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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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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

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

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

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

Convex Combination of Diffusion Strategies Over Networks

First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance

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

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

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