title: Missile guidance law design using adaptive cerebellar model articulation controller.
abstract: An adaptive cerebellar model articulation controller (CMAC) is proposed for command to line-of-sight (CLOS) missile guidance law design. In this design, the three-dimensional (3-D) CLOS guidance problem is formulated as a tracking problem of a time-varying nonlinear system. The adaptive CMAC control system is comprised of a CMAC and a compensation controller. The CMAC control is used to imitate a feedback linearization control law and the compensation controller is utilized to compensate the difference between the feedback linearization control law and the CMAC control. The online adaptive law is derived based on the Lyapunov stability theorem to learn the weights of receptive-field basis functions in CMAC control. In addition, in order to relax the requirement of approximation error bound, an estimation law is derived to estimate the error bound. Then the adaptive CMAC control system is designed to achieve satisfactory tracking performance. Simulation results for different engagement scenarios illustrate the validity of the proposed adaptive CMAC-based guidance law.
authors.affiliation: Department of Electrical Engineering, Yuan-Ze University, Chung-Li 320 Taiwan, ROC. cml@saturn.yzu.edu.tw
authors.forename: Chih-Min
authors.initials: CM
authors.lastname: Lin
authors.forename: Ya-Fu
authors.initials: YF
authors.lastname: Peng
mesh_terms: D000465:Algorithms; D000818:Animals; D032701:Biomimetics / Q000379:methods*; D002531:Cerebellum / Q000502:physiology*; D003198:Computer Simulation; D005246:Feedback / Q000502:physiology; D006801:Humans; D008959:Models, Neurological; D009068:Movement / Q000502:physiology*; D009415:Nerve Net / Q000502:physiology*; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated / Q000379:methods; D012815:Signal Processing, Computer-Assisted; D014857:Warfare