Treffer 1 - 20 von 22.441

1

Near-Optimal Performance of Stochastic Model Predictive Control.
Shin, Sungho ; Na, Sen ; Anitescu, Mihai
Mathematics of Operations Research (INFORMS). Jan2026, p1. 32p.

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2

Multi-stage Nonlinear Model Predictive Control with Online Scenario Update for Semi-batch Polymerization Processes.
Sun, Jing-Gao ; Chen, Xian-Feng ; Su, Guang-Hao ; et al.
International Journal of Control, Automation & Systems; Oct2022, Vol. 20 Issue 10, p3187-3197, 11p

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3

On the Out-of-Sample Performance of Stochastic Dynamic Programming and Model Predictive Control.
Keehan, Dominic S. T. ; Philpott, Andrew B. ; Anderson, Edward J.
INFORMS Journal on Optimization. Aug2025, p1. 20p.

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4

An improved event-triggered predictive control for capacity adjustment in reconfigurable job-shops.
Zhang, Qiang ; Liu, Ping ; Chen, Yu ; et al.
International Journal of Production Research. Sep2023, Vol. 61 Issue 17, p5974-5991. 18p. 1 Diagram, 4 Charts, 8 Graphs.

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5

Numerical Methods for Scenario Tree Nonlinear Model Predictive Control
Leidereiter, Conrad

ddc-500 500 Natural sciences and... ddc-510 510 Mathematics
Dissertation
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6

Predictive reinforcement learning: map-less navigation method for mobile robot.
Dobriborsci, Dmitrii ; Zashchitin, Roman ; Kakanov, Mikhail ; et al.
Journal of Intelligent Manufacturing. Dec2024, Vol. 35 Issue 8, p4217-4232. 16p.

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7

An Iterative Adaptive Dynamic Programming Approach for Macroscopic Fundamental Diagram-Based Perimeter Control and Route Guidance.
Chen, Can ; Geroliminis, Nikolas ; Zhong, Renxin
Transportation Science. Jul/Aug2024, Vol. 58 Issue 4, p896-918. 23p.

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8

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9

Multistage nonlinear model predictive control for pumping treatment in hydraulic fracturing.
Lin, Kuan‐Han ; Eason, John P. ; Biegler, Lorenz T.
AIChE Journal; Mar2022, Vol. 68 Issue 3, p1-19, 19p

HYDRAULIC fracturing SLURRY PREDICTION models TREATMENT of fractures PROPERTIES of fluids PETROLEUM
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10

Deep learning based self-adaptive modeling of multimode continuous manufacturing processes and its application to rotary drying process.
Wang, Tianyu ; Zheng, Ruixiang ; Li, Mian ; et al.
Journal of Intelligent Manufacturing. Aug2025, Vol. 36 Issue 6, p3887-3922. 36p.

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11

Rolling horizon policies for multi-stage stochastic assemble-to-order problems.
Gioia, Daniele Giovanni ; Fadda, Edoardo ; Brandimarte, Paolo
International Journal of Production Research. Jul2024, Vol. 62 Issue 14, p5108-5126. 19p.

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12

Dual decomposition for QPs in scenario tree NMPC
Leidereiter, Conrad ; Potschka, Andreas ; Bock, Hans Georg
2015 European Control Conference (ECC) Control Conference (ECC), 2015 European. :1608-1613 Jul, 2015

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13

Scenario-Based Nonlinear Model Predictive Control for Switched Systems with Externally Forced Switchings
Katayama, Sotaro ; Ohtsuka, Toshiyuki
2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Society of Instrument and Control Engineers of Japan (SICE), 2018 57th Annual Conference of the. :1098-1103 Sep, 2018

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14

Path Planning and Motion Control for Accurate Positioning of Car-like Robots
Dai, Jin ; Wang, Zejiang ; Wang, Yebin ; et al.

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15

A novel machine learning-based multiobjective robust optimisation strategy for quality improvement of multivariate manufacturing processes.
Sharma, Abhinav Kumar ; Mukherjee, Indrajit ; Bera, Sasadhar
International Journal of Production Research. Jul2023, Vol. 61 Issue 13, p4322-4340. 19p. 1 Illustration, 3 Diagrams, 12 Charts, 2 Graphs.

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16

Dynamic Procurement of New Products with Covariate Information: The Residual Tree Method.
Ban, Gah-Yi ; Gallien, Jérémie ; Mersereau, Adam J.
Manufacturing & Service Operations Management (M&SOM). Fall2019, Vol. 21 Issue 4, p798-815. 18p.

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17

Scenario Trees and Policy Selection for Multistage Stochastic Programming Using Machine Learning.
Defourny, Boris ; Ernst, Damien ; Wehenkel, Louis
INFORMS Journal on Computing. Summer2013, Vol. 25 Issue 3, p488-501. 14p. 2 Diagrams, 7 Charts, 2 Graphs.

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18

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19

Robust Multi-Stage Nonlinear Model Predictive Control Using Sigma Points.
Thangavel, Sakthi ; Paulen, Radoslav ; Engell, Sebastian
Processes; Jul2020, Vol. 8 Issue 7, p851, 1p

PREDICTION models POLYMERIZATION reactors SET functions PARAMETER estimation
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20

Multi‐stage economic model predictive control for a gold cyanidation leaching process under uncertainty.
Jia, Runda ; You, Fengqi
AIChE Journal; Jan2021, Vol. 67 Issue 1, p1-18, 18p

UNCERTAINTY ECONOMIC models PREDICTION models NOISE measurement LEACHING UNCERTAIN systems
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