JSTOR Daily

Model abstraction for discrete-event systems by binary linear programming with applications to manufacturing systems

Model abstraction for finite state automata is helpful for decreasing computational complexity and improving comprehensibility for the verification and control synthesis of discrete-event systems (DES ...
JSTOR Daily

Some Linear Transformations for Mixtures of Binary and Continuous Variables, with Particular Reference to Linear Discriminant Analysis

Suitable linear transformations for preliminary data analysis are available when data consist solely of continuous variables or solely of binary variables. When mixtures of variables are observed, ...
IEEE

Secrecy Coding for the Binary Symmetric Wiretap Channel via Linear Programming

Abstract: In this paper, we use a linear programming (LP) optimization approach to evaluate the equivocation when coding over a wiretap channel model where the main channel is noiseless and the ...
IEEE

Convex Reformulation of Information Constrained Linear State Estimation with Mixed-Binary Variables for Outlier Accommodation

Abstract: This article considers the challenge of accommodating outlier measurements in state estimation. The RiskAverse Performance-Specified (RAPS) state estimation approach addresses outliers as a ...