Optimal design method of 2-D IIR digital filters based on a simple genetic algorithm

Author(s):  
M. Kawamata ◽  
J. Imakubo ◽  
T. Higuchi
2012 ◽  
Vol 490-495 ◽  
pp. 2723-2727
Author(s):  
Yan Ting Ai ◽  
Jing Tian ◽  
Qi Fu ◽  
Feng Ling Zhang

This paper presents a new optimal design method based on genetic algorithm(GA)for broadband linear dynamic absorber. A New definition of the suppression bandwidth is described firstly. Then the method and procedure to optimize multi-parameters of broadband dynamic absorber is proposed. Effects of the natural frequency ratio, excitation frequency ratio, mass ratio, main system damping ratio and absorber ratio on the suppression bandwidth are discussed systematically. Finally the merits of genetic algorithm used for broadband linear dynamic absorber design are illustrated by contrasting it to a numerical method.


2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Ma Yong-Quan ◽  
Qiu Hong-Xing

The integrated multiobjective optimal design method for structural active control system is put forward based on improved Pareto multiobjective genetic algorithm, through which the position of actuator is synchronously optimized with active controller. External excitation is simulated by stationary filtered white noise. The root-mean-square (RMS) of structural response and active control force can be achieved by solving Lyapunov equation in the state space. The design of active controller adopts linear quadratic regulator (LQR) control algorithm. Minimum ratio of the maximum RMS of controlled structural displacement divided by the maximum RMS of uncontrolled structural displacement and minimum ratio of the maximum RMS of controlled structural shear divided by the maximum RMS of uncontrolled structural shear, together with minimization of the sum of RMS of active control force, are used as the three objective functions of multiobjective optimization. The optimization process takes the impact of structure and excitation parameter on the optimized results. An eight-storey six-span plane steel frame was used as an emulational example to demonstrate the validity of this optimization method. Results show that the proposed integrated multiobjective optimal design method is simple, efficient, and practical with good universality.


2021 ◽  
Author(s):  
Fangdian Di ◽  
Lin Chen ◽  
Limin Sun

<p>A hybrid technique combining cross-ties and external dampers has been successfully applied in several cable-stayed bridges. However, there is a lack of optimization design method in practical design of the hybrid system. Therefore, this study proposes an optimal design method to optimize the parameters of the cross-ties and external dampers for the cable vibration mitigation, using multi-objective genetic algorithm (MOGA). A two-cable hybrid system is studied in this paper and its characteristic equation is derived by using the complex modal analysis method. The optimal design method is introduced and its feasibility is demonstrated by analyzing a simple cable-damper system. Subsequently, the proposed method is used for optimal design of the cross-tie and external dampers of a two-cable hybrid system. The results indicate that the proposed method can be used for performance optimization of hybrid cable networks system in practice.</p>


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