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Published in 2021 at "Science China Information Sciences"
DOI: 10.1007/s11432-021-3293-0
Abstract: This paper presents an adaptive state-feedback strategy for state-constrained stochastic high-order nonlinear systems. By adding a power integrator and adaptive backstepping techniques, a new adaptive controller is constructed without imposing feasibility conditions, which guarantees that…
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Keywords:
adaptive state;
state;
state constrained;
constrained stochastic ... See more keywords
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Published in 2019 at "Journal of Statistical Mechanics: Theory and Experiment"
DOI: 10.1088/1742-5468/ab4bbc
Abstract: In a recent article, Krapivsky and Redner (J. Stat. Mech. 093208 (2018)) established that the distribution of the first hitting times for a diffusing particle subject to hitting an absorber is independent of the direction…
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Keywords:
strongly constrained;
stochastic processes;
constrained stochastic;
processes multi ... See more keywords
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Published in 2017 at "Journal of Inequalities and Applications"
DOI: 10.1186/s13660-017-1529-2
Abstract: We present a new method for solving the box-constrained stochastic linear variational inequality problem with three special types of uncertainty sets. Most previous methods, such as the expected value and expected residual minimization, need the…
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Keywords:
stochastic linear;
linear variational;
box constrained;
constrained stochastic ... See more keywords
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Published in 2018 at "Energies"
DOI: 10.3390/en11010243
Abstract: In this paper, an adaptively constrained stochastic model predictive control (MPC) is proposed to achieve less-conservative coordination between energy storage units and uncertain renewable energy sources (RESs) in a microgrid (MG). Besides the economic objective…
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Keywords:
model predictive;
constrained stochastic;
stochastic model;
predictive control ... See more keywords