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Showing 1 to 20 of 30 for “"Random parameters"”.

  1. Suboptimal Feedback Control of Systems With Random Parameters

    Made available in DSpace on 2014-12-08T22:24:13Z (GMT). No. of bitstreams: 1 6711934.pdf: 1950029 bytes, checksum: 26944468b0af8694447c8095262a9bd1 (MD5) Previous issue date: 1967

    uiuc Repository record for Suboptimal Feedback Control of Systems With Random Parameters (opens in a new tab)

  2. Control of Stochastic Linear Discrete Systems With Random Parameters

    Made available in DSpace on 2014-12-08T22:24:47Z (GMT). No. of bitstreams: 1 7013524.pdf: 1487377 bytes, checksum: c1d19b56562f1a2786f069a4f8b84471 (MD5) Previous issue date: 1969

    uiuc Repository record for Control of Stochastic Linear Discrete Systems With Random Parameters (opens in a new tab)

  3. Adaptive stochastic control of linear systems with random parameters

    Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1979.

    mit Repository record for Adaptive stochastic control of linear systems with random parameters (opens in a new tab)

  4. Analysis and Reliability-Based Design of Columns With Random Parameters

    Made available in DSpace on 2015-05-12T22:37:15Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 7219932.PDF: 6352650 bytes, checksum: bc8a28e906258258c801ceac4ea1f74e (MD5) Previous issue date: 1972

    uiuc Repository record for Analysis and Reliability-Based Design of Columns With Random Parameters (opens in a new tab)

  5. Optimization under moment, robust, and data-driven models of uncertainty

    … the ambiguity of probability distributions of random parameters with a minimax decision rule. We establish the model tractability and are able to construct explicitly the extremal distributions. The quality of minimax solutions is compared with that of solutions obtained from other approaches …

    mit Repository record for Optimization under moment, robust, and data-driven models of uncertainty (opens in a new tab)

  6. Uncertainty quantification for integrated circuits and microelectrornechanical systems

    … models, the stochastic nature of some design parameters, external environmental fluctuations (e.g., temperature variation), measurement noise, and so forth. In order to enable robust engineering design and optimal decision making, efficient stochastic solvers are highly desired to quantify the …

    mit Repository record for Uncertainty quantification for integrated circuits and microelectrornechanical systems (opens in a new tab)

  7. Three Essays on Choice -Based Estimations of the Economic Benefits of Contaminated Site Cleanup

    … and unobserved heterogeneity and uses the random parameters logit model. The recognition of parameter randomness and the inclusion of attitudes and perception data improve the result from the standard conditional logit model. The welfare measures are found to be sensitive to attitudes and …

    uiuc Repository record for Three Essays on Choice -Based Estimations of the Economic Benefits of Contaminated Site Cleanup (opens in a new tab)

  8. Valuing biodiversity: Decision support for biosecurity response

    … the values captured in the panel version of the Random Parameters Logit (RPL) model is integrated into CBA using risk simulation which utilises the means, standard deviations and correlation coefficients of risky variables to quantify the probability of achieving a positive Net Present Value of …

    waikato-masters Repository record for Valuing biodiversity: Decision support for biosecurity response (opens in a new tab)

  9. Algorithms and Algorithmic Barriers in High-Dimensional Statistics and Random Combinatorial Structures

    … algorithmic problems arising from the study of random combinatorial structures and of neural network models, with a particular emphasis on computational aspects. Our main contributions are summarized as follows. 1. Our first focus is on two algorithmic problems arising from the study of random …

    mit Repository record for Algorithms and Algorithmic Barriers in High-Dimensional Statistics and Random Combinatorial Structures (opens in a new tab)

  10. Efficient estimation of coherent risk measures for risk-averse optimization problems governed by partial differential equations with random inputs

    … of partial differential equations (PDEs) with random inputs. Risk measures of the quantities of interest arise as objective functions or as constraints in the PDE-constrained optimization problems under uncertainty. A single evaluation of a risk measure requires numerical integration in a …

    rice Repository record for Efficient estimation of coherent risk measures for risk-averse optimization problems governed by partial differential equations with random inputs (opens in a new tab)

  11. Consumer's preferences for goat meat in the United States : an application of choice-based conjoint analysis

    … valued domestic over imported goat meat. The random parameters logit model and latent class logit model revealed heterogeneous preferences. In the latent class model, age, gender, and consumption frequency did fairly well in defining the class; however, overall the demographic variables failed …

    lsu-thes Repository record for Consumer's preferences for goat meat in the United States : an application of choice-based conjoint analysis (opens in a new tab)

  12. Stochastic structural analysis of engineering components using the finite element method

    … sequence involving the perturbation of the random parameters to be evaluated, although the perturbation sequence of the methods differ. It is shown that computer-time saving techniques such as Taylor series and iterative perturbation schemes, developed for mean value based methods, can also …

    cape-town Repository record for Stochastic structural analysis of engineering components using the finite element method (opens in a new tab)

  13. FPGA Implementation of a Pseudo-Random Aggregate Spectrum Generator for RF Hardware Test and Evaluation

    … TandE tool that allows for real-time pseudo-random aggregate signal generation for testing RF receiver hardware (such as communication receivers, spectrum sensors, etc.). In particular, a framework is developed for an FPGA-based implementation of a test signal emulator that generates …

    vt Repository record for FPGA Implementation of a Pseudo-Random Aggregate Spectrum Generator for RF Hardware Test and Evaluation (opens in a new tab)

  14. Marine protected areas in the management of artisanal fisheries

    … modelled fishers’ spatial behaviour, using a random utility framework and random parameters logit estimation. Fishers appeared sensitive to the expected catch, its variability, human risk and distance travelled. Expected catch and catch variability were modelled using a Just and Pope …

    cape-town Repository record for Marine protected areas in the management of artisanal fisheries (opens in a new tab)

  15. Predictive haemodynamics of the human carotid artery

    … understand the relationship between a range of parameters and the associated haemodynamics and to devise strategies to provide guidance for clinical interventions and to assist in the design of stents and grafts. Initially, detailed statistical analysis is applied to a three dimensional …

    soton Repository record for Predictive haemodynamics of the human carotid artery (opens in a new tab)

  16. Computational and modelling aspects of marine riser analysis

    … computing machine. Finally, there is a level of randomness in the design parameters, which results in a lack of confidence and an uncertainty in the response obtained from a deterministic model. This thesis attempts to qualify, if not quantify, the sources of error innate to the modelling of …

    cape-town Repository record for Computational and modelling aspects of marine riser analysis (opens in a new tab)

  17. Probabilistic finite-difference time-domain simulations using stochastic electromagnetic macro-models

    … the impact of uncertainty, manifested as random material and structural variations in the design and manufacturing process of the realized system, on the stochastic system's electromagnetic performance. In the current state of the art, and in absence of the stochastic macro-model, it is …

    uiuc Repository record for Probabilistic finite-difference time-domain simulations using stochastic electromagnetic macro-models (opens in a new tab)

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