Solving an Inverse Control Problem Using Predictive Methods - Chad J. Davis
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Model Predictive Control (MPC) is the class of control methods that optimize a specified performance index in order to minimize weighted future output deviations from a set point trajectory. MPC operates on a receding horizon, calculating a set of inputs at each time step. The controller then implements the first input and the process begins again. The performance index can also include a weighted and/or co ... Full description
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Description
Model Predictive Control (MPC) is the class of control methods that optimize a specified performance index in order to minimize weighted future output deviations from a set point trajectory. MPC operates on a receding horizon, calculating a set of inputs at each time step. The controller then implements the first input and the process begins again. The performance index can also include a weighted and/or constrained control sequence which can be of different length than the output horizon.
More Information
| Author | Chad J. Davis |
|---|---|
| Publisher | Creative Media Partners, LLC |
| Release year | 2012 |
| Cover type | Softcover |
| EAN | 9781288302314 |