A common setting for the design of iterative learning and repetitive controllers with experimental verification

DOI10.1002/acs.2299zbMath1273.93074OpenAlexW1567418039MaRDI QIDQ2857518

Chris T. Freeman, Paul L. Lewin, Muhammad A. Alsubaie, Zhonglun Cai, Eric Rogers

Publication date: 4 November 2013

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

Full work available at URL: https://eprints.soton.ac.uk/272583/1/Freeman_JACSP_2012.pdf

zbMATH Keywords

experimental verificationcommon designcurrent-error feedbackiterative learning and repetitive controllinear quadratic regulator analysisoutput injection structure

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Design techniques (robust design, computer-aided design, etc.) (93B51) Discrete-time control/observation systems (93C55)

Related Items (3)

Output information based fault-tolerant iterative learning control for dual-rate sampling process with disturbances and output delay ⋮ Robust conditions for iterative learning control in state feedback and output injection paradigm ⋮ An adaptive iterative learning algorithm for boundary control of a flexible manipulator

Cites Work

• The internal model principle for linear multivariable regulators
• Model and experience-based initial input construction for iterative learning control
• Robust monotone gradient-based discrete-time iterative learning control
• Further results on the experimental evaluation of iterative learning control algorithms for non-minimum phase plants
• Repetitive control system: a new type servo system for periodic exogenous signals
• Internal-model-based design of repetitive and iterative learning controllers for linear multivariable systems
• Iterative learning control and repetitive control for engineering practice
• An algebraic approach to iterative learning control
• Residual vibration suppression using Hankel iterative learning control

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