Meta-methodologies have been created to assist systems thinking practitioners in selecting applicable intervention approaches for different system states; however, current meta-methodologies do not address the lack of accessibility for non-systems thinking practitioners. To address this problem, the key system states that contribute the most to reduce the variety gap between...
A system's analysis study utilizing Resource Planning and
Management System network methodology, integer programming, and
goal programming is presented. The integrated approach is developed
and applied to the rare metals production process of the Oregon
Metallurgical Corporation (OREMET). As defined by OREMET
management, optimization of the production process required the...
Phase-space trajectories are often used to describe a system's
stability or response characteristics. It is desirable to observe such
a phase-space trajectory directly from an analog simulation of a
system, but a conventional oscilloscope display does not provide an
axis for the third variable,
A third axis could be provided...
Cognitive and other neural processes emerge from the interactions be- tween neurons. Major advances have been made in studying networks in which the interac- fions occur instantaneously by means ofgraded synapses (Guckenheimer and Rowat, I 997). In other networks, the interaction between neurons involves time-delayed signals (action potentials or spikes)...
This thesis is the combination of two research publications working toward a unified strategy in which to represent complex engineered systems as complex networks. Current engineered system modeling techniques segment large complex models into multiple groups to be simulated independently. These methods restrict the evaluations of such complex systems as...
Infrastructure systems are a critical component supporting today's modern society. From
power grids to traffic networks, we rely on these systems to perform as intended, despite
the various sources of uncertainty present in their operation. Designing for system
robustness can help mitigate the impact of failures caused by unexpected events....
As modern systems continue to increase in size and complexity, they pose significant safety and risk management challenges. System engineers and much of the government research efforts are focused on understanding the attributes and characteristics that emerge from the interactions of components and subsystems. As a result, the objective of...
A model reduction method for stable, linear, time-invariant,
continuous systems is critically studied. This
method, proposed by Prof. Ouyang, is based on the concept
of power dispersion and the least-squared estimation
technique. The reduced models obtained by this method retain
the stability of the stable, high order original systems and...
A rapid expansion of population and industrialization in recent
years has created new and difficult problems in water resources
management. Prudent management of water quality will require that
more efficient methods be developed for evaluating large volumes of
data on complex river systems, and tabulating the results in a form...