39 citations · 84 across the 9 of their papers we have counts for
9 papers
Distributionally robust model predictive control for wind farms
Christoph Mark, Steven Liu
In this paper, we develop a distributionally robust model predictive control framework for the control of wind farms with the goal of power tracking and mechanical stress reduction…
Recursively feasible Data-driven Distributionally Robust Model Predictive Control with additive disturbances
Christoph Mark, Steven Liu
In this paper we propose a data-driven distributionally robust Model Predictive Control framework for constrained stochastic systems with unbounded additive disturbances. Recursive…
Data-driven Distributionally Robust MPC: An indirect feedback approach
Christoph Mark, Steven Liu
This paper presents a distributionally robust stochastic model predictive control (SMPC) approach for linear discrete-time systems subject to unbounded and correlated additive dist…
Stochastic Model Predictive Control for tracking of distributed linear systems with additive uncertainty
Christoph Mark, Steven Liu
In this paper, we propose a chance constrained stochastic model predictive control scheme for reference tracking of distributed linear time-invariant systems with additive stochast…
A Framework for Quasi Time-Optimal Nonlinear Model Predictive Control with Soft Constraints
Joe Ismail, Steven Liu
In many mechatronic applications, controller input costs are negligible and time optimality is of great importance to maximize the productivity by executing fast positioning maneuv…
Stochastic MPC with Distributionally Robust Chance Constraints
Christoph Mark, Steven Liu
In this paper we discuss distributional robustness in the context of stochastic model predictive control (SMPC) for linear time-invariant systems. We derive a simple approximation…
Tube-based Robust Model Predictive Control for a Distributed Parameter System Modeled as a Polytopic LPV (extended version)
Joe Ismail, Steven Liu
Distributed parameter systems (DPS) are formulated as partial differential equations (PDE). Especially, under time-varying boundary conditions, PDE introduce force coupling. In the…
A stochastic output-feedback MPC scheme for distributed systems
Christoph Mark, Steven Liu
In this paper, we present a novel stochastic output-feedback MPC scheme for distributed systems with additive process and measurement noise. The chance constraints are treated with…
A stochastic MPC scheme for distributed systems with multiplicative uncertainty
Christoph Mark, Steven Liu
This paper presents a Distributed Stochastic Model Predictive Control algorithm for networks of linear systems with multiplicative uncertainties and local chance constraints on the…