The aim of the present study was to assess the construct validity of five nutrient profiling systems, using diet modeling with linear programming for designing healthy and unhealthy diets. 3 ...

Xiaoquan Wen, Bayesian Model Selection in Complex Linear Systems, as Illustrated in Genetic Association Studies, Biometrics, Vol. 70, No. 1 (MARCH 2014), pp. 73-83 ...

Learn topics in modeling, analysis, simulation, and feedback control design of dynamic systems. Design in the frequency and time domains of linear and nonlinear systems. Mathematically model and ...

Model basic autonomous systems including linear control. Describe solutions and behaviors of systems sequential circuits, and simple timed automatations in a unified fashion. Define and illustrate ...

The computational complexity of solving an n × n system of linear equations depends on whether the computational model is (a) sequential or parallel, and (b) fixed precision or variable precision. We ...

In a thermally linear system, superposition may be applied to predict the transient response of the system to step changes in input power. This article is the second in a two-part series. Part one ...

Linear state-space models, small-signal linearization, similarity transformations State transition matrices for continuous- and discrete-time linear systems, solutions to state equations ...

When thermal simulation software isn't available, or for quicker results, designers can apply linear superposition to model the thermal performance of their power systems. This article is the ...

Students in Michigan Tech's graduate certificate in Control Systems program mathematically model and analyze complex dynamic processes and apply feedback control laws capable of stabilizing systems ...