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Filtering by: Advisor Magana, Mario Remove constraint Advisor: Magana, Mario Committee Member Kim, Jinsub Remove constraint Committee Member: Kim, Jinsub

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  • Multiple Nonlinear Model Predictive Control for a Six-body System Oscillating Water Column Wave Energy Converters Array

    Creator:
    Xu, Zhicheng
    Abstract:
    This research presents the design of three nonlinear model predictive controllers (NMPCs) for floating oscillating water column (OWC) wave energy converters (WECs) array to maximize generated power, augmented with the control of the high-speed stop valves (HSSVs). Key to this design is the development of a high-fidelity discretized model for...
    Resource Type:
    Masters Thesis
    Full Text:
    Converters Array Abstract approved: Mario Edgardo Magaña This research presents the design of three

  • The Partitioning Technique of Power System to Improve the Observability of Sub-System for Multi-area State Estimation

    Creator:
    Lyu, Tao
    Abstract:
    An accurate state estimation plays an essential role in power system operation and planning in energy management systems. However, existing multi-area state estimation researches have not focused on the importance of system clustering. The clustering mechanism divides or partitions a system according to user-defined criteria. Few published research works have...
    Resource Type:
    Dissertation
    Full Text:
    Estimation Abstract approved: Mario Edgardo Magaña An accurate state estimation plays an essential role

  • Distributed Dynamic Multi-Area State Estimation with Fusion Technique

    Creator:
    Guo, Jia
    Abstract:
    As the power system grows larger and more complex, real-time monitoring and control become very significant in order to achieve reliable operation of the power system. Before any security assessment can be made or control actions are taken, the reliable estimate of the existing state of the system must be...
    Resource Type:
    Dissertation
    Full Text:
    : Distributed Dynamic Multi-Area State Estimation with Fusion Technique Abstract approved: Mario E. Magaña

  • Channel Estimation in TDD MU-MIMO Systems using Sub-Linear Sparse Signal Recovery Algorithms

    Creator:
    Barry, David G.
    Abstract:
    Massive Multiple-User Miltiple-Input Multiple-Output (MU-MIMO) wireless communication systems incorporate promising advanced strong technologies for upcoming 5G communications. To obtain some of the high spectrum and energy e ciencies bonuses brought by MU-MIMO systems, the ability to obtain Channel State information, especially on the receiver side (CSI), is important. To minimize...
    Resource Type:
    Masters Thesis
    Full Text:
    : Mario E. Magaña Massive Multiple-User Miltiple-Input Multiple-Output (MU-MIMO) wireless communi

  • Channel Estimation in TDD Massive MIMO Systems with Subsampled Data at BS

    Creator:
    Tian, Yichuan
    Abstract:
    Massive MIMO is a promising technique for future 5G communications due to its high spectrum and energy efficiency. To realize its potential performance gain, accurate channel state information at transmitter side (CSIT) is essential. Frequency division duplex (FDD) is widely employed by the most cellular systems today. However, it requires...
    Resource Type:
    Masters Thesis
    Full Text:
    : ______________________________________________________ Mario E. Magaña Massive MIMO is a promising technique for future 5G communications due to

  • Grid Voltage Frequency Estimation Using an Adaptive Complex Master-Slave Unscented Kalman Filter

    Creator:
    Muñoz Constantine, Juan Pablo
    Abstract:
    Due to the popularity of electronically controlled loads and the widespread use of alternative energy sources such as wind turbines and solar cells, the power quality at the distribution level must be carefully monitored. One of the many different means to monitor power quality is through frequency measurements. Nonlinearities cause...
    Resource Type:
    Masters Thesis
    Full Text:
    approved: ______________________________________________________ Mario E. Magaña Due to the

  • Secrecy of massive MIMO systems under antenna failure

    Creator:
    Assiri, Mohammad
    Abstract:
    As the fifth generation of mobile communication systems (5G) is being deployed, massive multiple-input multiple-output (MIMO) serves as one of its enabling technologies where reliable and ultra low latency communications are achieved while being power and spectrum efficient. This thesis studies the security aspect of massive MIMO system from the...
    Resource Type:
    Dissertation
    Full Text:
    . Title: Secrecy of Massive MIMO Systems Under Antenna Failure Abstract approved: Mario E. Magaña Bella