title: Hybrid internal model control and proportional control of chaotic dynamical systems.
abstract: A new chaos control method is proposed to take advantage of chaos or avoid it. The hybrid Internal Model Control and Proportional Control learning scheme are introduced. In order to gain the desired robust performance and ensure the system's stability, Adaptive Momentum Algorithms are also developed. Through properly designing the neural network plant model and neural network controller, the chaotic dynamical systems are controlled while the parameters of the BP neural network are modified. Taking the Lorenz chaotic system as example, the results show that chaotic dynamical systems can be stabilized at the desired orbits by this control strategy.
authors.affiliation: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China. ldq0924@china.com.cn
authors.forename: Dong-lian
authors.initials: DL
authors.lastname: Qi
authors.forename: Liang-bin
authors.initials: LB
authors.lastname: Yao
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D005246:Feedback; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D013598:Systems Theory