Controller design and value function approximation for nonlinear dynamical systems

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We present a combination technique based on mixed differences of both spatial approximations and quadrature formulae for the stochastic variables to solve efficiently a class of optimal control problems (OCPs) constrained by random partial differential equ ...

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This paper introduces a novel method for data-driven robust control of nonlinear systems based on the Koopman operator, utilizing Integral Quadratic Constraints (IQCs). The Koopman operator theory facilitates the linear representation of nonlinear system d ...

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This article investigates the optimal containment control problem for a class of heterogeneous multi-agent systems with time-varying actuator faults and unmatched disturbances based on adaptive dynamic programming. Since there exist unknown input signals i ...

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This paper studies the problem of online performance optimization of constrained closed-loop control systems, where both the objective and the constraints are unknown black-box functions affected by exogenous time-varying contextual disturbances. A primal- ...

We consider control of dynamical systems through the lens of competitive analysis. Most prior work in this area focuses on minimizing regret, that is, the loss relative to an ideal clairvoyant policy that has noncausal access to past, present, and future d ...

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Dynamical System (DS)-based closed-loop control is a simple and effective way to generate reactive motion policies that well generalize to the robotic workspace, while retaining stability guarantees. Lately the formalism has been expanded in order to handl ...

Controller design and value function approximation for nonlinear dynamical systems

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Stability: a search for structure

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

A Combination Technique for Optimal Control Problems Constrained by Random PDEs

Unlabeled Principal Component Analysis and Matrix Completion

Koopman-based Data-driven Robust Control of Nonlinear Systems Using Integral Quadratic Constraints

Spectral Estimators for High-Dimensional Matrix Inference

The Two Times Problem: Where Is the Problem?

Distributionally Robust Linear Quadratic Control

Optimal containment control for a class of heterogeneous multi-agent systems with actuator faults

Multi-robot task allocation for safe planning against stochastic hazard dynamics

The multivariate Serre conjecture ring

Linear Complexity Self-Attention With 3rd Order Polynomials

Approximation Algorithms for Allocation and Network Design

Optimized numerical solutions of SIRDVW multiage model controlling SARS-CoV-2 vaccine roll out: An application to the Italian scenario

Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints

Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control

Timing and spatial selection bias in rapid extreme event attribution

Time vs. Truth: Age-Distortion Tradeoffs and Strategies for Distributed Inference

Hybrid Quadratic Programming - Pullback Bundle Dynamical Systems Control