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Titlebook: Uncertainty in Complex Networked Systems; In Honor of Roberto Tamer Başar Book 2018 Springer Nature Switzerland AG 2018 Uncertainty in sys

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Robust Static Output Feedback Design with Deterministic and Probabilistic Certificatesllenge even harder. In this chapter, we propose a new BMI formulation with S-variables which includes an interesting link between state feedback, output injection, state injection, and static output feedback gains in a unified framework. Based on this formulation, the robust design problem is suitab
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Robust Control Against Uncertainty Quartet: A Polynomial Approachthree desirable properties. First, it is required to capture and perturbations. Second, it needs to be mathematically tractable, preferably by using elementary tools. Third, it should lead to a self-contained robust control theory, encompassing analysis and synthesis techniques that are accessible t
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Compressive Sensing and Algebraic Coding: Connections and Challengesects include: high dimensional but sparse vectors, large images with very few sharp edges, and high-dimensional matrices of low rank. One of the most popular methods for reconstruction is to solve a suitably constrained .-norm minimization problem, otherwise known as basis pursuit (BP). In this appr
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Stochastic Optimization for Energy Storage Allocation in Smart Grids in the Presence of Uncertaintythe presence of distributed generation from renewable energy sources, stochastic demand patterns, and varying network configurations. The impact of uncertainty on the solution of different problems formulated in the optimal power flow framework calls for stochastic programming paradigms in the form
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