Systems identification of servomechanism parameters using jellyfish, particle swarm and constraint optimization

BE Nyong-Bassey, AM Epemu - Nigerian Journal of Technology, 2022 - ajol.info
In this paper, DC servomechanism parameters were identified offline using Jellyfish, particle
swarm and constraint optimization techniques in a MATLAB simulation environment with …
被引用次数：3 相关文章

Systems Identification of Servomechanism Parameters using Jellyfish, Particle Swarm and Constraint Optimization.

BE Nyong-Bassey, AM Epemu - Nigerian Journal of …, 2022 - search.ebscohost.com
In this paper, DC servomechanism parameters were identified offline using Jellyfish, particle
swarm and constraint optimization techniques in a MATLAB simulation environment with …

Systems Identification of Servomechanism Parameters using Jellyfish, Particle Swarm and Constraint Optimization

BE Nyong-Bassey, AM Epemu - Nigerian Journal of Technology, 2022 - nijotech.com
In this paper, DC servomechanism parameters were identified offline using Jellyfish, particle
swarm and constraint optimization techniques in a MATLAB simulation environment with …

Systems Identification of Servomechanism Parameters using Jellyfish, Particle Swarm and Constraint Optimization

BE Nyong-Bassey, AM Epemu - Nigerian Journal of Technology, 2022 - nijotech.com
In this paper, DC servomechanism parameters were identified offline using Jellyfish, particle
swarm and constraint optimization techniques in a MATLAB simulation environment with …