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Showing 1 to 20 of 64 for “"Recursive Least Squares"”.
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Completely Recursive Least Squares and Its Applications
<p>The matrix-inversion-lemma based recursive least squares (RLS) approach is of a recursive form and free of matrix inversion, and has excellent performance regarding computation and memory in solving the classic least-squares (LS) problem. It is important to generalize RLS for generalized LS …
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One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive Least-Squares
… overparameterized models, we develop Orthogonal Recursive Fitting (ORFit), an algorithm for one-pass learning which seeks to perfectly fit every new datapoint while changing the parameters in a direction that causes the least change to the predictions on previous datapoints. By doing so, we …
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The effects of precision on the fast, recursive least-squares transversal filters for adaptive filtering
Fast Recursive Least-Squares Transversal Filters (FTF), an important class of algorithms for adaptive filtering, have the well known problem of numerical instability. Several recent papers have suggested methods to modify the algorithm presented by Cioffi [3] to improve the algorithm’s stability. …
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Adaptive Fuzzy Reinforcement Learning for Flock Motion Control
… technique is in the form of an online fuzzy recursive least squares-based Policy Iteration control scheme, which employs a recursive least squares algorithm to estimate the weights in the leader tracking subsystem, as a substitute for the original reinforcement learning actor-critic scheme …
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Accelerated gradient techniques and adaptive signal processing
… be attractive alternatives to the conventional recursive least squares algorithms. In addition, the thesis includes a review chapter in which the conventional approaches (ranging from the least mean squares algorithm to the computationally demanding recursive least squares algorithm) to three …
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Aviation Propulsive Lithium-Ion Battery Packs State-of-Charge and State-of-Health Estimations and Propulsive Battery System Weight Analysis
… of a lithium- ion propulsive battery pack with a recursive least squares based adaptive estimator. By reading the system measurements (discharging currents and terminal voltages) with persistent excitation, the proposed estimator can determine the present internal parameters of the battery cells …
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Extremum seeking control of battery powered vapor compression systems for vehicles
… different ESC algorithms (perturbation-ESC, least squares-ESC and recursive least squares-ESC) on a simulated and physical integrated VCS (the VCS in conjunction with the battery pack and vehicle cabin). Simulation and experimental results demonstrate significant increases in energy …
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Stereophonic Acoustic Echo Cancellation: Theory and Implementation
… echo canceler based on the two-channel fast recursive least-squares algorithm is presented. An analysis of the system calculation complexity is also given, in addition to simulation results on recorded real-life data. Paper II presents a comparison between adaptive filters for usage in …
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Bottom-Up High -Level Power Modeling and Estimation
… developments of these macromodels based on recursive least squares (RLS) algorithm. Due to simplicity and automatic generation of the macromodels, the macromodels can be combined with any RT tool, which in turn enables the designer to explore area, delay, and power space early in the design.
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Adaptive noise cancelling applied to machine condition monitoring
… algorithms, the two main ones being the Least-Mean-Squares (LMS) and Recursive-Least-Squares (RLS) algorithms.
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Direct-form adaptive equalization for underwater acoustic communication
… which we term the Soft-Decision Directed Recursive Least Squares algorithm. We will demonstrate connections between the Expectation-Maximization (EM) algorithm and the Recursive Least Squares algorithm, and show how to derive a computationally efficient, purely recursive algorithm from the …
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Fast Adaptive Laws for Adaptive Control Under Stochastic Disturbances
… Second, we review the state of the literature on recursive least-squares adaptive laws - especially those with variable-direction forgetting factor - and we derive an alternative to a recent method proposed in the literature. Recently, a high-order tuner algorithm was recently developed for the …
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Direct-form adaptive equalization for underwater acoustic communication
… which we term the Soft-Decision Directed Recursive Least Squares algorithm. We will demonstrate connections between the Expectation-Maximization (EM) algorithm and the Recursive Least Squares algorithm, and show how to derive a computationally efficient, purely recursive algorithm from the …
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Parametric design of an adaptive line enhancer for multiple switching tones in a correlated noise environment
… Digital Fourier Transform (DFT) algorithm, a Least Mean Squares (LMS) adaptive algorithm, a Fast Recursive Least Squares (Fast RLS) adaptive algorithm, and the Fast Gradient adaptive algorithm. The DFT algorithm is incapable of removing correlations from the incoming noise, and the LMS and …
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Robust acoustic signal detection and synchronization in a time varying ocean environment
… an alternative method of detection based on a recursive least squares linearly adaptive equalizer which we term the Adaptive Linear Equalizer Detector (ALED). This detectors performance has demonstrated reliable probability of detection with minimal interfering false alarms with SNR as low as …
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Robust acoustic signal detection and synchronization in a time varying ocean environment
… an alternative method of detection based on a recursive least squares linearly adaptive equalizer which we term the Adaptive Linear Equalizer Detector (ALED). This detectors performance has demonstrated reliable probability of detection with minimal interfering false alarms with SNR as low as …
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First Order Dynamic Sliding Mode Control of a Wind Turbine with Optimized Tip Speed Ratio
… (TSR) for maximum power using the Recursive Least Squares (RLS) method. The RLS generates a polynomial connecting the TSR and power coefficient, defining the wind turbine's operating point. A forgetting factor is incorporated in the RLS method for system adaptability to changing …
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