This paper presents a data-driven state feedback control law, based on a linear quadratic regulator (LQR) design, for systems with exogenous inputs.
Jul 1, 2022 · In this paper, we extend the data-driven LQR approach presented for linear time-invariant (LTI) systems in [13] to systems with exogenous inputs ...
This approach circumvents the Riccati equation and the feedback gain is derived directly from the knowledge of the inputs and the states, without using an ...
Data-Driven LQR Design for LTI systems with Exogenous Inputs. Vijayanand Digge, Ramkrishna Pasumarthy. Data-Driven LQR Design for LTI systems with Exogenous ...
Data-driven lqr design for lti systems with exogenous inputs. V Digge, R Pasumarthy. 2022 30th Mediterranean Conference on Control and Automation (MED), 239-244 ...
We present an extended linear quadratic regulator (LQR) design for continuous-time linear time invariant (LTI) systems in the presence of exogenous inputs.
Jun 28, 2024 · In a recent work [11], a data-driven. LQR controller is designed, considering explicitly the effect of exogenous inputs. This approach ...
Oct 22, 2024 · This letter presents a data-driven solution to the discrete-time infinite horizon linear quadratic regulator (LQR) problem.
This paper proposes a cost effective control law for a linear time invariant (LTI) system having an extra set of exogenous inputs (or external disturbances)
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This paper developed a novel extended LQR control design for continuous time LTI systems perturbed with exogenous inputs. The design guarantees the net state ...