Title :
A study of multi-sensor management and control method based on deviation
Author :
Gao Yong ; Luo Xuan ; Chen Bing ; Hou Xiaoning
Author_Institution :
Educ. Dept., Inf. Eng. Univ., Zhengzhou, China
Abstract :
According to the controller and sensor requirements for different operating conditions, this paper designed three relatively balanced indicators, using the least squares fitting method, establishing minimum objective function of the absolute deviation from equilibrium conditions which was called Deviation. Finally, this paper discovered the best management and control program about multi-sensor by using Linear programming and improved genetic algorithm optimal allocation scheme to solve the problem, choosing small deviation individuals in the initial population to replace the larger one, and ensuring the optimum offspring individuals replace the poor continually.
Keywords :
genetic algorithms; least squares approximations; linear programming; sensor fusion; control method; genetic algorithm optimal allocation scheme; least squares fitting method; linear programming; multisensor management; Art; Electronic mail; Fitting; Genetic algorithms; Information management; Linear programming; Resource management; Genetic Algorithms; Management and Control; Multi-Sensor; The relative equilibrium;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7161883