Building systems are subject of dynamic system that have a general feature of non-linearity
and in turn, present us with different challenges for its optimized control of energy-saving …

This article proposes a new incremental model predictive control (IMPC) strategy, which
allows for constrained control of a robot manipulator, while the resulting incremental model …

This paper studies a shortest-time dissipation trajectory of a tumbling target after being
captured by a space manipulator. A time-optimal control problem (OCP) that considers target …

This article presents a novel algorithm for adaptive explicit nonlinear model predictive
control (eNMPC) with applications to fault tolerance. In order to account for plant-model …

With building heating, ventilation, and air conditioning (HVAC) systems accounting for 50%
the energy consumption in the building sector in the United States, there is a need to …

With building heating, ventilation, and air conditioning (HVAC) systems accounting for 20%
of the energy consumption in the United States, there is a need to develop and implement …

In this paper, we propose an adaptive tube-based incremental model predictive controller
(TIMPC) for a robot manipulator. First, a nominal incremental model predictive controller …

Model predictive control (MPC) has become a widely used control strategy in aerospace,
process control, and automotive applications due to its optimization-based structure that …

This paper proposes a prediction method for spatial non-cooperative measurement
information based on the Koopman operator, aiming at the problem of incomplete or missing …

Robot manipulators have been widely used in scientific research and engineering
applications, such as space exploration, mental spinning and polishing, cargo handling …