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A Proximal-Point Lagrangian-Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control

Publications associées (30)

Alignment of ND3 molecules in dc-electric fields

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The control of movement and orientation of gas-phase molecules has become the focus of many research areas in molecular physics. Here, ND3 molecules are polarized in a segmented, curved electrostatic guide and adiabatically aligned inside a rotatable mass ...

Aip Publishing2024

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

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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 ...

2024

The effect of smooth parametrizations on nonconvex optimization landscapes

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We develop new tools to study landscapes in nonconvex optimization. Given one optimization problem, we pair it with another by smoothly parametrizing the domain. This is either for practical purposes (e.g., to use smooth optimization algorithms with good g ...

Springer Heidelberg2024

A ride time-oriented scheduling algorithm for dial-a-ride problems

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This paper offers a new algorithm to efficiently optimize scheduling decisions for dial-a-ride problems (DARPs), including problem variants considering electric and autonomous vehicles (e-ADARPs). The scheduling heuristic, based on linear programming theor ...

Pergamon-Elsevier Science Ltd2024

Perturbed Utility Stochastic Traffic Assignment

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This paper develops a fast algorithm for computing the equilibrium assignment with the perturbed utility route choice (PURC) model. Without compromise, this allows the significant advantages of the PURC model to be used in large-scale applications. We form ...

Informs2024

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

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In light of the challenges posed by climate change and the goals of the Paris Agreement, electricity generation is shifting to a more renewable and decentralized pattern, while the operation of systems like buildings is increasingly electrified. This calls ...

EPFL2024

An Iterative Adaptive Dynamic Programming Approach for Macroscopic Fundamental Diagram-Based Perimeter Control and Route Guidance

Nikolaos Geroliminis, Can Chen

Macroscopic fundamental diagrams (MFDs) have been widely adopted to model the traffic flow of large-scale urban networks. Coupling perimeter control and regional route guidance (PCRG) is a promising strategy to decrease congestion heterogeneity and reduce ...

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Frequency domain data-driven robust and optimal control

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The goal of this thesis is to propose pragmatic solutions to real challenges faced in the industry. The scope of this thesis encompasses two subjects: frequency-based structured controller synthesis for linear time-invariant (LTI) systems on one side, and ...

EPFL2024

Randomized low-rank approximation and its applications

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In this thesis we will present and analyze randomized algorithms for numerical linear algebra problems. An important theme in this thesis is randomized low-rank approximation. In particular, we will study randomized low-rank approximation of matrix functio ...

EPFL2024

A Proximal-Point Lagrangian-Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control

Alignment of ND3 molecules in dc-electric fields

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

The effect of smooth parametrizations on nonconvex optimization landscapes

A ride time-oriented scheduling algorithm for dial-a-ride problems

Perturbed Utility Stochastic Traffic Assignment

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

An Iterative Adaptive Dynamic Programming Approach for Macroscopic Fundamental Diagram-Based Perimeter Control and Route Guidance

Frequency domain data-driven robust and optimal control

Randomized low-rank approximation and its applications

Graph Chatbot

Alignment of ND3 molecules in dc-electric fields

High energy-density electrostatic actuators for soft robotics

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

The effect of smooth parametrizations on nonconvex optimization landscapes

A ride time-oriented scheduling algorithm for dial-a-ride problems

Perturbed Utility Stochastic Traffic Assignment

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

An Iterative Adaptive Dynamic Programming Approach for Macroscopic Fundamental Diagram-Based Perimeter Control and Route Guidance

Frequency domain data-driven robust and optimal control

Randomized low-rank approximation and its applications

High energy-density electrostatic actuators for soft robotics