7 citations · 7 across the 2 of their papers we have counts for
4 papers
Robust Data-Enabled Predictive Control: Tractable Formulations and Performance Guarantees
Linbin Huang, Jianzhe Zhen, John Lygeros +1
We introduce a general framework for robust data-enabled predictive control (DeePC) for linear time-invariant (LTI) systems. The proposed framework enables us to obtain model-free…
A Unified Theory of Robust and Distributionally Robust Optimization via the Primal-Worst-Equals-Dual-Best Principle
Jianzhe Zhen, Daniel Kuhn, Wolfram Wiesemann
Robust and distributionally robust optimization are modeling paradigms for decision-making under uncertainty where the uncertain parameters are only known to reside in an uncertain…
Improving Tractability of Real-Time Control Schemes via Simplified -Lemma
Goran Banjac, Jianzhe Zhen, Dick den Hertog +1
Various control schemes rely on a solution of a convex optimization problem involving a particular robust quadratic constraint, which can be reformulated as a linear matrix inequal…
Quadratic Regularization of Data-Enabled Predictive Control: Theory and Application to Power Converter Experiments
Linbin Huang, Jianzhe Zhen, John Lygeros +1
Data-driven control that circumvents the process of system identification by providing optimal control inputs directly from system data has attracted renewed attention in recent ye…