3 papers
eess.SY2024
Distributionally Robust Stochastic Data-Driven Predictive Control with Optimized Feedback Gain
Ruiqi Li, John W. Simpson-Porco, Stephen L. Smith
We consider the problem of direct data-driven predictive control for unknown stochastic linear time-invariant (LTI) systems with partial state observation. Building upon our previo…
eess.SY2023
Stochastic Control Barrier Functions with Bayesian Inference for Unknown Stochastic Differential Equations
Chuanzheng Wang, Yiming Meng, Jun Liu +1
Control barrier functions are widely used to synthesize safety-critical controls. However, the presence of Gaussian-type noise in dynamical systems can generate unbounded signals a…
eess.SY2023
Stochastic Data-Driven Predictive Control with Equivalence to Stochastic MPC
Ruiqi Li, John W. Simpson-Porco, Stephen L. Smith
We propose a data-driven receding-horizon control method dealing with the chance-constrained output-tracking problem of unknown stochastic linear time-invariant (LTI) systems with…