The simulation results indicate that this algorithm not only guarantees global convergence, but also improves the converging rate and the stability effectively.

仿真结果表明，该算法不仅保证了全局收敛性，而且大大提高了算法的收敛速度和稳定性。

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A continuous simulated annealing algorithm with global convergence ability is applied to solve this controller parameters optimization design problem.

采用一类全局收敛的连续模拟退火算法完成了控制器参数的优化设计。

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Also the proof of global convergence of the algorithm is presented, which is of value for discussions of convergence of more general algorithms.

还证明了该算法的总体收敛性，其证明方法对一般迭代算法的收敛性讨论具有参考价值。

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