scholarly journals A Multi-objective Optimization based on Hybrid Quantum Evolutionary Algorithm in Networked Control System

2012 ◽  
Vol 25 ◽  
pp. 1561-1568 ◽  
Author(s):  
Zheng-geng Qu ◽  
Xiao-yan Zhang
Keyword(s):  
Control System ◽  
Evolutionary Algorithm ◽  
Networked Control System ◽  
Networked Control ◽  
Multi Objective Optimization ◽  
Multi Objective

scholarly journals An Evolutionary Algorithm with Advanced Goal and Priority Specification for Multi-objective Optimization

2003 ◽  
Vol 18 ◽  
pp. 183-215 ◽  
Author(s):  
K. C. Tan ◽  
E. F. Khor ◽  
T. H. Lee ◽  
R. Sathikannan
Keyword(s):  
Control System ◽  
Evolutionary Algorithm ◽  
Population Distribution ◽  
Hard Disk Drives ◽  
Voice Coil Motor ◽  
Servo Control ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Servo Control System ◽  
Trade Offs

This paper presents an evolutionary algorithm with a new goal-sequence domination scheme for better decision support in multi-objective optimization. The approach allows the inclusion of advanced hard/soft priority and constraint information on each objective component, and is capable of incorporating multiple specifications with overlapping or non-overlapping objective functions via logical 'OR' and 'AND' connectives to drive the search towards multiple regions of trade-off. In addition, we propose a dynamic sharing scheme that is simple and adaptively estimated according to the on-line population distribution without needing any a priori parameter setting. Each feature in the proposed algorithm is examined to show its respective contribution, and the performance of the algorithm is compared with other evolutionary optimization methods. It is shown that the proposed algorithm has performed well in the diversity of evolutionary search and uniform distribution of non-dominated individuals along the final trade-offs, without significant computational effort. The algorithm is also applied to the design optimization of a practical servo control system for hard disk drives with a single voice-coil-motor actuator. Results of the evolutionary designed servo control system show a superior closed-loop performance compared to classical PID or RPT approaches.

Design and implementation of C-MEX S-functions in an Android-based networked control system laboratory

2021 ◽  
pp. 014233122110268
Author(s):  
Lei Cao ◽  
Guo-Ping Liu ◽  
Wenshan Hu ◽  
Jahan Zaib Bhatti
Keyword(s):  
Control System ◽  
Networked Control System ◽  
Networked Control ◽  
Control Algorithms ◽  
Basic Block ◽  
Air Bearing ◽  
Experiment Validation ◽  
Functional Blocks ◽  
New Feature ◽  
Three Degree Of Freedom

The Android-based networked control system laboratory (NCSLab) is a remote control laboratory that adopts an extensible architecture, mainly including Android mobile devices, MATLAB servers, controllers and test rigs. In order to conduct various simulations and experiments more effectively in NCSLab, the first key issue that needs to be solved is to enable users to design their own control algorithms or functional blocks on the Android client, rather than just using the basic block libraries provided by the system. So, this paper proposes and implements a scheme for Android-based compilation of C-MEX S-functions. With this new feature, users can design personalized algorithm according to their requirements in the form of S-functions, which can be called and executed after being compiled by MATLAB server. Finally, through the experiment validation of the three-degree-of-freedom air bearing spacecraft platform, it is proved that the method of Android-based C-MEX S-functions is reliable and efficient, and this scheme well enhances the functionality and mobility of Android-based NCSLab.

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