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20242026
most citedUpdate-Aware Robust Optimal Model Predictive Control for Nonlinear Systems

1 citations · 1 across the 8 of their papers we have counts for

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8 papers

math.OC2026

Generalized Semi-Infinite Programming for Robust Optimal Control with Decision-Dependent Uncertainty

J. Wehbeh, E. C. Kerrigan, E. Scaccia

Generalized semi-infinite programs (GSIPs) arise in robust optimal control whenever the admissible uncertainty depends on the state or controls. Existing GSIP methods either impose…

eess.SY2026

Exact Continuous Reformulations of Logic Constraints in Nonlinear Optimization and Optimal Control Problems

Jad Wehbeh, Eric C. Kerrigan

Many nonlinear optimal control and optimization problems involve constraints that combine continuous dynamics with discrete logic conditions. Standard approaches typically rely on…

eess.SY2025

Optimistic vs Pessimistic Uncertainty Model Unfalsification

Jannes Hühnerbein, Jad Wehbeh, Eric C. Kerrigan

We present a novel, input-output data-driven approach to uncertainty model identification. As the true bounds and distributions of system uncertainties ultimately remain unknown, w…

eess.SY2025

Smooth Logic Constraints in Nonlinear Optimization and Optimal Control Problems

J. Wehbeh, E. C. Kerrigan

In some optimal control problems, complex relationships between states and inputs cannot be easily represented using continuous constraints, necessitating the use of discrete logic…

eess.SY2025★ 1 cited

Update-Aware Robust Optimal Model Predictive Control for Nonlinear Systems

J. Wehbeh, E. C. Kerrigan

Robust optimal or min-max model predictive control (MPC) approaches aim to guarantee constraint satisfaction over a known, bounded uncertainty set while minimizing a worst-case per…

math.OC2025

State-Dependent Uncertainty Modeling in Robust Optimal Control Problems through Generalized Semi-Infinite Programming

J. Wehbeh, E. C. Kerrigan

Generalized semi-infinite programs (generalized SIPs) are problems featuring a finite number of decision variables but an infinite number of constraints. They differ from standard…

eess.SY2024

Robust Output Feedback of Nonlinear Systems through the Efficient Solution of Min-Max Optimization Problems

Jad Wehbeh, Eric C. Kerrigan

We examine robust output feedback control of discrete-time nonlinear systems with bounded uncertainties affecting the dynamics and measurements. Specifically, we demonstrate how to…

math.OC2024

Semi-Infinite Programs for Robust Control and Optimization: Efficient Solutions and Extensions to Existence Constraints

Jad Wehbeh, Eric C. Kerrigan

Discrete-time robust optimal control problems generally take a min-max structure over continuous variable spaces, which can be difficult to solve in practice. In this paper, we ext…