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A control construction approach of adaptive inverse control based on a novel hybrid particle swarm optimization is proposed for achieving chaotic synchronization under the condition of noise perturbation. First, the chaotic synchronization control system structure is introduced. Next, using the proposed algorithm optimize radical basis function neural networks, finally the identified controlled device and trained sending controller are presented to construct the adaptive inverse controller construction. Simulation results show the effectiveness of the proposed method.