On optimal output regulation for linear systems

DOI10.1080/0020717031000073054zbMath1048.93042OpenAlexW2103422919MaRDI QIDQ4810941

Guoyong Shi, Peddapullaiah Sannuti, Anton A. Stoorvogel, Ali Saberi

Publication date: 17 August 2004

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/0020717031000073054

Mathematics Subject Classification ID

Design techniques (robust design, computer-aided design, etc.) (93B51)

Related Items (13)

Almost output regulation of LFT systems via gain-scheduling control ⋮ Data-driven optimal output regulation for unknown linear discrete-time systems based on parameterization approach ⋮ Reinforcement learning‐based robust optimal output regulation for constrained nonlinear systems with static and dynamic uncertainties ⋮ Incremental reinforcement learning and optimal output regulation under unmeasurable disturbances ⋮ A synthesis framework for robust gain-scheduling controllers ⋮ Nonovershooting and nonundershooting exact output regulation ⋮ Reinforcement learning and non-zero-sum game output regulation for multi-player linear uncertain systems ⋮ Revisited LQ output-feedback control: minimax controller for a set of initial states ⋮ Adaptive optimal output regulation of linear discrete-time systems based on event-triggered output-feedback ⋮ Learning-based adaptive optimal output regulation of linear and nonlinear systems: an overview ⋮ Optimal output regulation for unknown continuous-time linear systems by internal model and adaptive dynamic programming ⋮ Adaptive optimal output tracking of continuous-time systems via output-feedback-based reinforcement learning ⋮ Hybrid almost output regulation of linear impulsive systems with average dwell-time

Cites Work

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• A new approach to the perfect regulation and the bounded peaking in linear multivariable control systems
• Robust solutions to linear multivariable control problems
• The Linear Multivariable Regulator Problem
• The output control of linear time-invariant multivariable systems with unmeasurable arbitrary disturbances
• Performance with regulation constraints

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