Multi-model solution for chaos control based on the immune algorithm
基于免疫算法的混沌多模型微扰控制

The multi-model solution proposed by A. Duchateau et al is a further extension of the OGY method. In order to increase the zones of effective control (ZECs) of the attractor, a series of local linear models and control laws was positioned along an uncontrolled convergent trajectory that could direct the chaotic process towards its fixed point. So, controllers with both variable structure and parameter were required. A new control method was presented that the control laws of multi-model solution were generated by artificial immune algorithm to obtain double plasticity of parameter and structure. The simulation results showed that the new method could control the chaotic system towards its desired trajectory in less chaotic transient time than it used to be. The proposed approach is applicable to the systems with unknown dynamic model and known experimental data.