Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Acoustic scattering prediction methods (1)
- Aeroacoustics of jet noise (1)
- Biomedical systems (1)
- Complexity (1)
- Equivalent source method (1)
-
- Ffowcs-Williams Hawkings method (1)
- Fractional programming (1)
- G1a pressure gradient formulation (1)
- Literature review of acoustic scattering methods (1)
- Nonlinear control (1)
- Numerical optimization (1)
- Polynomial time algorithm (1)
- Predictive control (1)
- Pure sciences (1)
- Sliding mode (1)
- Supervised learning (1)
- Time-domain boundary element method (1)
- Unknown input observers (1)
Articles 1 - 3 of 3
Full-Text Articles in Engineering
Parametric Approaches To Fractional Programs: Analytical And Empirical Study, Chong Hyun Park
Parametric Approaches To Fractional Programs: Analytical And Empirical Study, Chong Hyun Park
Open Access Dissertations
Fractional programming is used to model problems where the objective function is a ratio of functions. A parametric modeling approach provides effective technique for obtaining optimal solutions of these fractional programming problems. Although many heuristic algorithms have been proposed and assessed relative to each other, there are limited theoretical studies on the number of steps to obtain the solution. In this dissertation, I focus on the linear fractional combinatorial optimization problem, a special case of fractional programming where all functions in the objective function and constraints are linear and all variables are binary that model certain combinatorial structures. Two parametric …
Implementing And Testing A Panel-Based Method For Modeling Acoustic Scattering From Cfd Input, S. Hales Swift
Implementing And Testing A Panel-Based Method For Modeling Acoustic Scattering From Cfd Input, S. Hales Swift
Open Access Dissertations
Exposure of sailors to high levels of noise in the aircraft carrier deck environment is a problem that has serious human and economic consequences. A variety of approaches to quieting exhausting jets from high-performance aircraft are undergoing development. However, testing of noise abatement solutions at full-scale may be prohibitively costly when many possible nozzle treatments are under consideration. A relatively efficient and accurate means of predicting the noise levels resulting from engine-quieting technologies at personnel locations is needed. This is complicated by the need to model both the direct and the scattered sound field in order to determine the resultant …
Supervised Learning-Based Explicit Nonlinear Model Predictive Control And Unknown Input Estimation In Biomedical Systems, Ankush Chakrabarty
Supervised Learning-Based Explicit Nonlinear Model Predictive Control And Unknown Input Estimation In Biomedical Systems, Ankush Chakrabarty
Open Access Dissertations
Application of nonlinear control theory to biomedical systems involves tackling some unique and challenging problems. The mathematical models that describe biomedical systems are typically large and nonlinear. In addition, biological systems exhibit dynamics which are not reflected in the model (so-called 'un-modeled dynamics') and hard constraints on the states and control actions, which exacerbate the difficulties in designing model-based controllers or observers.
This thesis investigates the design of scalable fast explicit nonlinear model predictive controllers (ENMPCs). The design involves (i) the estimation of a feasible region using Lyapunov stability methods and support vector machines; and (ii) within the estimated feasible …