PID neural network decoupling control based on hybrid particle swarm optimization and differential evolution
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Automation and Computing"
DOI: 10.1007/s11633-015-0917-7
Abstract: For complex systems with high nonlinearity and strong coupling, the decoupling control technology based on proportion integration differentiation (PID) neural network (PIDNN) is used to eliminate the coupling between loops. The connection weights of the… read more here.
Keywords: neural network; hybrid particle; particle swarm; swarm optimization ... See more keywords
High precision temperature control performance of a PID neural network-controlled heater under complex outdoor conditions
Sign Up to like & getrecommendations! Published in 2021 at "Applied Thermal Engineering"
DOI: 10.1016/j.applthermaleng.2021.117234
Abstract: Abstract In complex outdoor conditions, radical weather changes can sometimes undermine the precision of temperature control systems, mainly because conventional heater controllers lack the ability to adapt to unpredictable parametric variations. In this paper, a… read more here.
Keywords: heater; temperature; temperature control; controlled heater ... See more keywords