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 47 for “"convergence time"”.
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Peer PPP-RTK: toward an affordable real-time high accuracy service
… GNSS PPP-RTK (Precise Point Positioning- Real Time Kinematic) operational framework based on a dense network of peer users, through the exchange of precise Ionospheric and Tropospheric estimates between peers. The PPP-AR (PPP Ambiguity Resolution) technique, based on the use of precise …
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Cascade RLS with Subsection Adaptation
… and N is the order of the filter. We analyze the convergence rate of the CRLS-SA algorithm based on the convergence time constant concept, which is the ratio of the condition number and the sensitivity. The CRLS- SA structure is shown to satisfy the DeBrunner-Beex conjecture which says that a …
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Convergence speed in distributed consensus and averaging
… case, and one for the dynamic-topology case. The convergence times of our fixed-graph algorithms compare favorably with other known methods, while our algorithm for the dynamic-topology case is the first to be accompanied by a polynomial-time bound on the worst-case convergence time.
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Extending the Scalability of Linkage Learning Genetic Algorithms: Theory and Practice
… is the main cause of the exponential growth of convergence time. Finally, adopting subchromosome representations can reduce the competition among building blocks, and therefore, scalable genetic linkage learning for a unimetric approach is possible.
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Implementation of Adaptive Filter Algorithms for the Suppression of Thermoacoustic Instabilities
… to the gradient descent algorithms, the convergence time was lower for the gradient descent algorithms. The gradient algorithms were also superior in the presence of actuator authority limitations. The pulsed actuation on the Rijke tube showed that the convergence time is decreased for …
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A robust and efficient autonomous exploration methodology of unknown environments for multi-robot systems
… efficient technique due to the algorithm’s quick convergence time and its ability to segment a previously unknown map in a logical manner. In this method, a global executive receives frontiers from local robots, filters them, clusters them using the k-means method, and then reassigns them to the …
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Comparison of Power Flow Algorithms for inclusion in On-line Power Systems Operation Tools
… method for a load flow run to achieve less run time. Unlike the proposed method, the traditional load flow analysis uses only one numerical method at a time. This adaptive algorithm performs all the computation for finding the bus voltage angles and magnitudes, real and reactive powers for the …
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Modeling and mitigating cascading failures in interdependent power grids and communication networks
… stable. We also analyze the impact of discrete-time communication on the performance of distributed frequency control. We show that the convergence time increases as the time interval between two messages increases, and propose a new algorithm that uses the dynamics of the power grid to decrease …
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In -Network Computation in Wireless Sensor Networks
… metric in sensor networks, which is network lifetime. We consider a formulation of maximizing network lifetime given the simple task of downloading different quantities of data over nodes with different energy levels. We reduce the problem of choosing lifetime optimal routes to a linear program, …
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Motion planning for multi-link robots with artificial potential fields and modified simulated annealing
… the performance of the algorithm and reduce convergence time. Validation on a three-link snake robot shows that the derived control laws from the motion planning algorithm that combine APF and SA can successfully navigate the robot to reach its destination, while avoiding collisions with …
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Route recovery schemes for link and node failure and link congestion
… work in physical layer, therefore their convergence time is very small. On the other hand, many schemes have been proposed to mitigate the failure influence on the network. These schemes work in upper layers such as the network layer. However, hardware solutions faster than other schemes, …
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Comparative Analysis of Coulomb Counting and Extended Kalman Filter for State of Charge Estimation in Battery Management Systems
… models were evaluated on the metric of RMSE, and convergence time. It was concluded that the EKF method, outperformed the CC method as a state-of-the-art SOC estimation technique, employed in battery management system (BMS) by battery developers for the EV use case.
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Bridging the Gap Between Real-time Video and Backlogged Traffic Congestion Control
Real-time video applications, such as video conferencing, have become essential to our daily lives, and ensuring reliable and high-quality video delivery in the face of network fluctuation and resource constraints is critical. However, video congestion control algorithms have been criticized for …
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Improving QoE of Video Streaming using Network Awareness
… specified approach performs better in terms of convergence time and reduces bit rate switching events than traditional DASH streaming.
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Stochastic recruitment strategies for controlling artificial muscles
… the number of contracted fibers at any point in time. This architecture enables the creation of large-scale, controllable actuators from highly non-linear active materials. The key innovation enabling the central controller to coordinate the behavior of very many small identical units is to …
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Intelligent Parameter Adaptation for Chemical Processes
… usually run in steady-state for long periods of time, saving a few dollars an hour can have significant long term effects. However, the complexity involved in most chemical processes from nonlinear dynamics makes them difficult processes to optimize. A nonlinear, open-loop unstable system, called …
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Parameter sensitivity, estimation and convergence: an information approach
Convergence rates are analyzed for Recursive Prediction (Output) Error Methods (RPEM) in the identification of linear state-space systems from (noisy) impulse response data) RPEM algorithms are derived which are suitable for the identification of the parameters in arbitrary state-space structures. …
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Potential-based analysis of social, communication, and distributed networks
… We provide tight expressions for the expected convergence time of such dynamics over general static and time-varying networks. Following this, we introduce new protocols using a special class of Markov chains known as Metropolis chains and obtain the fastest (as of today) randomized quantized …
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Modifications To The Fuzzy-ARTMAP Algorithm For Distributed Learning In Large Data Sets
… network approaches. Nevertheless the learning time of FAM can slow down considerably when the size of the training set increases into the hundreds of thousands. In this dissertation we apply data partitioning and network partitioning to the FAM algorithm in a sequential and parallel setting to …
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