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1. Full Text Model-Free Self-Triggered Control Co-Design for Probabilistic Boolean Control Networks
by Acernese, Antonio and Yerudkar, Amol and Glielmo, Luigi and Del Vecchio, Carmen
IEEE control systems letters, 11/2021, Volume 5, Issue 5, pp. 1639 - 1644
State feedback | System dynamics | Switches | Markov processes | Probabilistic logic | model-free co-design | Probability distribution | Probabilistic Boolean control networks | self-triggered control | Adaptive control | reinforcement learning
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2. Full Text Stochastic Model Predictive Control Using Simplified Affine Disturbance Feedback for Chance-Constrained Systems
by Zhang, Jingyu and Ohtsuka, Toshiyuki
IEEE control systems letters, 11/2021, Volume 5, Issue 5, pp. 1633 - 1638
stochastic optimal control | State feedback | constrained control | Perturbation methods | Stochastic systems | Stochastic processes | Probabilistic logic | Feedback control | Standards | Predictive control
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3. Full Text Heterogeneous Explore-Exploit Strategies on Multi-Star Networks
by Madhushani, Udari and Leonard, Naomi Ehrich
IEEE control systems letters, 11/2021, Volume 5, Issue 5, pp. 1603 - 1608
Protocols | heterogeneous strategies | Decision making | Stochastic processes | Bandit algorithms | Broadcasting | distributed learning | Probabilistic logic | Random variables | Servers
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4. Full Text Data Selection for Multi-Task Learning Under Dynamic Constraints
by Capone, Alexandre and Lederer, Armin and Umlauft, Jonas and Hirche, Sandra
IEEE control systems letters, ISSN 2475-1456, 07/2021, Volume 5, Issue 3, pp. 959 - 964
stochastic optimal control | Uncertainty | identification | uncertain systems | Machine learning | Aerospace electronics | Approximation algorithms | Probabilistic logic | Data models | Trajectory | information theory and control | Task analysis
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5. Full Text Probabilistic assessment of the impact of electric vehicles and nonlinear loads on power quality in residential networks
by Rodríguez-Pajarón, Pablo and Hernández, Araceli and Milanović, Jovica V
International journal of electrical power & energy systems, ISSN 0142-0615, 07/2021, Volume 129, p. 106807
Harmonic analysis | Electric vehicle | Power quality | Probabilistic analysis | Unbalances
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6. Full Text Risk-informed approach for safety improvement of domestic research reactor
by Lee, Yoon-Hwan
Annals of nuclear energy, ISSN 0306-4549, 06/2021, Volume 156, p. 108173
Initiating event | Core damage frequency | Risk | Probabilistic safety assessment | Operating procedure | Research reactor
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7. Full Text Three-way decisions based multi-attribute decision making with probabilistic dominance relations
by Wang, Wenjie and Zhan, Jianming and Zhang, Chao
Information sciences, ISSN 0020-0255, 06/2021, Volume 559, pp. 75 - 96
Decision-theoretic rough set | Three-way decision | Information system | Probabilistic dominance relation | Multi-attribute decision making
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8. Full Text Synthesizing safe policies under probabilistic constraints with reinforcement learning and Bayesian model checking
by Belzner, Lenz and Wirsing, Martin
Science of computer programming, ISSN 0167-6423, 06/2021, Volume 206, p. 102620
Safe reinforcement learning | Policy synthesis | Probabilistic constraints | Constrained Markov decision process | Bayesian model checking
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9. Full Text Probabilistic modeling of the size effect and scatter in High Cycle Fatigue using a Monte-Carlo approach: Role of the defect population in cast aluminum alloys
by El Khoukhi, Driss and Morel, Franck and Saintier, Nicolas and Bellett, Daniel and Osmond, Pierre and Le, Viet-Duc
International journal of fatigue, ISSN 0142-1123, 06/2021, Volume 147, p. 106177
Representative Volume Element (RVE) | Cast aluminum alloys | Scatter in fatigue strength | High cycle fatigue | Highly stressed volume | Probabilistic model | Size effect in fatigue | Casting defect population
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10. Full Text Simple method based on sensitivity coefficient for stochastic uncertainty analysis in probabilistic risk assessment
by Takeda, Satoshi and Kitada, Takanori
Reliability engineering & system safety, ISSN 0951-8320, 05/2021, Volume 209, p. 107471
Probabilistic risk assessment | Multiple Greek Letter method | Sensitivity coefficient | Uncertainty analysis | [formula omitted] factor method
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11. Full Text MPPCANet: A feedforward learning strategy for few-shot image classification
by Song, Yu and Chen, Changsheng
Pattern recognition, ISSN 0031-3203, 05/2021, Volume 113, p. 107792
Mixtures of probabilistic principal component analysis | PCANet | Feedforward learning
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12. Full Text Analysis of Global and Local Synchronization in Parallel Computing
by Cicirelli, Franco and Giordano, Andrea and Mastroianni, Carlo
IEEE transactions on parallel and distributed systems, ISSN 1045-9219, 05/2021, Volume 32, Issue 5, pp. 988 - 1000
Parallel computing | efficiency | Algebra | Computational modeling | Simulation | Parallel processing | Probabilistic logic | Random variables | Synchronization | Engineering, Electrical & Electronic | Engineering | Computer Science, Theory & Methods | Technology | Computer Science | Science & Technology
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13. Full Text Probabilistic evaluations on marginal price and capacity adequacy of power systems with price-elastic demand
by Ma, Jingjie and Zhang, Shaohua and Wu, Lei and Liu, Yikui and Wang, Xian and Li, Xue and Wang, Fei
Electric power systems research, ISSN 0378-7796, 05/2021, Volume 194, p. 107045
Demand-price elasticity | Marginal price | Capacity adequacy | Probabilistic evaluation
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14. Full Text Probabilistic estimation model of power curve to enhance power output forecasting of wind generating resources
by Yun, Eunjeong and Hur, Jin
Energy (Oxford), ISSN 0360-5442, 05/2021, Volume 223, p. 120000
Power spectral density | Slope estimation | Power output forecasting | Wind generating resources | Probabilistic power curve | Monte Carlo simulation
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15. Full Text GINNs: Graph-Informed Neural Networks for multiscale physics
by Hall, Eric J and Taverniers, Søren and Katsoulakis, Markos A and Tartakovsky, Daniel M
Journal of computational physics, ISSN 0021-9991, 05/2021, Volume 433, p. 110192
Deep learning | Uncertainty propagation | Electrical double layer capacitor (EDLC) | Surrogate model | Bayesian network | Probabilistic graphical model (PGM)
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16. Full Text Event identification of a phase-sensitive OTDR sensing system based on principal component analysis and probabilistic neural network
by Wang, Xin and Zhang, Ailun and Liang, Sheng and Lou, Shuqin
Infrared physics & technology, ISSN 1350-4495, 05/2021, Volume 114, p. 103630
Event identification | Nuisance alarm rate (NAR) | Principal component analysis (PCA) | Probabilistic neural network (PNN)
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