Indeterminacy Analyzing of the Quantum Particle Swarm Analog with the Gaussian Distribution and its Solving

The paper analyzed the quantum-behaved particle swarm optimization with Gaussian distribution which can reduce the identification error of system. However, when the coefficient of the random number probability is changed, the different result is obtained and the result is uncertain. The paper identified off-line the friction model of a servo system with the method and contrasted the result. At the end of the paper, the indeterminacy of the algorithm is solved.