Results 11 to 20 of about 5,851 (265)
Output‐feedback stochastic model predictive control of chance‐constrained nonlinear systems
IET Control Theory & Applications, 2023 This study covers the output‐feedback model predictive control (MPC) of nonlinear systems subjected to stochastic disturbances and state chance constraints. The stochastic optimal control problem is solved in a stochastic dynamic programming fashion, and
Jingyu Zhang, Toshiyuki Ohtsuka
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A Synthesizing Effect-Based Solution Method for Stochastic Rough Multi-objective Programming Problems [PDF]
International Journal of Computational Intelligence Systems, 2014 Multi-objective programming with uncertain information has been widely applied in modeling of industrial produce and logistic distribution problems. Usually the expectation value model and chance-constrained model as solution models are used to deal with
Lei Zhou, Guoshan Zhang, Fachao Li
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Future Business Journal, 2018 Linear Programming model is an important tool used to solve constrained optimization problems. In fact, the real life problems are usually occurring in the presence of uncertainty.
Maha Ismail +2 more
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FEM shakedown analysis of structures under random strength with chance constrained programming
Vietnam Journal of Mechanics, 2022 Direct methods, comprising limit and shakedown analysis, are a branch of computational mechanics. They play a significant role in mechanical and civil engineering design.
Ngoc Trinh Tran +6 more
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CSEE Journal of Power and Energy Systems, 2019 A novel stochastic optimal dispatch model is proposed considering medium and long-term electricity transactions for a wind power integrated energy system using chance constrained programming.
Gang Wu +4 more
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Developing Talent from a Supply–Demand Perspective: An Optimization Model for Managers
Logistics, 2017 While executives emphasize that human resources (HR) are a firm’s biggest asset, the level of research attention devoted to planning talent pipelines for complex global organizational environments does not reflect this emphasis. Numerous challenges exist
Hadi Moheb-Alizadeh, Robert B. Handfield
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An optimal capacity allocation method for integrated energy systems considering uncertainty
AIP Advances, 2023 The randomness and fluctuation of wind power output will cause certain waste in capacity allocation of integrated energy system. Therefore, a robust chance constrained optimization model is proposed to solve the shortcomings of the traditional model in ...
Yuliang Zhang, Jianguo Zhang, Yujie Chen
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Distributionally Robust Joint Chance Constrained Problem under Moment Uncertainty
Journal of Applied Mathematics, 2014 We discuss and develop the convex approximation for robust joint chance constraints under uncertainty of first- and second-order moments. Robust chance constraints are approximated by Worst-Case CVaR constraints which can be reformulated by a ...
Ke-wei Ding
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Journal of Applied Mathematics, 2013 An equilibrium chance-constrained multiobjective programming model with birandom parameters is proposed. A type of linear model is converted into its crisp equivalent model. Then a birandom simulation technique is developed to tackle the general birandom
Zhimiao Tao, Jiuping Xu
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Energies, 2019 Stochastic production from wind power plants imposes additional uncertainty in power system operation. It can cause problems in load and generation balancing in the power system and can also cause congestion in the transmission network.
Krešimir Fekete +3 more
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