Toward the incorporation of temporal interaction analysis techniques in modeling and understanding sociotechnical systems

The increased complexity of modern sociotechnical systems (STS) necessitates the need for a manageable representation of their attributes, to augment our understanding and enable the development of ways through which we can increase their effectiveness, efficiency, and safety. Although many of the methodologies developed in the Human Factors...

Multiple Faults Estimation in Dynamical Systems: Tractable Design and Performance Bounds

In this article, we propose a tractable nonlinear fault estimation filter along with explicit performance bounds for a class of linear dynamical systems in the presence of both additive and nonlinear multiplicative faults. We consider the case, where both faults may occur simultaneously and through an identical dynamical relationship, a setting...

Adaptive On-the-Fly Changes in Distributed Processing Pipelines

Distributed data processing systems have become the standard means for big data analytics. These systems are based on processing pipelines where operations on data are performed in a chain of consecutive steps. Normally, the operations performed by these pipelines are set at design time, and any changes to their functionality require the...

Teacher-Student Interactions and Teacher Interpersonal Styles: A State Space Grid Analysis

The crucial role of teacher-student relationships has been reported in many studies. Yet, how teacher-student relationships develop from moment-to-moment interactions during lessons remains understudied. The present study combined insights from interpersonal theory and dynamic systems approaches to study indices of interpersonal content and...

Global monitoring of dynamic information systems a case study in the international supply chain

Global information systems are becoming more complex and dynamic everyday: huge amounts of data and messages through those systems show dynamically changing traffic patterns. Because of this, diagnosing when sub-systems are not working properly is difficult. System failures or errors in information exchange protocols sometimes happen and...

The hypothalamic- pituitary -adrenal -leptin axis and metabolic health: A systems approach to resilience, robustness and control

Glucocorticoids contribute to obesity and metabolic syndrome; however, the mechanisms are unclear, and prognostic measures are unavailable. A systems level understanding of the hypothalamic-pituitary-adrenal (HPA) -leptin axis may reveal novel insights. Eighteen obese premenopausal women provided blood samples every 10 min over 24 h, which were...

Dynamic metabolomic data analysis: A tutorial review

In metabolomics, time-resolved, dynamic or temporal data is more and more collected. The number of methods to analyze such data, however, is very limited and in most cases the dynamic nature of the data is not even taken into account. This paper reviews current methods in use for analyzing dynamic metabolomic data. Moreover, some methods from...

Adjoint analysis of mixed continuous/discrete systems in simulink

The adjoint simulation method is a well established and efficient tool for gaining insight and understanding of key parameters affecting the behaviour and performance of a guided missile homing system. Traditionally, the method has been employed by various missile companies during the preliminary and conceptual stages of new missile programs. A...

The state-space approach to the method of adjoints for hybrid guidance loop models

A framework is introduced to develop the theory of the Adjoint Method for models including both continuous and discrete dynamics. The basis of this framework consists of the class of impulsive linear dynamical systems. It allows extension of the Adjoint Method to more general models that include multirate subsystems, or non-periodic discrete...

Extending the COVAD toolbox to accommodate system non-linearities

The COVAD toolbox is a MATLAB/Simulink based tool conceived and developed for the rapid analysis and simulation of stochastically driven dynamic systems. In addition to a generic Monte Carlo capability, the toolbox is also supported by traditional analytical techniques such as the adjoint and covariance analysis methods. However, these latter...

WILLEM: a Wireless InteLLigent Evacuation Method

In this paper we present WILLEM, a system for dynamic evacuation routing in buildings, using a wireless sensor network. Dynamic evacuation routing is the process of dynamically determining the fastest routes to the exits. The routes may be changed in case a fire occurs somewhere. We also present an algorithm for detecting congestions in...

World modeling for cooperative intelligent vehicles

Cooperative intelligent vehicle systems constitute a promising way to improving traffic throughput, safety and comfort. The state-of-the-art intelligent-vehicle applications usually can be described as a collection of interacting, highly autonomous, complex dynamical systems (the individual vehicles). The vehicles implement onboard a wide...

Linking PCA and time derivatives of dynamic systems

Low dimensional approximate descriptions of the high dimensional phase space of dynamic processes are very useful. Principal component analysis (PCA) is the most used technique to find the low dimensional subspace of interest. Here, it will be shown that mean centering of the process data across time followed by PCA yields valuable information...

Distributed Hardware-in-the-loop simulator for autonomous continuous dynamical systems with spatially constrained interactions

The state-of-the-art intelligent vehicle, autonomous guided vehicle and mobile robotics application domains can be described as collection of interacting highly autonomous complex dynamical systems. Extensive formal analysis of these systems – except special cases – is not feasible, consequently the availability of proper simulation and test...