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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 20 of 78 for “"stochastic systems"”.
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Runtime verification for stochastic systems
… monitoring of complex, mixed hardware/software systems, such as a semi-autonomous car. The field of runtime verification has developed many tools for monitoring the safety of software systems in real time. However, these tools do not allow for uncertainty in the system's state or failure, both …
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Optimal estimation for nonlinear stochastic systems.
Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Thesis. 1969. Sc.D.
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Large deviations of stochastic systems and applications
… dissertation focuses on large deviations of stochastic systems with applications to optimal control and system identification. It encompasses analysis of two-time-scale Markov processes and system identification with regular and quantized data. First, we develops large deviations principles …
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Hydrologic Analysis of Watersheds as Stochastic Systems
Made available in DSpace on 2014-12-08T23:57:13Z (GMT). No. of bitstreams: 1 6910822.pdf: 4498506 bytes, checksum: 1c7ff41865c8e3f9b2cce95e91735c3f (MD5) Previous issue date: 1968
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On linear control of decentralized stochastic systems.
Thesis. 1978. Ph.D.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
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Moment-linear stochastic systems and their applications
Our work is motivated by the need for tractable stochastic models for complex network and system dynamics. With this motivation in mind, we develop a class of discrete-time Markov models, called moment-linear stochastic systems (MLSS), which are structured so that moments and cross-moments of the …
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Estimation and analysis of nonlinear stochastic systems.
Thesis. 1975. Ph.D.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
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A gradient method for optimizing stochastic systems
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1964.
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Adaptive Stochastic Systems: Estimation, Filtering, And Noise Attenuation
… arising in identification and control of stochastic systems. When the parameters determining the underlying systems are unknown and/or time varying, estimation and adaptive filter- ing are invoked to to identify parameters or to track time-varying systems. We begin by considering linear …
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Machine Learning based Predictive Modeling of Stochastic Systems
… detect the early stage of glaucoma from ERG stochastic signals. The second case study centers on developing a machine learning-based model for stall delay correction in wind turbines. Existing stall delay correction models rely on 2D airfoil characteristics, which can lead to inaccuracies in …
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Analysis of primitive linear and nonlinear stochastic systems
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2001.
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Fluctuation Relations for Stochastic Systems far from Equilibrium
Fluctuations are of great importance in systems of small length and energy scales. Measuring the pulling of single molecules or the stationary fiow of mesospheres dragged through a viscous media enables the direct analysis of work and entropy distributions. These probability distributions are the …
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A controller design procedure for nonlinear stochastic systems
… method for designing controllers for nonlinear stochastic systems is developed and analyzed. The resulting controller consists of a nonlinear control law coupled with an adaptive state estimator. The nonlinear control law is developed first. Using Taylor series expansion, linear approximations …
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Synchronization and Signal Enhancement in Nonlinear and Stochastic Systems
… junction arrays. At high frequencies these systems are no longer well modeled by Kirchhoffs laws, and new dynamical equations are derived directly from Maxwells equations. From these equations we derive a reduced set of averaged equations which greatly simplify the analysis of high frequency …
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Optimal sampling and switching policies for linear stochastic systems
For systems with limited capacity for storage, processing and transmission of data, the choice of sampling policy is critical. Although most systems determine their sampling instants in advance, for example periodically, this results in unnecessary use of samples if little changes occur between …
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Computational approaches to stochastic systems in physics and biology
… to model and understand two very different systems which exhibit stochastic behavior: quantum fluids with topological defects arising during quenches and forcing, and complex microbial communities living and evolving withing the gastrointestinal tracts of vertebrates. As such, this …
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Hierarchical control and decomposition of decentralized linear stochastic systems
Thesis. 1978. Ph.D.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
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Performance evaluation and optimization of stochastic systems via importance sampling
… and the associated performance of random input systems are typically intractable. One often only has access to the system's output under a variety of inputs, thereby requiring the optimization routine to be insensitive to the noise inherent in estimating the performance. The well known …
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Controlling Molecular-Scale Motion: Exact Predictions for Driven Stochastic Systems
… non-autonomous molecular machines are modeled as stochastic pumps: stochastic systems that are driven by time-dependent perturbations. A number of exact theoretical predictions have been made recently describing how stochastic pumps respond to arbitrary driving. This work investigates one such …
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