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Filtering by: Committee Member Cotilla-Sanchez, J. Eduardo Remove constraint Committee Member: Cotilla-Sanchez, J. Eduardo Committee Member Raich, Raviv Remove constraint Committee Member: Raich, Raviv

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  • Sliding Mode Control of Oscillating Water Column Wave Energy Converters

    Creator:
    Brown, Danielle R.
    Abstract:
    This thesis concerns the development of a direct torque control strategy using a sliding mode control approach to optimize the power output of an oscillating water column (OWC) wave energy converter (WEC). The OWC WEC is a device that has a submerged vertical tail tube open at both ends, which...
    Resource Type:
    Masters Thesis
    Full Text:
    Ibi = −( N∑ j=1 (A∞bibj z̈bj +A ∞ bipj z̈pj )) (2.7) F Ipi = −( N∑ j=1 (A∞pibj z̈bj +A ∞ pipj z̈pj

  • Secure Data Analytics under Data Integrity Attacks

    Creator:
    De Silva, Shashini A.
    Abstract:
    There has been tremendous growth in using data analytic and machine learning algorithms to make critical decisions, such as in the national power grid, healthcare operations, and autonomous vehicles. Employing data analytic for decision-making allows cyber attackers to manipulate the decisions of these algorithms through data falsification. Hence, the trustworthiness...
    Resource Type:
    Dissertation
    Full Text:
    to have pursued my Ph.D. under his supervision. My sincere thanks goes to Prof. Eduardo Cotilla

  • Coupled Compressive Sensing : Sequential Reinforcement Approach

    Creator:
    De Silva, Shashini A.
    Abstract:
    We consider multiple Compressive Sensing (CS) problems wherein the supports of signal vectors of CS problems are restricted to satisfy a collection of joint logical constraints, which we refer to as coupling constraints. We consider a case where the coupling constraints are encoded in a graph and present a sequential...
    Resource Type:
    Masters Thesis
    Full Text:
    Raich, Prof. Eduardo Cotilla-Sanchez, Prof. Xiaoli Fern and Prof. Len Coop for generously offering

  • Identifiability-Aware Joint Sparse Error Correction For Robust State Estimation

    Creator:
    Kibria, Sharmin
    Abstract:
    We study joint nonlinear state estimation with multi-period measurement vectors that are potentially corrupted by sparse gross errors. The identifiability-aware approach is proposed to leverage common characteristics of fundamentally identifiable gross errors to enhance error correction performance. First, we derive a necessary rank condition that the sparsity pattern of any...
    Resource Type:
    Dissertation
    Full Text:
    case letter (eg., X) denotes a matrix, and Xij denotes the (i, j) entry of X. Im denotes the m by m

  • Power Network Parameter Correction via Sparse Unsupervised Regression

    Creator:
    Senaratne, Galpottage Dilan S.
    Abstract:
    Accurate information of power network parameters is essential for performing various power system monitoring and control tasks including state estimation, economic dispatch, and contingency analysis. In this paper, we present a novel approach of power network parameter correction wherein we exploit the sparse nature of parameter errors. Parameter error correction...
    Resource Type:
    Masters Thesis
    Full Text:
    Raich, Prof. Eduardo Cotilla-Sanchez, Prof. Xiao Fu and GCR Prof. Leonard Coop for their time to be