Model predictive control (MPC) is widely used in resource optimization problems because it naturally deals with bounded controls and states allows information to be included. However, at each sampling instant, an problem must solved. Resource switching actions lead integer decision variables, which are computationally costly, particularly when the number of variables large. As a result, approac...

This work presents an explicit–implicit procedure to compute a model predictive control (MPC) law with guarantees on recursive feasibility and asymptotic stability. The approach combines offline-trained fully-connected neural network online primal active set solver. provides input initialization while the method ensures is trained primal–dual loss function, aiming generate sequences that are fe...

the current study was aimed to examine the relationship between alexithymia and social anxiety among schizophrenic inpatients. the study was of descriptive and predictive nature. sixty inpatients with dsm-v schizophrenia were recruited from niayesh psychiatric hospital in 2015 in tehran, iran. they were interviewed with the anxiety disorders section of the scid for dsm-iv. the structured clinic...