4 papers
Regret of Preview Controllers
Jietian Liu, Peter Seiler
This paper studies preview control in both the and regret-optimal settings. The plant is modeled as a discrete-time, linear time-invariant system subject to external dis…
Robust Regret Control with Uncertainty-Dependent Baseline
Jietian Liu, Peter Seiler
This paper proposes a robust regret control framework in which the performance baseline adapts to the realization of system uncertainty. The plant is modeled as a discrete-time, un…
Stochastic LQR Design With Disturbance Preview
Jietian Liu, Laurent Lessard, Peter Seiler
This paper considers the discrete-time, stochastic LQR problem with steps of disturbance preview information where is finite. We first derive the solution for this problem…
Learning Reduced-Order Linear Parameter-Varying Models of Nonlinear Systems
Patrick J. W. Koelewijn, Rajiv Sing, Peter Seiler +1
In this paper, we consider the learning of a Reduced-Order Linear Parameter-Varying Model (ROLPVM) of a nonlinear dynamical system based on data. This is achieved by a two-step pro…