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This nonlinear equation is then utilized by a model predictive controller which regulates the protein crystal to desired shapes subject to manipulated input constraints.
These models are used by a Model Predictive Controller to impose the internal actuator configuration that steers the glider to the desired attitude.
This optimal maintenance planning (OMP) problem is aptly formulated as an optimal control problem under control system framework, and solved by a model predictive control (MPC) approach.
This framework formulates the control transfer between the driver and the system as a constrained optimization problem which is solved online by a model predictive controller.
Application to a solar heating supply system with two storages demonstrates the effect of minimizing the use of additional heating and the realization by a model predictive control strategy.
In random order, diluted (1 5 dilution with saline [154 mmol/l NaCl]; 20 U/ml) or standard strength (100 U/ml) insulin aspart was administered via an insulin pump as a meal bolus and then overnight by closed-loop insulin delivery as determined by a model predictive algorithm.
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All LitCog patients were matched to a census block group, and a health literacy estimate derived by the predictive model.
Apart from that, the higher level controller of each HEV uses the recuperation information from the lower level controller and provides it the optimal velocity profile by solving its problem in a model predictive control framework.
It is realized by formulating a Model Predictive Control (MPC) problem, which is solved via parametric programming technique to obtain the explicit control action function.
In the proposed design procedure, the two objectives are achieved by matching a model predictive controller (MPC), enforcing constraints satisfaction, with a linear controller designed to guarantee string stability.
By applying a model predictive control (MPC) method, we formulate the problem of finding the optimal joint train regulation and passenger flow control strategy as the problem of solving a set of quadratic programming (QP) problems, under which an optimal control law can be numerically calculated efficiently using a quadratic programming algorithm.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com