Novel Calibration Optimization Method for Delay-Control Systems Based on Genetic Algorithm
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Graphical Abstract
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Abstract
A novel calibration optimization method for delay-control systems is proposed. A multi-objective optimization function, considering both precision and reliability, is introduced to handle the calibration problem. Genetic algorithm (GA) is used to solve the optimization function, in which adaptive crossover and mutation algorithm are applied to improve the convergence performance of GA. Good performance of precision and reliability is demonstrated by numerical results.
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