For bionic underwater robots, it is a great challenge for depth control due to model uncertainty and strong nonlinearity. To this end, we propose a data-driven model predictive control (MPC) approach ...

Interaction measure determines decentralized and sparse control configurations for a multivariable process control. This paper investigates interval type-2 Takagi-Sugeno fuzzy (IT2TSF) model based ...

Leveraging this method, a Q-learning-based Nonlinear Model Predictive Control (QL-NMPC) framework is developed and trained in a simulated environment, where the agent learns to regulate temperature ...

Abstract The Flory−Huggins interaction is measured for a model rod−coil block copolymer system, poly (alkoxyphenylenevinylene- b -isoprene), by fitting the interfacial segregation of block copolymer ...