this article deals with the issues associated with developing a new design methodology for the nonlinear model-predictive control (mpc) of a chemical plant. a combination of multiple neural networks is selected and used to model a nonlinear multi-input multi-output (mimo) process with time delays.  an optimization procedure for a neural mpc algorithm based on this model is then developed. the p...

In this work, an optimization-based inverse-design method is provided for multi-input–multioutput (MIMO) metastructured devices. Typically, methods use a full-wave solver in conjunction with optimization routine to design Due the computational cost, approach not practical designing electrically large aperiodic To address issue, 2-D circuit network using reduced-order models of metastruct...