Parameter identification of conservative Hamiltonian systems using first integrals
作者：
Highlights：
• A parameter identification methodology for Hamiltonian systems is presented.
• First integrals are used to design the proposed technique.
• Parameter convergence is demonstrated through a Lyapunov-based approach.
• Nonlinearly parametrizable parameters can be estimated.
• Adaptation gains are tuned by using a meta-heuristic algorithm.
摘要
•A parameter identification methodology for Hamiltonian systems is presented.•First integrals are used to design the proposed technique.•Parameter convergence is demonstrated through a Lyapunov-based approach.•Nonlinearly parametrizable parameters can be estimated.•Adaptation gains are tuned by using a meta-heuristic algorithm.
论文关键词：Parameter identification,Hamiltonian system,First integral,Cuckoo search algorithm,Dirty derivative,Sliding modes
论文评审过程：Received 5 June 2019, Revised 1 October 2019, Accepted 20 October 2019, Available online 6 November 2019, Version of Record 2 December 2019.
论文官网地址：https://doi.org/10.1016/j.amc.2019.124860
