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 |
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| container_end_page | 623 |
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| container_issue | 2 |
| container_start_page | 609 |
| container_title | Journal of mathematical analysis and applications |
| container_volume | 251 |
| creator | Leondes, C.T Sworder, D.D Boyd, J.E |
| description | 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. |
| doi_str_mv | 10.1006/jmaa.2000.7034 |
| format | Article |
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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.</description><subject>Applied sciences</subject><subject>Calculus of variations and optimal control</subject><subject>Computer science; control theory; systems</subject><subject>Control theory. Systems</subject><subject>Exact sciences and technology</subject><subject>Mathematical analysis</subject><subject>Mathematics</subject><subject>Methods of scientific computing (including symbolic computation, algebraic computation)</subject><subject>Numerical analysis</subject><subject>Numerical analysis. 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Systems</topic><topic>Exact sciences and technology</topic><topic>Mathematical analysis</topic><topic>Mathematics</topic><topic>Methods of scientific computing (including symbolic computation, algebraic computation)</topic><topic>Numerical analysis</topic><topic>Numerical analysis. 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| issn | 0022-247X 1096-0813 |
| language | eng |
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| source | Elsevier ScienceDirect Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | 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 |
| title | Multiple Model Methods in Path Following |
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