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.
Results
Showing 1 to 20 of 46 for “"modeling errors"”.
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Modeling Errors in Biometric Surveillance and De-duplication Systems
… the dissertation provides some new insights into modeling anonymous identification systems and gait patterns for biometrics-based surveillance systems.
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Robustness of Model Reference Adaptive Schemes With Respect to Modeling Errors
… is analyzed. Bounds on parameter and state errors are established for identifiers and adaptive observers. In the case of adaptive control, algorithms are modified to guarantee boundedness. Decentralized adaptive control schemes guaranteeing the stability of a class of large-scale systems are …
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Characterization of Treatment Planning System Photon Beam Modeling Errors In Iroc Houston Phantom Irradiations
… calculation algorithm is critical because any errors in this process impact all treatment plans prepared in the system. Previously, TPS errors have been identified as a major cause for poor phantom irradiation performance, which may also mean that patients are treated suboptimally. The purpose …
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Parameter Estimation Techniques for Nonlinear Dynamic Models with Limited Data, Process Disturbances and Modeling Errors
In this thesis appropriate statistical methods to overcome two types of problems that occur during parameter estimation in chemical engineering systems are studied. The first problem is having too many parameters to estimate from limited available data, assuming that the model structure is correct, …
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In-flight estimation of environmental and aerodynamic modeling errors for a GPS-INS guided artillery shell in a GPS-jamming environment
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1998.
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On the implementation of the independent modal-space control method
… method is completely robust with respect to modeling errors and plant truncation effects. The globally optimal control of distributed systems requires distributed actuators. Instead of using distributed actuators, the distributed control is approximated with discrete actuators. Since the …
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Mechatronics examples for teaching modeling, dynamics, and control
… a classroom demo for an introductory course on modeling, dynamics, and control. We solve this classic nonlinear controls problem with feedback linearization; the main advantage with this technique is operating point independency. However, it is highly sensitive to modeling errors and unpredicted …
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Acoustic vector-sensor array performance
… vector-sensor array beampattern with and without modeling errors, or "mism;atch." It also develops a hybrid Cramer-Rao bound for direction-of-arrival estimation under mismatch. The results are analyzed, compared to Monte-Carlo simulations, and explored for insight.
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Models, optimal performances and sensitivities of commercial flight trajectory in the air traffic system
This thesis provided systematic modeling foundation for trajectory generation of commercial aircraft flight, examined different choices of performance indices in trajectory generation within Air Traffic Control (ATC) system, and discussed sensitivity concepts to evaluate the qualities of generated …
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Acoustic vector-sensor array processing
… conventional processing and remain robust to modeling errors. Third, the thesis develops subspace techniques that enable near-optimal adaptive processing. Subspace processing reduces the problem dimension, improving convergence or shortening training time.
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Performance Enhancement and Stability Robustness of Wing/Store Flutter Suppression System
… increased performance as well as robustness to modeling errors. This approach treats the actuator as an active soft-decoupling tie between the wing and store, thus isolating the wing from store pitch inertia effects. Advanced control techniques are used to assess the nominal performance and …
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Micro air vehicle control design : a comparison of classical and dynamic inversion techniques
… suffered when subject to unmodeled dynamics and modeling errors.
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Experimental comparison of probabilistic methods and fuzzy sets for designing under uncertainty
… problems. An alternative approach for modeling uncertainties is fuzzy sets. Fuzzy sets usually require much less information than probabilistic methods and they rely on expert opinion. In principle, probability theory should work better in problems involving only random uncertainties, …
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Autonomous aerobatic maneuvering of miniature helicopters
… control system toward measurement and modeling errors. Based on these results, I further propose a simplified hybrid model for a helicopter under such closed loop control. The model can be utilized in the development of computationally tractable motion-planning algorithms for agile …
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Cosmological constraints using 2- and 3-point correlations with meerkat, the ska and other surveys
… the Alcock-Paczynski effect, and theoretical modeling errors in the correlators. The investigation also includes assessments of 21-cm clustering bias up to the second order.
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Markov Approximations: The Characterization of Undermodeling Errors
… with characterizing the quality of Hidden Markov modeling when learning from limited data. It introduces a new perspective on different sources of errors to describe the impact of undermodeling. Our view is that modeling errors can be decomposed into two primary sources of errors: the …
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GPR data processing for reinforced concrete bridge decks
… impulse waveform distortion that leads to less modeling errors is proposed. The impact of the selection of the regularization parameter on the comparative amplitude reservation and the imaging performance is also investigated, and an approach to preserve the comparative amplitude information …
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Incorporação da incerteza paramétrica na geração de séries sintéticas de vazões através de reamostragem
… into streamflow generation models, avoiding modeling errors. The procedure is based on a Resampling scheme (similar to Bootstrap), that can be used in series that show time dependence, as the natural streamflow series. Based on historical series several "Bootstrap samples" are obtained by …
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Real-time path-planning using mixed-integer linear programming and global cost-to-go maps
… changes in the environment, perturbations, modeling errors and modifications in the mission scenario, the trajectory needs to be continuously re-optimized online based on the latest available updates. However, to allow for high update rates, the trajectory optimization problem needs to be …
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Observer-based fault detection for nuclear reactors
… and failure to detect a fault are two decision errors when noise is considered. The goal here is to achieve a reasonable compromise. The two types of decision errors can be characterized by their respective first hitting time of a decision threshold. This in turn is dependent on the design of …
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