A convex data-driven formulation yields the optimal LQI feedback gain for continuous-time systems directly from measured data without system matrices.
Data-based control of continuous- time linear systems with performance specifications
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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The authors adapt closed-loop and IRL parameterizations to continuous time, deriving policy iteration schemes, a data-driven CARE, convex reformulations, and a policy gradient flow while unifying the two approaches.
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Data-driven Linear Quadratic Integral Control: A Convex Formulation and Policy Gradient Approach
A convex data-driven formulation yields the optimal LQI feedback gain for continuous-time systems directly from measured data without system matrices.
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Data-Driven Continuous-Time Linear Quadratic Regulator via Closed-Loop and Reinforcement Learning Parameterizations
The authors adapt closed-loop and IRL parameterizations to continuous time, deriving policy iteration schemes, a data-driven CARE, convex reformulations, and a policy gradient flow while unifying the two approaches.