Online Identification-based Periodic Event-triggered Control for Missile Autopilots
The problem of periodic event-triggered(PET)control for missile autopilot system with partially unknown dynamics is studied.Firstly,a preset performance identifier is designed for unknown dynamics,in which a boundary function is employed.The unknown dynamics can be estimated and the state identification error is constrained in the desired residual set.Secondly,based on the PET mecha-nism,a synchronization-error-driven triggering condition is designed and a PET optimal control strategy is proposed.Then,a critic network is constructed to solve the Hamilton-Jacobi-Bellman function and a weight updating law is designed to learn the PET optimal control strategy online.The states can be proved to be bounded based on Lyapunov theory.Finally,the proposed control strategy is applied in the missile autopilot system.The simulation results indicate the system is stable and the control strategy is updated as long as the triggered condition is violated.The calculation burden is reduced and the information utili-zation rate is improved.
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