Efficient Minimax Control Design for Prescribed Parameter Uncertainties Authors Tenne, D., & Singh T. Source Journal of Guidance, Control and Dynamics, 27(6), 1009-1016, 2004. Abstract
The purview of this paper is the design of a controller that includes knowledge
of parametric uncertainties and their distributions. The parameter
distributions are approximated by a finite set of points that are calculated
by the unscented transformation. This set of points is used to design robust
controllers that minimize the worst performance of the plant over the domain
of uncertainty. The proposed technique is illustrated on two benchmark
problems. The first relates to the design of prefilters for a
spring-mass-dashpot system and the second is the feedback control of a
hovering helicopter. Numerical simulations are used to illustrate the
proximity of the resulting controller to the minimax controller.
@article{Singh04_GCD, Author = {D.Tenne, T. Singh}, Journal = {AIAA Journal of Guidance, Control and Dynamics}, Month = {Nov.}, Pages = {1009-1016}, Title = {Efficient Minimax Control Design for Prescribed Parameter Uncertainties}, Volume = {27}, Number = {6}, Year = {2004} } |