Intelligent control of a constant turning force system with fixed metal removal rate

► This paper developed a hybrid self-organizing fuzzy and radial basis-function neural-network controller (HSFRBNC) for turning systems. ► The HSFRBNC eliminates the problem of a self-organizing fuzzy controller (SOFC) implementation. ► This study used a Levenberg-Marquardt algorithm to minimize the cost function of the radial basis-function neural-network. ► This study demonstrated that the HSFRBNC achieved better control performance than the SOFC for the control of a turning system.