Significant increases in processing power, coupled with the miniaturization of processing
units operating at low power levels, has motivated the embedding of modern control systems …

In this paper we present a new model predictive control system for the depth of hypnosis in
general anesthesia. The depth of hypnosis is measured by the Bispectral Index Scale signal …

In the explicit model predictive control (EMPC), memory increases exponentially with the
number of states, inputs, constraints, and prediction horizons; this often limits its applicability …

This article is about a real-time model predictive control algorithm for large-scale, structured
linear systems with polytopic control constraints. The proposed controller receives the …

This study proposes an efficient field programmable gate array (FPGA) implementation
method of an enhanced space vector pulse width modulation (SVPWM) algorithm for a delta …

This work presents a simulation study of an event-based predictive control system for depth
of hypnosis in anesthesia using bispectral index as a controlled variable. The developed …

During surgical procedures, bispectral index (BIS) is a well-known measure used to
determine the patient's depth of anesthesia (DOA). However, BIS readings can be subject to …

Model predictive control (MPC) has emerged as an excellent control strategy owing to its
ability to include constraints in the control optimization and robustness to linear as well as …

This letter proposes a parallelizable algorithm for linear-quadratic model predictive control
(MPC) problems with state and input constraints. The algorithm itself is based on a parallel …

This paper deals with the anesthesia control, using bispectral index (BIS) as a measure of
the depth of anesthesia; controlled by hybrid model predictive control strategy. The …