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 32 for “"Adaptive Estimation"”.
-
Adaptive estimation of acoustic normal modes
… array. This thesis develops the problem of mode estimation within a general array processing framework which includes both deterministic and stochastic characterizations of the modal structure. A review of conventional modal beamforming indicates that these methods provide poor resolution in low …
-
Adaptive estimation of acoustic normal modes
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
-
Adaptive Estimation and Detection Techniques with Applications
… 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 limited when the …
-
Optimal parameter adaptive estimation of stochastic processes
… the simultaneous detection and least squares estimation of vector random processes. The problem is formulated in the following context: A random process, out of a countably infinite collection of (not necessarily Gaussian) vector random processes with known distributions, is observed with …
-
Stochastic adaptive estimation with applications to nonlinear control
… is concerned with the development of two adaptive state estimators that are capable of tracking linear plants that undergo rapid configuration changes. The first is a modification of the Partitioned Adaptive Estimator, PAE, first introduced by Magill in 1965, improved and named by …
-
Robust Adaptive Estimation for Autonomous Rendezvous in Elliptical Orbit
… of navigation filters that make use of robust estimation techniques is important due to the sensitivity of the typical minimum L2 norm techniques, such as the Kalman filter, to deviations in the assumed underlying probability distribution. In particular, those distributions with thicker tails …
-
Nonlinear Adaptive Estimation Andits Application To Synchronization Of Lorenz System
Synchronization and estimation of unknown constant parameters for Lorenz-type transmitter are studied under the assumption that one of the three state variables is not transmitted and that transmitter parameters are not known apriori. An adaptive algorithm is proposed to estimate both the state and …
-
Adaptive estimation and control for nuclear power plant load changes.
Massachusetts Institute of Technology. Dept. of Electrical Engineering. Thesis. 1971. Ph.D.
-
Bridging adaptive estimation and control with modern machine learning : a quorum sensing inspired algorithm for dynamic clustering
… time-varying cases. Borrowing ideas from both adaptive estimation and control, and modern machine learning, we propose an algorithm to estimate an "influence radius" for each cell that represents a single data, which is similar to a kernel tuning process in classical machine learning. Then we …
-
Parameter estimation and control of nonlinearly parameterized systems
Parameter estimation in nonlinear systems is an important issue in measurement, diagnosis and modeling. The goal is to find a differentiator free on-line adaptive estimation algorithm which can estimate the internal unknown parameters of dynamic systems using its inputs and outputs. This thesis …
-
Modeling, Approximation, and Control for a Class of Nonlinear Systems
This work investigates modeling, approximation, estimation, and control for classes of nonlinear systems whose state evolves in space $mathbb{R}^n times H$, where $mathbb{R}^n$ is a n-dimensional Euclidean space and $H$ is a infinite dimensional Hilbert space. Specifically, two classes of nonlinear …
-
Autonomous and Responsive Surveillance Network Management for Adaptive Space Situational Awareness
… This dissertation develops several real-time adaptive approaches to autonomous 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 …
-
On estimating the score function and the choice of the smoothing parameter with applications to adaptive estimations
Estimation of the derivative of the log density, or score, function is central to much of recent work on adaptive estimation of econometric models. Most existing score function estimation methods approach the problem by differentiating the logarithm of an estimated density function, such as the …
-
Electrochemical Model Based Fault Diagnosis of Lithium Ion Battery
… (BMS) in improving overall performance. An adaptive estimation technique, namely multiple model adaptive estimation (MMAE) method, was implemented for this purpose. In this estimation algorithm, all the identified models were simulated for a battery current input profile extracted from the …
-
Single mode excitation in the shallow water acoustic channel using feedback control
… control algorithm incorporating elements of adaptive estimation, underwater acoustics, array processing and control theory to generate a high-fidelity single mode is presented. This approach also yields a cohesive framework for evaluating the feasibility of generating a single mode with given …
-
Convergence of Kernel Methods for Modeling and Estimation of Dynamical Systems
… is a non-parametric extension of the classical adaptive estimation method that embeds the uncertain function in an RKHS, an infinite-dimensional function space. As a result the original uncertain system of ordinary differential equations are understood as components of a distributed parameter …
-
Identification and control of an automated off highway agricultural vehicle
… of parameters with arbitrarily chosen initial estimations. The estimation results are compared to other traditional identification methods: least squares estimation and gradient based adaptive estimation. The results highlight the practical benefits of the ILI approach – i.e. that it can be …
-
Adaptive Identification of Nonlinear Systems
… intended to improve the performance of existing adaptive control systems. The first two methods exactly recover open-loop system parameters once a defined convergence condition is met. In either case, the true parameters are identified when the regressor matrix is of full rank and can be …
-
Statistical field estimation and scale estimation for complex coastal regions and archipelagos
… geophysical fluid dynamics is the optimal estimation of gridded fields and of spatial-temporal scales directly from the spatially irregular and multivariate data sets that are collected by varied instruments and sampling schemes. In this work, we derive and utilize new schemes for the …
-
High-precision position control of a heavy-lift manipulator in a dynamic environment
… architecture augmented by a combination of adaptive and sensor-based techniques to estimate and compensate for base-motions and joint friction. A procedure is also suggested by which a parametric friction model can be extracted from adaptive estimates recorded over a period of time. This …
Page 1 of 2