Motor Learning for Manoeuvring Control of a Remotely Operated Vehicle
نویسندگان
چکیده
The paper investigates the application of a bio-inspired control paradigm encompassing nonlinear function approximation and adaptive learning to design manoeuvring controller for remotely operated vehicle. is adopted overcome limitations introduced by unknown dynamics as well environmental disturbances. proposed compared against traditional with respect tracking performance effort. Simulation results show that displays better when structure system unknown. Further, shows offline training functional approximator helps in delivering smoother effort, integral action fulfils disturbance rejection.
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ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2022
ISSN: ['2405-8963', '2405-8971']
DOI: https://doi.org/10.1016/j.ifacol.2022.10.416