As same as the simulation method of single turning variable system, Runge–Kutta method is used to solve differential equations to simulate continuous dynamic system, and white noise is generated by special program. In all simulation examples, the sampling time is 0.1 s. Two dynamic correlation integration algorithms, one is continuous optimization algorithm and the other is intermittent optimization algorithm, are adopted in the simulation.

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Simulation of Optimization for Multivariable System

  • Jian Wang

摘要

As same as the simulation method of single turning variable system, Runge–Kutta method is used to solve differential equations to simulate continuous dynamic system, and white noise is generated by special program. In all simulation examples, the sampling time is 0.1 s. Two dynamic correlation integration algorithms, one is continuous optimization algorithm and the other is intermittent optimization algorithm, are adopted in the simulation.