Water is a resource essential for life, as valuable as it is limited. For this reason, and especially in contexts of water ...

Therefore, we posit that the three types of modulations should all be involved in sensorimotor computation in predictive motor control. Furthermore, recent studies show that interactions of PPC-motor ...

Model Predictive Control (MPC) is a widely used optimization-based control strategy for constrained systems. MPC relies on the repeated online solution of an optimal control problem, which determines ...

This document explains the implementation of the Koopman Operator in conjunction with Model Predictive Control (MPC) . A nonlinear dynamic system is controlled by leveraging the linearity of the ...

Model Predictive Control (MPC), or receding horizon control, aims to maximize an objective function over a planning horizon by leveraging a dynamics model and a planner to select actions. The ...

The Intelligent Condition Monitoring Box (iCOMOX) is an open-source development platform for condition-based monitoring of equipment, assets, and ...

This paper presents a supervisor model-switch method for model predictive control of room temperature using a one-to-three variable refrigerant flow (VRF) system. This method utilizes system ...

This paper focuses on the control of megawatt-class variable-speed pitch wind turbines. Figure 2 shows a specific flow chart of the methodology of this study. FIGURE 1. Diagram of wind energy ...

3) The model predictive control algorithm used in this article can better optimize the regional voltage. When the voltage on the grid side rises or falls, the MPC controller sends instructions to the ...