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Effects of incremental nano-selenium supplementation on growth performance, carcass traits, blood profiles, and economic efficiency in V-line rabbits. [PDF]
Sci RepEl-Shafey AS +5 more
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High Bandwidth Control of a Piezo-Actuated Nanopositioning System Based on a Discrete-Time High-Order Dual-Loop Framework. [PDF]
Sensors (Basel)Yu L, Zhang X, Fatikow S.
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Hybrid deep learning and RSM modeling of diesel engine performance using TiO<sub>2</sub> doped butanol and waste plastic oil blends. [PDF]
Sci RepSunil Kumar K +6 more
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The Linear Quadratic Regulator
2021In order to illustrate the use of dynamic programming and the Bellman equation we now consider a classical engineering problem: The linear quadratic regulator or LQR. The LQR is a well-known design technique in which a process or machine has its settings optimized by minimizing a quadratic cost function. The cost function is often defined as the sum of
Tomas Björk +2 more
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Model-Free Linear Quadratic Regulator
2021We review recent results on the convergence and sample complexity of the random search method for the infinite-horizon linear quadratic regulator (LQR) problem with unknown model parameters. This method directly searches over the space of stabilizing feedback gain matrices and, in spite of the lack of convexity, it converges to the globally optimal LQR
Hesameddin Mohammadi +2 more
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Linear Quadratic Regulator: II. Robust Formulations
Automation and Remote Control, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Khlebnikov, M. V., Shcherbakov, P. S.
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