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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 ...

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A first-order primal-dual method with adaptivity to local smoothness

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We consider the problem of finding a saddle point for the convex-concave objective

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System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

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It is known that the set of internally stabilizing controller

\mathcal{C}_{\text{stab}}

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PERGAMON-ELSEVIER SCIENCE LTD2019

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On the Equivalence of Youla, System-Level, and Input-Output Parameterizations

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

A convex set of robust D—stabilizing controllers using Cauchy's argument principle

A first-order primal-dual method with adaptivity to local smoothness

Convex Combination of Diffusion Strategies Over Networks

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance

A data-driven approach to model-reference control with applications to particle accelerator power converters

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

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

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H-infinity Performance

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

A first-order primal-dual method with adaptivity to local smoothness

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H-infinity Performance

A convex set of robust D—stabilizing controllers using Cauchy's argument principle

Convex Combination of Diffusion Strategies Over Networks

First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance

A data-driven approach to model-reference control with applications to particle accelerator power converters

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