Data-driven model reference control with asymptotically guaranteed stability

From MaRDI portal
Publication:3005878

DOI10.1002/acs.1212zbMath1233.93102OpenAlexW2133715004WikidataQ58220201 ScholiaQ58220201MaRDI QIDQ3005878

Klaske van Heusden, Alireza Karimi, Dominique Bonvin

Publication date: 10 June 2011

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: http://infoscience.epfl.ch/record/128542




Related Items

Data-driven tuning of model-reference controllers for stable MIMO plantsNon-parametric methods for \({\mathcal L}_2\)-gain estimation using iterative experimentsModel-Free control performance improvement using virtual reference feedback tuning and reinforcement Q-learningVirtual reference feedback tuning for linear discrete-time systems with robust stability guarantees based on set membershipDirect data‐driven design of switching controllersDirect learning of LPV controllers from dataEnhancing statistical performance of data-driven controller tuning via \(\mathcal{L}_2-\)regularizationFrom model-based control to data-driven control: survey, classification and perspectiveA model-free design of reduced-order controllers and application to a DC servomotorOn identification methods for direct data-driven controller tuningData-driven model reference control with asymptotically guaranteed stabilityOptimal input design for direct data-driven tuning of model-reference controllersLimited-complexity controller tuning: a set membership data-driven approachOptimal direct data-driven control with stability guaranteesA comparison of model-based and data-driven controller tuningA Measurement-Based Approach for Designing Fixed-Order Controllers for Unknown Closed-Loop ArchitectureAdaptive Controller Design for Unknown Systems Using Measured DataDirect data-driven design of LPV controllers with soft performance specificationsDeterministic continuous-time virtual reference feedback tuning (VRFT) with application to PID designA measurement-based approach for designing reduced-order controllers with guaranteed bounded errorAdaptive output-feedback tracking control for a class of nonlinear systems with input saturation: a multi-dimensional Taylor network-based approach



Cites Work