Many problems in practically all fields of science, engineering and technology involve global optimization. It becomes more and more important to develop the efficient global opti...
Abstract--This paper presents an iterative learning scheme for visionguided robot trajectory tracking. At first, a stability criterion for designing iterative learning controller i...
When reliable prior bounds on the acceptable errors between the data and corresponding model outputs are available, bounded-error estimation techniques make it possible to characte...
Luc Jaulin, Michel Kieffer, Eric Walter, Dominique...
Abstract--In developing a tutoring system, one of the most difficult tasks is to collect tutoring knowledge from multiple educators, especially courses in which the contents change...
Page-based Linear Genetic Programming (GP) is proposed in which individuals are described in terms of a number of pages. Pages are expressed in terms of a fixed number of instructi...
In this paper, we present a consensus model for multiperson decision making (MPDM) problems with different preference structures based on two consensus criteria: 1) a consensus mea...
Enrique Herrera-Viedma, Francisco Herrera, Francis...
Existing modeling frameworks for manufacturing system control can be classified into hierarchical, heterarchical, and hybrid control frameworks. The main drawbacks of existing fram...
Sunderesh S. Heragu, Robert J. Graves, Byung-In Ki...
In this paper, we describe the design of a decision support system for operators of model-based predictive controllers (MPC). MPC is a form of advanced automatic control that is in...
Stephanie A. Guerlain, G. A. Jamieson, P. Bullemer...
In this paper, we address the modeling and analysis issues associated with a generic theater level campaign where two adversaries pit their military resources against each other ov...
Debasish Ghose, M. Krichman, Jason L. Speyer, Jeff...