Suchergebnisse - "Approximate dynamic programming"

A Reinforcement-Learning, Optimal Approach to In Situ Power Hardware-in-the-Loop Interface Control for Testing Inverter-Based Resources: Theory and Application of the Adaptive Dynamic Programming Based on the Hybrid Iteration to Tackle Uncertain Dynamics

Autoren: Masoud Davari Omar Qasem Weinan Gao et al.

Quelle: Davari, M, Qasem, O, Gao, W, Blaabjerg, F, Kotsampopoulos, P C, Lauss, G & Hatziargyriou, N D 2025, 'A Reinforcement-Learning, Optimal Approach to In Situ Power Hardware-in-the-Loop Interface Control for Testing Inverter-Based Resources: Theory and Application of the Adaptive Dynamic Programming Based on the Hybrid Iteration to Tackle Uncertain Dynamics', IEEE Transactions on Industrial Electronics, vol. 72, no. 6, 10753351, pp. 5867-5883. https://doi.org/10.1109/TIE.2024.3426038

Schlagwörter: output feedback control, Testing, power-hardware-in-the-loop-simulation-based (PHIL-simulation-based) testing, Uncertainty, inverter-based resources (IBRs), policy iteration (PI) method/algorithm, Dynamic programming, Hardware, Transfer functions, power hardware-in-the-loop (PHIL), Hybrid power systems, Power system dynamics, value iteration (VI) method/algorithm, power hardware-in-the-loop interface control (PHIL-IC), Adaptive dynamic programming (ADP, also known as approximate dynamic programming), Frequency-domain analysis, hybrid iteration (HI) method/algorithm, Convergence, Companies

Zugangs-URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10753351
https://doi.org/10.1109/TIE.2024.3426038
http://www.scopus.com/inward/record.url?scp=85209657124&partnerID=8YFLogxK
https://vbn.aau.dk/da/publications/6dff9501-b981-49c0-84b5-ef6394da0245

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems: A Q-learning algorithm to solve the two-player zero-sum game problem for nonlinear systems

Autoren: Afreen Islam Anthony Siming Chen Guido Herrmann

Quelle: Islam, A, Siming Chen, A & Herrmann, G 2025, 'A Q-Learning Algorithm to Solve the Two-Player Zero-Sum Game Problem for Nonlinear Systems', International Journal of Adaptive Control and Signal Processing. https://doi.org/10.1002/acs.3958

Schlagwörter: Approximate Dynamic Programming, Adaptive Control, zero-sum game, Systems theory, control, Q-learning, Zero-Sum Game, adaptive control, approximate dynamic programming, Q-Learning

Dateibeschreibung: application/xml

​​Classified modeling and day-ahead optimal scheduling of multi-type adjustable industrial loads in industrial microgrid using improved approximate dynamic programming

Autoren: Tao Sun Ping Yang Yingxuan Sun et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-19 (2025)

Schlagwörter: Adjustable industrial loads, Supply-demand imbalance mitigation, Accurate modeling, Day-ahead optimal scheduling algorithm, Improved approximate dynamic programming, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/9976b96d32fa4bed94426accbbdccbc0

Undiscounted control policy generation for continuous-valued optimal control by approximate dynamic programming

Autoren: Lock, Jonathan McKelvey, Tomas

Quelle: International Journal of Control UCPADP Matlab implementation. 95(10):2854-2864

Schlagwörter: Approximate dynamic programming, undiscounted infinite-horizon, optimal control, control policy

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/524715
https://research.chalmers.se/publication/523565
https://research.chalmers.se/publication/524551
https://research.chalmers.se/publication/524715/file/524715_Fulltext.pdf

Stochastic Optimization Strategy for Load Management of Industrial Park Under Energy Constraints

Autoren: Chuanhong RU Ji LU Jian QIN et al.

Quelle: Zhongguo dianli, Vol 58, Iss 8, Pp 130-138 (2025)

Schlagwörter: industrial park, load management, random prediction model, two stage stochastic programming, approximate dynamic programming, Electricity, QC501-721, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Dateibeschreibung: electronic resource

Relation: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202311142; https://doaj.org/toc/1004-9649

Zugangs-URL: https://doaj.org/article/def46989d891423ca166ce15d7048808

Progressive State Space Disaggregation for Infinite Horizon Dynamic Programming

Autoren: Forghieri, Orso Castel, Hind Hyon, Emmanuel et al.

Weitere Verfasser: Forghieri, Orso Castel, Hind Hyon, Emmanuel et al.

Quelle: Proceedings of the International Conference on Automated Planning and Scheduling. 34:221-229

Schlagwörter: Approximate Dynamic Programming, Planning, Aggregated Markov Decision Process, [MATH] Mathematics [math], [INFO] Computer Science [cs], Markov Decision Process, Hierarchical

Dateibeschreibung: application/pdf

A simulation-based approximate dynamic programming approach to dynamic and stochastic resource-constrained multi-project scheduling problem

Autoren: U. Satic P. Jacko C. Kirkbride et al.

Weitere Verfasser: U. Satic P. Jacko C. Kirkbride et al.

Quelle: European Journal of Operational Research. 315:454-469

Schlagwörter: 0209 industrial biotechnology, Approximate dynamic programming, 0211 other engineering and technologies, Project scheduling, 02 engineering and technology, Dynamic resource allocation, Dynamic programming, Markov decision processes

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/20.500.12573/2006
https://doi.org/10.1016/j.ejor.2023.10.046
https://hdl.handle.net/20.500.12573/2359
https://doi.org/10.1016/j.ejor.2023.10.046

Data-Driven Optimal Control via Linear Programming: Boundedness Guarantees

Autoren: Falconi, Lucia Martinelli, Andrea Lygeros, John

Quelle: IEEE Transactions on Automatic Control, 70 (3)

Schlagwörter: data-driven control, linear programming (LP), Approximate dynamic programming (ADP), optimal control

Zugangs-URL: http://hdl.handle.net/20.500.11850/727261

Shortening Emergency Medical Response Time with Joint Operations of Uncrewed Aerial Vehicles with Ambulances

Autoren: Xiaoquan Gao Nan Kong Paul Griffin

Quelle: Manufacturing & Service Operations Management. 26:447-464

Schlagwörter: dispatching, 05 social sciences, 0211 other engineering and technologies, uncrewed aerial vehicles, 02 engineering and technology, simulation, 3. Good health, Health and Medical Administration, large-scale MDP, 0502 economics and business, Operations and Supply Chain Management, approximate dynamic programming

Empirical dynamic programming for model‐free ecosystem‐based management

Autoren: Stephan B. Munch Antoine Brias

Quelle: Methods in Ecology and Evolution, Vol 15, Iss 4, Pp 769-778 (2024)

Schlagwörter: ecosystem management, 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, nonlinear methods, Ecology, Evolution, QH359-425, temporal difference learning, approximate dynamic programming, Gaussian process regression, time‐delay embedding, QH540-549.5

Zugangs-URL: https://doaj.org/article/c30d58d554064deb9e459f7b38b4994e

Balancing resources for dynamic vehicle routing with stochastic customer requests

Autoren: Soeffker, Ninja Ulmer, Marlin W. Mattfeld, Dirk C.

Quelle: OR Spectrum. 46:331-373

Schlagwörter: 101015 Operations Research, ddc:650, 101015 Operations research, Approximate dynamic programming, 0502 economics and business, 05 social sciences, 0211 other engineering and technologies, Same-day service, 02 engineering and technology, Value function approximation, Dynamic vehicle routing

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/10419/313828

Low-Carbon Economic Dispatch of Integrated Energy System Considering Expanding Carbon Emission Flows

Autoren: Lixia Wang Haodong Zhao Dawei Wang et al.

Quelle: IEEE Access, Vol 12, Pp 104755-104769 (2024)

Schlagwörter: Low-carbon economic dispatch, 13. Climate action, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, CCS-P2G synergistic operation, electricity-carbon ratio, 7. Clean energy, carbon emission flow, parallel multidimensional approximate dynamic programming, TK1-9971

Zugangs-URL: https://doaj.org/article/a18277144e6949f4828aaf5c163470e3

An Approximate Dynamic Programming Approach to Repeated Games with Vector Losses

Autoren: Kamble, Vijay Loiseau, Patrick Walrand, Jean et al.

Weitere Verfasser: Kamble, Vijay Loiseau, Patrick Walrand, Jean et al.

Quelle: Operations Research. 72:373-388

Schlagwörter: Approximate Dynamic Programming, Online learning, 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], Vector Repeated Games, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences

Dateibeschreibung: application/pdf

Autonomous Flight Strategy Selection and Interval Maintenance for Aircraft With Unknown Flight Intentions

Autoren: Yang Zhou Xinmin Tang Xuanming Ren

Quelle: IEEE Access, Vol 12, Pp 136979-136994 (2024)

Schlagwörter: Unknown flight intentions, optimal decision sequence, n-step approximate dynamic programming, Electrical engineering. Electronics. Nuclear engineering, Markov decision processes, TK1-9971

Zugangs-URL: https://doaj.org/article/c3b174ae43e64e939cec37d8a70d1b36

A non-iterative distributed approximate dynamic programming algorithm for frequency security-constrained stochastic economic dispatch

Autoren: Xiangyong Feng Shunjiang Lin Yutao Liang et al.

Quelle: International Journal of Electrical Power & Energy Systems, Vol 166, Iss , Pp 110543- (2025)

Schlagwörter: Offshore wind farm, Frequency security constraint, Stochastic economic dispatch, Approximate dynamic programming algorithm, Non-iterative distributed algorithm, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0142061525000948; https://doaj.org/toc/0142-0615

Zugangs-URL: https://doaj.org/article/fe9e8beefe5b4b3c8cbb04f9f72f25d5

Dynamic Stochastic Electric Vehicle Routing with Safe Reinforcement Learning

Autoren: Basso, Rafael Kulcsár, Balázs Adam Sanchez-Diaz, Ivan et al.

Quelle: EL FORT - El Flottor Optimering i Real-Tid EL FORT - Optimering av elfordonsflotta i Real-Tid - (Fas 2) Transportation Research Part E: Logistics and Transportation Review. 157(157)

Schlagwörter: Reinforcement Learning, Approximate Dynamic Programming, Energy Consumption, Electric Vehicles, Vehicle Routing, Green Logistics

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/527406
https://research.chalmers.se/publication/526222
https://research.chalmers.se/publication/527406/file/527406_Fulltext.pdf

Solving large-scale dynamic vehicle routing problems with stochastic requests

Autoren: Jian Zhang Kelin Luo Alexandre M. Florio et al.

Quelle: European Journal of Operational Research. 306:596-614

Schlagwörter: 90B06, Transportation, logistics and supply chain management, column generation, Markov and semi-Markov decision processes, Approximate dynamic programming, Column generation, 0211 other engineering and technologies, 02 engineering and technology, Dynamic programming, Markov decision processes, Stochastic requests, routing, Optimization and Control (math.OC), FOS: Mathematics, approximate dynamic programming, Mathematics - Optimization and Control, Routing, stochastic requests

Dateibeschreibung: application/xml

Zugangs-URL: http://arxiv.org/abs/2202.12983
https://zbmath.org/7705414
https://doi.org/10.1016/j.ejor.2022.07.015

Production Planning of Cascaded Hydropower Stations using Approximate Dynamic Programming

Autoren: Marcial, Alexander Perninge, Magnus

Quelle: IFAC-PapersOnLine. :10069-10076

Schlagwörter: Analysis and control in deregulated power systems, Approximate dynamic programming, Hydropower production planning, Neural networks, Electrotechnology, Elektroteknik alt Electrical engineering

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-129978
https://doi.org/10.1016/j.ifacol.2023.10.876

Math‐based reinforcement learning for the adaptive budgeted influence maximization problem

Autoren: Fadda, Edoardo Corso, Evelina Di Brusco, Davide et al.

Quelle: Networks. 83:547-569

Schlagwörter: adaptive budgeted influence maximization problem, approximate dynamic programming, graph neural networks, mixed integer linear problem, reinforcement learning, two-stage stochastic problem, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Dateibeschreibung: application/pdf

Fourier–Hermite Dynamic Programming for Optimal Control

Autoren: Hassan, Syeda Sakira Sarkka Simo et al.

Weitere Verfasser: Hassan, Syeda Sakira Sarkka Simo et al.

Quelle: IEEE Transactions on Automatic Control. 68:6377-6384

Schlagwörter: ta113, 0209 industrial biotechnology, ta213, Systems and Control (eess.SY), 02 engineering and technology, sigma-point dynamic programming, Dynamic programming, Electrical Engineering and Systems Science - Systems and Control, Costs, Optimal control, 0203 mechanical engineering, Optimization and Control (math.OC), differential dynamic programming, Taylor series, FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Heuristic algorithms, Jacobian matrices, approximate dynamic programming, Convergence, trajectory optimization, Mathematics - Optimization and Control, Fourier–Hermite series

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2202.13453
http://juuli.fi/Record/0668157723
https://doi.org/10.1109/TAC.2023.3234236
https://aaltodoc.aalto.fi/handle/123456789/124362