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 20 of 69 for “"Multiple model"”.
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A Comparison of Multiple-Model Target Tracking Algorithms
There are many multiple-model (MM) target-tracking algorithms that are available but there has yet to be a comparison that includes all of them. This work compares seven of the currently most popular MM algorithms in terms of performance, credibility, and computational complexity. The algorithms to …
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Using Interacting Multiple Model Filters to Indicate Program Risk
… Kalman filters in for the form of an Interacting Multiple Model (IMM) in order to predict the future state of the program. Traditional multiple model filters use Bayesian technique to adaptively switch between different motion models implemented in the filter structure (USA Patent No. 7030809, …
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An analysis of the multiple model adaptive control algorithm.
Thesis. 1978. Ph.D.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
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Robust stability and performance for multiple model switched adaptive control
While the concept of switching between multiple controllers to achieve a control objective is not new, the available analysis to date imposes various structural and analytical assumptions on the controlled plant. The analysis presented in this thesis, which is concerned with an Estimation-based …
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Multiple-model tracking with fixed-lag smoothing using imprecise information
A new multiple-model filter for target tracking has been developed and performed well in this thesis. The procedure of the new multiple model (MM) filter has no compromises between non-manoeuvre and manoeuvre, and between manoeuvres except in the ambiguous cases. The operation of the new MM filter …
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An extended analysis of the multiple model adaptive control algorithm
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1980.
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Deep-Learning Based Multiple-Model Bayesian Architecture for Spacecraft Fault Estimation
<p>This thesis presents recent findings regarding the performance of an intelligent architecture designed for spacecraft fault estimation. The approach incorporates a collection of systematically organized autoencoders within a Bayesian framework, enabling early detection and classification of …
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Multiple model based real time estimation of wheel-rail contact conditions
… estimation of the contact conditions using multiple models to representvariations in the adhesion level and different contact conditions. The proposed solutionexploits the fact that the dynamic behaviour of a railway vehicle is strongly affected bythe nonlinearities and the variations in …
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Ballistic missile tracking using the interacting multiple model joint probabilistic data association filter
… algorithms. The feasibility of the interacting multiple model joint probabilistic data association filter to effectively track a ballistic missile and detect decoys and maneuvers is the focus of this thesis. Model development and data association schemes are discussed along with optimized values …
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Multiple model estimation for linear stochastic hybrid systems with non-homogeneous transition probabilities
… framework surrounding estimation, filtering, and multiple model based systems is presented. More specifically, the often made assumption of a constant time-invariant mode transition probability matrix is relaxed. Recent work done in the area of non-Markov jump stochastic hybrid systems is …
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Application of multiple model control to space structure systems with nonlinear inertial properties
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1995.
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Advancing multiple model-based control of complex biological systems: Applications in T cell biology
… increasingly rely on predictive mathematical models and control-theoretic tools to design effective strategies to manipulate cellular processes for the advancement of knowledge or therapeutic gain. However, the application of modern control theory to intracellular signal transduction is …
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Application of the multiple model adaptive control method to the control of the lateral dynamics of an aircraft
Thesis. 1975. M.S.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
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Adaptive Coded Modulation Classification and Spectrum Sensing for Cognitive Radio Systems. Adaptive Coded Modulation Techniques for Cognitive Radio Using Kalman Filter and Interacting Multiple Model Methods
… layer of the above core engines. Approximate modelling of Rayleigh and finite state Markov channels (FSMC) with a new concept borrowed from econometric studies have been approached. Then insightful channel estimation by using Kalman filter (KF) augmented with interacting multiple model (IMM) …
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Autonomous and Responsive Surveillance Network Management for Adaptive Space Situational Awareness
… sensor network management for tracking multiple maneuvering and non-maneuvering satellites with a diversely populated Space Object Surveillance and Identification network. The proposed methods integrate suboptimal Partially Observed Markov Decision Processes (POMDPs) with covariance …
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Prognostic Algorithms for Condition Monitoring and Remaining Useful Life Estimation
… is also presented. As part of this work, a multiple model particle �ltering algorithm for prog- nostics is developed and tested. The capabilities of the proposed prognostic solution for addressing the uncertainty challenges in predicting the remaining useful life of abatement systems, …
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Hierarchical modeling of laminated composite plates using variable kinematic finite elements and mesh superposition
… displacement-based, global/local finite element model is developed to permit an accurate, efficient analysis of localized 3-D effects in laminated composite plates. The model is developed using hierarchical, multiple assumed displacement fields at two different levels: (1) at the element level, …
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Fast Adaptive Digital Pre-Distortion Scheme for Application in Cellular Base Station Power Amplifiers
… thesis explores an adaptive DPD scheme using multiple models that combines a switching and a simple adaptation algorithm.Experimental data are used in evaluating the proposed scheme. The multiple model scheme reduces the transient error response and requires a relatively small number of data …
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Adaptive Estimation and Detection Techniques with Applications
… huge diversity of engineering applications. Multiplemodel (MM) estimation is the state-of-the-art approach to many hybrid estimation problems. Existing MM methods with fixed structure usually perform well for problems that can be handled by a small set of models. However, their performance is …
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