Abstract
Simulating the thinking characteristics of human beings, a new type of intelligent controller is proposed: human-like logic predictive controller. The controller combines the characteristics of Pan-Boolean algebra-based logic controller and model-based predictive controller. It is a multi-valued logic hybrid dynamic system. The simulation results of MATLAB show that the controller performs well in model matching and can still operate satisfactorily in model mismatch. Compared with other types of AI controllers, the controller has simple structure, clear physical background and clear mathematical concepts. It is easy to popularize and apply in the field of industrial control.
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Acknowledgement
The work was supported by the Hechi University Foundation (XJ2016ZD004), Guangxi teacher Capability enhancement project (2018KY0495), Hechi university Youth teacher Foundation (XJ2017QN08) and was supported by the Projection of Master Foundation (2017HJA001, 2018LG004).
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Chen, M., Zhang, Y. (2020). Human-Simulation Logical Predictive Controller Design. In: Xu, Z., Choo, KK., Dehghantanha, A., Parizi, R., Hammoudeh, M. (eds) Cyber Security Intelligence and Analytics. CSIA 2019. Advances in Intelligent Systems and Computing, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-030-15235-2_59
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DOI: https://doi.org/10.1007/978-3-030-15235-2_59
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