Journal
IEEE CONTROL SYSTEMS LETTERS
Volume 3, Issue 1, Pages 180-185Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCSYS.2018.2868183
Keywords
Data-driven control; LQR control; Markov parameters; observability matrix
Categories
Funding
- National Council for Scientific and Technological Development (CNPq/BR)
- Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES/BR)
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This letter presents a data-driven solution to the discrete-time infinite horizon linear quadratic regulator (LQR) problem. The state feedback gain is computed directly from a batch of input and state data collected from the plant. Simulation examples illustrate the convergence of the proposed solution to the optimal LQR gain as the number of Markov parameters tends to infinity. Experiments in an uninterruptible power supply are presented, which demonstrate the practical applicability of the design methodology.
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