Publications related to Time-variant system

Data-driven LPV Control for Micro-disturbance Rejection in a Hybrid Isolation Platform

A novel approach for linear parameter-varying (LPV) controller synthesis for adaptive rejection of time-varying sinusoidal disturbances is proposed. Only the frequency response data of a linear time-invariant (LTI) multiple-input multiple-output (MIMO) sys ...

2024

Data-driven LPV Disturbance Rejection Control with IQC-based Stability Guarantees for Rate-bounded Scheduling Parameter Variations

Alireza Karimi, Elias Sebastian Klauser

In this paper, the challenge of asymptotically rejecting sinusoidal disturbances with unknown time-varying frequency and bounded rate is explored. A novel data-driven approach for designing linear parameter-varying (LPV) con- troller is introduced, leverag ...

2024

Non-parametric IQC Multipliers in Data-Driven Robust Controller Synthesis

Alireza Karimi, Vaibhav Gupta, Elias Sebastian Klauser

The paper presents a robust data-driven controller synthesis method for generalised multi-input multioutput (MIMO) systems. Using the frequency response of a linear time-invariant (LTI) MIMO system and characterising perturbations through Integral Quadrati ...

2024

Data-driven IQC-Based Robust Control Design for Hybrid Micro-disturbance Isolation Platform

Alireza Karimi, Vaibhav Gupta, Elias Sebastian Klauser

A novel approach for robust controller synthesis, which models uncertainty as an elliptical set, is proposed in the paper. Given a set of frequency response functions of linear time-invariant (LTI) multiple-input multiple-output (MIMO) systems, the approac ...

2023

Achieving Optimal Performance With Data-Driven Frequency-Based Control Synthesis Methods

Alireza Karimi, Philippe Louis Schuchert

Frequency Response Function (FRF)-based control synthesis methods for Linear Time-Invariant (LTI) systems have been widely used in control theory and industry. Recently, there has been renewed interest in these methods, employing numerical optimization too ...

Piscataway2023

Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems

Giancarlo Ferrari Trecate, Luca Furieri, Clara Lucía Galimberti

We address the problem of designing stabilizing control policies for nonlinear systems in discrete-time, while minimizing an arbitrary cost function. When the system is linear and the cost is convex, the System Level Synthesis (SLS) approach offers an effe ...

IEEE2022

A Note on BIBO Stability

Michaël Unser

The statements on the BIBO stability of continuoustime convolution systems found in engineering textbooks are often either too vague (because of lack of hypotheses) or mathematically incorrect. What is more troubling is that they usually exclude the identi ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Distributed state estimation for discrete-time linear time invariant systems: A survey

Colin Neil Jones, Francisco Fernandes Castro Rego

Motivated by the increasing availability and quality of miniaturized sensors, computers, and wireless communication devices arid given their enormous potential, the use of wireless sensor networks (WSN) has become widespread. Because in many applications o ...

2019

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Time-variant system

Data-driven LPV Control for Micro-disturbance Rejection in a Hybrid Isolation Platform

Data-driven LPV Disturbance Rejection Control with IQC-based Stability Guarantees for Rate-bounded Scheduling Parameter Variations

Frequency domain data-driven robust and optimal control

Non-parametric IQC Multipliers in Data-Driven Robust Controller Synthesis

Data-driven IQC-Based Robust Control Design for Hybrid Micro-disturbance Isolation Platform

Achieving Optimal Performance With Data-Driven Frequency-Based Control Synthesis Methods

Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems

A Note on BIBO Stability

Distributed state estimation for discrete-time linear time invariant systems: A survey

An Input–Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis

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Chat with Graph Search

Data-driven LPV Control for Micro-disturbance Rejection in a Hybrid Isolation Platform

Frequency domain data-driven robust and optimal control

Data-driven LPV Disturbance Rejection Control with IQC-based Stability Guarantees for Rate-bounded Scheduling Parameter Variations

Data-driven IQC-Based Robust Control Design for Hybrid Micro-disturbance Isolation Platform

Achieving Optimal Performance With Data-Driven Frequency-Based Control Synthesis Methods

Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems

A Note on BIBO Stability

Distributed state estimation for discrete-time linear time invariant systems: A survey

An Input–Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis