Improved control of delayed measured systems

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volumn 70, Issue 5 2, 2004, Pages

  Claussen, Jens Christian ^a   Schuster, Heinz Georg ^a  

^a UNIVERSITY OF KIEL   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CONTROL EQUIPMENT; CONVERGENCE OF NUMERICAL METHODS; DELAY CONTROL SYSTEMS; EIGENVALUES AND EIGENFUNCTIONS; FEEDBACK; ITERATIVE METHODS; LYAPUNOV METHODS;

LINEAR PREDICTIVE LOGGING CONTROL (LPLC); MEMORY DIFFERENCE CONTROL (MDC); OTT-GREBOGI-YORKE (OGY) CONTROL; RHYTHMIC CONTROL;

CHAOS THEORY;

EID: 41349094146     PISSN: 15393755     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.70.056225     Document Type: Article

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31. t) surface directly from the time series and uses it to direct the system to any desired point. Both approaches can be regarded as a nonlinear method of model predictive control [5], applied to the Poincaré iteration dynamics. However, one has to know the fixed point x* more accurately than in the linear case to avoid a permanent nonvanishing control amplitude and a smaller range of stability. This is crucial if the fixed point drifts in time.