Breaking Silos to Guarantee Control Stability with Communication over Ethernet TSN

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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 ...

We study the problem of performance optimization of closed -loop control systems with unmodeled dynamics. Bayesian optimization (BO) has been demonstrated to be effective for improving closed -loop performance by automatically tuning controller gains or re ...

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 ...

Solid-State Transformers with Input-Series/Output-Parallel configuration offer a convenient solution for AC/DC conversion due to their scalability and modularity. In this configuration, each module experiences a second-order harmonic ripple caused by local ...

This paper proposes a data-driven control design method for nonlinear systems that builds upon the Koopman operator framework. In particular, the Koopman operator is used to lift the nonlinear dynamics to a higher-dimensional space where the so-called obse ...

Modern power distribution systems are experiencing a large-scale integration of Converter-Interfaced Distributed Energy Resources (CIDERs). Their presence complicates the analysis and mitigation of harmonics, whose creation and propagation may be amplified ...

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Control systems operating in real-world environments often face disturbances arising from measurement noise and model mismatch. These factors can significantly impact the perfor- mance and safety of the system. In this thesis, we aim to leverage data to de ...

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Visual perception is indispensable for many real-world applications. However, perception models deployed in the real world will encounter numerous and unpredictable distribution shifts, for example, changes in geographic locations, motion blur, and adverse ...

Breaking Silos to Guarantee Control Stability with Communication over Ethernet TSN

Chat with Graph Search

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

Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints

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

Stability Analysis of Input-Series/Output-Parallel Solid-State Transformers Equipped with Second-Order Harmonic Active Power Filters

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach

Unified Harmonic Power-Flow and Stability Analysis of Power Grids with Converter-Interfaced Distributed Energy Resources

Stability: a search for structure

Systematic design of a multi-input multi-output controller by model-based decoupling: a demonstration on TCV using multi-species gas injection

Data-Driven Control and Optimization under Noisy and Uncertain Conditions

4D printing of Metal-Reinforced double network granular hydrogels

Integration of feedforward and feedback control in the neuromechanics of vertebrate locomotion: a review of experimental, simulation and robotic studies

Hybrid Quadratic Programming - Pullback Bundle Dynamical Systems Control

A geometric optimal control approach for imitation and generalization of manipulation skills

Bending and Stretching in a Narrow Ribbon of Nematic Polymer Networks

Data-driven Methods for Control: from Linear to Lifting

Learning and optimization of anticipatory feedback controllers for robot manipulation

DRONE GAME THAT HIGHLIGHTS ETHICAL AND SUSTAINABILITY IMPLICATIONS OF DESIGN DECISIONS

Real-Time Localization for Closed-Loop Control of Assistive Furniture

Third-harmonic generation monitoring of femtosecond-laser-induced in-volume functional modifications

Making Computer Vision Models Robust and Adaptive