Due to the unique characteristics such as handling complex, nonlinear, and sometimes intangible dynamic systems, fuzzy systems are used in the modeling of InputOutput data of the process. The combination of fuzzy rule-based systems with genetic algorithms can lead to very useful descriptions of several optimization and search problems. In this paper, clustering strategy is implemented in the de...

This paper proposes optimal operational planning for cogeneration system (CGS) using particle swarm optimization (PSO). CGS is usually connected to various facilities such as refrigerators, reservoirs, and cooling towers. In order to generate optimal operational planning for CGS, startup/shutdown status and/or input/output values of the facilities for each control interval should be determined....

It is known that in general, frozen equivalent (Linear Parameter-Varying) LPV models, i.e., LPV models which have the same input-output behavior for each constant scheduling signal, might exhibit different input-output behavior for non-constant scheduling signals. In this paper, we provide an analytic error bound on the difference between the inputoutput behaviors of two LPV models which are fr...

In this work, we characterize a new form of software diversity: the existence of a set of variants that (i) all share the same API, (ii) all behave the same according to an inputoutput based specification and (iii) exhibit observable differences when they run outside the specified input space. We quantify computational diversity as the dissimilarity between execution traces on inputs that are o...

This paper proposes a thermodynamics based approach for the boundary control of distributed single phase reactive systems in one spatial dimension. More precisely, this approach is motivated by the so-called thermodynamic availability directly derived from the concavity of the entropy function for homogeneous mixtures. On this basis, a general connection to the boundary control is developed for...

Labaf, Maryam. M.S, Department of Mathematics and Statistics, Wright State University, 2017. Rule Extraction From Artificial Neural Networks Under Background Knowledge. It is well-known that the input-output behavior of a neural network can be recast in terms of a set of propositional rules, and under certain weak preconditions this is also always possible with positive (or definite) rules. Fur...

We provide Lyapunov-like characterizations of boundedness and convergence of non-trivial solutions for a class of systems with unstable invariant sets. Examples of systems to which the results may apply include interconnections of stable subsystems with one-dimensional unstable dynamics or critically stable dynamics. Systems of this type arise in problems of nonlinear output regulation, paramet...

All over the process of treating data on HPC Systems, parallel file systems play a significant role. With more and more applications, the need for high performance InputOutput is rising. Different possibilities exist: General Parallel File System, cluster file systems and virtual parallel file system (PVFS) are the most important ones. However, these parallel file systems use pattern and model ...

Virtual teams represent an organizational form which can revolutionize the workplace and provide organizations with unprecedented levels of flexibility and responsiveness. Extant reviews on virtual team research lack in two important aspects: First they do not explain the inconsistencies in virtual team research, and second they fail to explain how virtual teams achieve success. This paper, bas...

An information-theoretic optimization principle ('infomax') has previously been used for unsupervised learning of statistical regularities in an input ensemble. The principle states that the inputoutput mapping implemented by a processing stage should be chosen so as to maximize the average mutual information between input and output patterns, subject to constraints and in the presence of proce...