is that it is very time comsuming. In this paper, an adaptive control parameter is proposed in order to speed up the DE algorithm in optimizing SHEPWM switching angles precisely. The proposed adaptive control parameter is proven to enhance the convergence process of the DE algorithm without requiring initial guesses. The results for both negative and positive modulation index (<em>M</em>) also indicate that the proposed adaptive DE is superior to the conventional DE in generating SHEPWM switching patterns

Generalized Synchronization of Chaos in RCL-Shunted Josephson Junction with Uncertain Parameters

2012 ◽  
Vol 157-158 ◽  
pp. 752-756
Author(s):  
Na Fang ◽  
Jie Fang
Keyword(s):  
Numerical Simulation ◽  
Adaptive Control ◽  
Josephson Junction ◽  
Stability Theory ◽  
Chaotic Dynamics ◽  
Control Method ◽  
Uncertain Parameters ◽  
Generalized Synchronization ◽  
Nonlinear Feedback ◽  
Scaling Factors

This paper investigates the generalized synchronization of chaotic dynamics in resistive capacitive inductance (RCL)-shunted Josephson junctions with uncertain parameters.Based on Lyapunove stability theory and adaptive control method, unified nonlinear feedback controller and the parameter update laws are pesented .Numerical simulation illustrate that the system can realize generalized synchronization by different scaling factors .

Adaptive Control of Robot Systems with Simple Rules Using Chaotic Dynamics in Quasi-layered Recurrent Neural Networks

2012 ◽  
pp. 287-305 ◽  
Author(s):  
Ryosuke Yoshinaka ◽  
Masato Kawashima ◽  
Yuta Takamura ◽  
Hitoshi Yamaguchi ◽  
Naoya Miyahara ◽  
...  
Keyword(s):  
Neural Networks ◽  
Adaptive Control ◽  
Recurrent Neural Networks ◽  
Chaotic Dynamics ◽  
Simple Rules ◽  
Robot Systems

Algorithm for Real-Time AI-Based PI Controller in PMSM

2011 ◽  
Vol 52-54 ◽  
pp. 204-209
Author(s):  
Choon Lih Hoo ◽  
Sallehuddin Mohamed Haris
Keyword(s):  
Artificial Intelligence ◽  
Adaptive Control ◽  
Motor Control ◽  
Real Time ◽  
Control Parameter ◽  
Input Function ◽  
Pi Controller ◽  
Step Input ◽  
Integral Controller ◽  
Proportional Integral Controller

Motor control is essential for good performance especially now the servo and speed drives application has gaining much attention. Proportional-integral controller is popular among motor control but yet is mostly with preset control parameter. The proposed real-time artificial intelligence based controller is aimed for adaptive control throughout the whole motor operating condition. The proposed has improved and better speed and torque performance in constant and ramp input functions but not in the step input function and the attempt requires further research and modification for global application.

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