On the linear quadratic data-driven control
Abstract
The classical approach for solving control problems is model based: first a model representation is derived from given data of the plant and then a control law is synthesized using the model and the control specifications. We present an alternative approach that circumvents the explicit identification of a model representation. The considered control problem is finite horizon linear quadratic tracking. The results are derived assuming exact data and the optimal trajectory is constructed off-line.
Topics
Field: Engineering · Subfield: Control and Systems Engineering
Keywords
Representation (politics),Trajectory,Quadratic equation,Optimal control,Identification (biology),Control (management),Computer science,Control theory (sociology),Data modeling,System identification
UN Sustainable Development Goals
- Peace, Justice and strong institutions (0.78)
All Available Versions
- Landing page publishedVersion
- PDF Landing page — ePrints Soton (University of Southampton) acceptedVersion
- Landing page submittedVersion
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