PERFORMANCE MEASURES OF THE VARIABLE STRUCTURE FILTER Journal Articles

abstract

• A new method for state estimation, referred to as the Variable Structure Filter (VSF), has recently been proposed. The VSF is a model based predictor-corrector method. It uses an internal model to provide an initial estimate of the states and subsequently refines this initial estimate by a corrective term that is a function of the system output and the upper bound of uncertainties. As such, the VSF can explicitly cater for uncertainties in its internal model. In this paper, a conceptual discussion of the VSF strategy and its performance in terms of stability, accuracy, and convergence is provided. The impact of modeling uncertainties on the performance of the VSF is discussed and quantified. The analysis is augmented by comparative simulation studies to further illustrate the concept.

authors

• Habibi, Saeid

status

• published 

publication date

• June 2005

has subject area

• 0913 Mechanical Engineering (FoR)
• Design Practice & Management (Science Metrix)

published in

• Transactions of the Canadian Society for Mechanical Engineering  Journal

keywords

• CONTROLLER-DESIGN
• Engineering
• Engineering, Mechanical
• SLIDING MODE CONTROL
• SYSTEMS
• Science & Technology
• Technology

Digital Object Identifier (DOI)

• 10.1139/tcsme-2005-0017

start page

• 267

end page

• 295

volume

• 29

issue

• 2