Publications associées à Robust stability properties of soft constrained MPC

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

Maryam Kamgarpour, Luca Furieri, Na Li

It is known that the set of internally stabilizing controller

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

is non-convex, but it admits convex characterizations using certain closed-loop maps: a classical result is the {Youla parameterization}, and two recent notions are t ...

2020

Robust stability properties of soft constrained MPC

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

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

Critical degeneracy in a nonlinear hyperbolic equation can produce atypical instability

Data-Driven Control and Optimization under Noisy and Uncertain Conditions

Homothetic Tube Model Predictive Control With Multi-Step Predictors

A combined Control by Interconnection—Model Predictive Control design for constrained Port-Hamiltonian systems

Nonlinear Transient Stability Analysis of Phased-Locked Loop Based Grid-Following Voltage Source Converters Using Lyapunov’s Direct Method

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

Kernel methods and Model predictive approaches for Learning and Control

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

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

Critical degeneracy in a nonlinear hyperbolic equation can produce atypical instability

A combined Control by Interconnection—Model Predictive Control design for constrained Port-Hamiltonian systems

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

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

Data-Driven Control and Optimization under Noisy and Uncertain Conditions

Kernel methods and Model predictive approaches for Learning and Control

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

Homothetic Tube Model Predictive Control With Multi-Step Predictors

Nonlinear Transient Stability Analysis of Phased-Locked Loop Based Grid-Following Voltage Source Converters Using Lyapunov’s Direct Method