Multiple Model Methods in Path Following

Multiple Model Methods in Path Following

Path following is difficult when the observation rate is low. Multiple model estimators incorporating multisensor fusion have proven useful in this application. This paper shows the advantage of a recently developed multiple model algorithm. Performance comparisons with some current algorithms are p...

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Veröffentlicht in:Journal of mathematical analysis and applications 2000-11, Vol.251 (2), p.609-623
Hauptverfasser: Leondes, C.T, Sworder, D.D, Boyd, J.E
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Calculus of variations and optimal control
Computer science
control theory
systems
Control theory. Systems
Exact sciences and technology
Mathematical analysis
Mathematics
Methods of scientific computing (including symbolic computation, algebraic computation)
Numerical analysis
Numerical analysis. Scientific computation
Numerical methods in mathematical programming, optimization and calculus of variations
Numerical methods in optimization and calculus of variations
Sciences and techniques of general use
System theory
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Beschreibung
Zusammenfassung:Path following is difficult when the observation rate is low. Multiple model estimators incorporating multisensor fusion have proven useful in this application. This paper shows the advantage of a recently developed multiple model algorithm. Performance comparisons with some current algorithms are presented.
ISSN:0022-247X
1096-0813
DOI:10.1006/jmaa.2000.7034