This paper describes the main issues encountered when applying model predictive control
to hybrid processes. Hybrid model predictive control (HMPC) is a research field non-fully …

In this paper, we develop a family of solution algorithms based upon computational
intelligence for solving the dynamic multi-vehicle pick-up and delivery problem formulated …

Model predictive control (MPC) is one of the main process control techniques explored in the
recent past; it is the amalgamation of different technologies used to predict future control …

In this paper we describe the design of hybrid fuzzy predictive control based on a genetic
algorithm (GA). We also present a simulation test of the proposed algorithm and a …

In this work, we develop a state estimation scheme for nonlinear autonomous hybrid
systems, which are subjected to stochastic state disturbances and measurement noise …

In this paper we present a method of hybrid predictive control (HPC) based on a fuzzy
model. The identification methodology for a nonlinear system with discrete state–space …

Hybrid Predictive Control for Dynamic Transport Problems develops methods for the design
of predictive control strategies for nonlinear-dynamic hybrid discrete-/continuous-variable …

Efficient control of a gas metal arc welding (GMAW) process enables one to obtain high
quality products as a consequence of achieving a high quality weld. Although control of the …

This paper proposes a new adaptive nonlinear model predictive control (NMPC)
methodology for a class of hybrid systems with mixed inputs. For this purpose, an online …

This paper presents an efficient optimization algorithm suitable for online solution of mixed
integer nonlinear programs resulting from the model predictive control (MPC) of nonlinear …