Robustness analysis of an adjoint optimal iterative learning controller with experimental verification

International Journal of Robust and Nonlinear Control

Volumn 18, Issue 10, 2008, Pages 1089-1113

  Ratcliffe, James D ^a   Hätönen, Jari J ^b   Lewin, Paul L ^a   Rogers, Eric ^a   Owens, David H ^b  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Adjoint ILC; Experimental validation; Robustness

Indexed keywords

ALGORITHMS; BOOLEAN FUNCTIONS; CONTROL THEORY; DEGREES OF FREEDOM (MECHANICS); ELECTRIC NETWORK ANALYSIS; ITERATIVE METHODS; LEARNING SYSTEMS; MILITARY DATA PROCESSING; ROBUST CONTROL; STANDARDS; TUNING; UNCERTAINTY ANALYSIS;

ADJOINT; BALANCE (WEIGHTING); CONVERGENCE (MATHEMATICS); CONVERGENCE SPEEDS; DEGREE OF ROBUSTNESS; DISCRETE TIME (DT); EXPERIMENTAL TESTING; EXPERIMENTAL VERIFICATION; GANTRY ROBOTS; INITIAL STATES; ITERATIVE LEARNING; ITERATIVE LEARNING CONTROL ( ILC); LONG-TERM PERFORMANCE; MULTIPLICATIVE UNCERTAINTY; PLANT MODELLING; PLANT UNCERTAINTIES; RATE OF CONVERGENCE; REDUCED MODELS; ROBUSTNESS ANALYSIS; ROBUSTNESS PROPERTIES; SIMPLE MODELING; STABLE SYSTEMS; STEEPEST DESCENT ALGORITHM (SDA); TRACKING PERFORMANCES; TUNING PARAMETERS;

LEARNING ALGORITHMS;

EID: 46949093666     PISSN: 10498923     EISSN: 10991239     Source Type: Journal    
DOI: 10.1002/rnc.1226     Document Type: Article

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