Multiple Model Methods in Path Following

✍ Scribed by C.T Leondes; D.D Sworder; J.E Boyd

• Book ID: 102591019
• Publisher: Elsevier Science
• Year: 2000
• Tongue: English
• Weight: 153 KB
• Volume: 251
• Category: Article
• ISSN: 0022-247X
• DOI: 10.1006/jmaa.2000.7034

✦ Synopsis

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. ᮊ 2000 Academic Press