Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 14 of 14 for “"Deterministic System"”.
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Dynamics of a fully stochastic discretized neuronal model with excitatory and inhibitory neurons
… behavior, since the model limits on a mean-field deterministic system with multiple attractors. Our work investigates adding inhibition into the model. The new model exhibits the same metastable phases, but also exhibits new non-monotonic behavior that was not seen in the DeVille et al. model. The …
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How well can one resolve the state space of a chaotic map?
All physical systems are affected by some noise that limits the resolution that can be attained in partitioning their state space. For chaotic, locally hyperbolic flows, this resolution depends on the interplay of the local stretching/contraction and the smearing due to noise. My goal is to …
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Application of deterministic operations research for structural optimization
… problems, while the discussion is restricted to deterministic system. The methodology employed follows the general methodology of operations research: mathematical models are utilized to represent real-world problems and making decisions based on the solutions generated through mathematical …
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Stochastic and deterministic multipatch epidemic models
… techniques employed are thresholds for both the deterministic and the stochastic system through an approximating multi-type branching process. We formulate a continuous time Markov Chain that corresponds to each deterministic system studied. The main idea will be to study the spectral radius of …
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An exceptional handling service for the contract net protocol family
Autonomous agents are systems that inhabit complex and dynamic environments. Attaining robust behavior in such complex conditions is a key challenge for agent-based systems. This challenge is intensified in multi-agent settings, where a diverse set of agents communicate and coordinate with each …
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Estimating Uncertainties in the Joint Reaction Forces of Construction Machinery
… in the input forces through a mechanical system. The system of interest was a wheel loader, but the methodology developed can be applied to any multibody systems. The modeling technique implemented focused on efficiently modeling stochastic systems for which the equations of motion are not …
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Replication of Concurrent Applications in a Shared Memory Multikernel
… of building a replication based fault-tolerance system. Current SMR systems usually have multiple machines involved, each of the machines in the SMR system acts as the replica of others. However having multiple machines leads to more cost to the infrastructure, in both hardware cost and power …
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Optimal control of dynamical systems with time-invariant probabilistic parametric uncertainties
… algorithms for the optimal control of dynamical systems with time-invariant probabilistic uncertainties. The main contribution of this thesis is new feedback control design algorithms for linear time-invariant systems with time-invariant probabilistic parametric uncertainties and stochastic …
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Multiserver queueing systems in heavy traffic
In the study of queueing systems, a question of significant current interest is that of large scale behavior, where the size of the system increases without bound. This regime has becoming increasingly relevant with the rise of massive distributed systems like server farms, call centers, and health …
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Robust State Estimation, Uncertainty Quantification, and Uncertainty Reduction with Applications to Wind Estimation
Indirect wind estimation onboard unmanned aerial systems (UASs) can be accomplished using existing air vehicle sensors along with a dynamic model of the UAS augmented with additional wind-related states. It is often desired to extract a mean component of the wind the from frequency fluctuations …
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Anomalous statistical properties and fluctuations on multiple timescales
… Here the framework is applied to an intermittent deterministic system, which exhibits a rich combination of all three effects. Nevertheless, the results provide an intuitive interpretation of the dynamics. In addition, the framework is theoretically discussed and connected to a calculation that …
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Stochastic multiphysics modeling of RF MEMS switches
… the mean and standard deviation of the desired system response such as capacitance and vertical force are efficiently computed. This approach has been shown to be orders of magnitude faster than standard Monte Carlo approaches. Next, we have developed a methodology for the model order reduction …
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Addressing nonlinear systems with information-theoretical techniques
The study of experimental recording of dynamical systems often consists in the analysis of signals produced by that system. Time series analysis consists of a wide range of methodologies ultimately aiming at characterizing the signals and, eventually, gaining insights on the underlying processes …
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Fast numerical algorithms for optimal robot motion planning
… we extend our consideration beyond the classical deterministic models of motion and apply the proposed numerical algorithms to solve a stochastic optimal motion planning problem.