Search Results - Hybrid model predictive control-approximate dynamic programming

Repositioning in shared mobility systems: Combining model predictive control and approximate dynamic programming

Authors: Vinks, Ties (author) Dabiri, A. (mentor) Schulte, F. (graduation committee) et al.

Contributors: Vinks, Ties (author) Dabiri, A. (mentor) Schulte, F. (graduation committee) et al.

Subject Terms: Ride-hailing, mobility-on-demand, Approximate Dynamic Programming, Model predictive control

Availability: http://resolver.tudelft.nl/uuid:4773eef2-9e4f-4761-a63d-e5e118bc8413

Multi-Stage Real-Time Operation of a Multi-Energy Microgrid With Electrical and Thermal Energy Storage Assets: A Data-Driven MPC-ADP Approach.

Authors: Li, Zhengmao Wu, Lei Xu, Yan et al.

Source: IEEE Transactions on Smart Grid; Jan2022, Vol. 13 Issue 1, p213-226, 14p

Disturbance Observer-Based Model Predictive Control for an Unmanned Underwater Vehicle.

Authors: Hu, Yang Li, Boyang Jiang, Bailun et al.

Source: Journal of Marine Science & Engineering; Jan2024, Vol. 12 Issue 1, p94, 30p

Subject Terms: PREDICTION models, REMOTE submersibles, AUTONOMOUS underwater vehicles, DYNAMIC models, NOISE measurement, DYNAMICAL systems, BACK propagation

Deep Neural Network-based Approximation of Nonlinear Model Predictive Control: Applications to Truck-trailer Control System.

Authors: Park, Suyong Nguyen, Duc Giap Jin, Yongsik et al.

Source: International Journal of Control, Automation & Systems; Feb2025, Vol. 23 Issue 2, p510-519, 10p

A Review of Dynamic Modeling Approaches and Their Application in Computational Strain Optimization for Metabolic Engineering.

Authors: Kim, Osvaldo D. Rocha, Miguel Maia, Paulo

Source: Frontiers in Microbiology; 7/31/2018, pN.PAG-N.PAG, 22p

Subject Terms: METABOLIC regulation, PHENOTYPES, DYNAMIC models

Design and implementation of a universal converter for microgrid applications using approximate dynamic programming and artificial neural networks.

Authors: Suresh, K. Parimalasundar, E. Kumar, B. Hemanth et al.

Source: Scientific Reports; 9/8/2024, Vol. 14 Issue 1, p1-17, 17p

Subject Terms: ARTIFICIAL neural networks, DYNAMIC programming, DC-AC converters, DC-to-DC converters, RENEWABLE energy sources

Deep Transfer Learning for Approximate Model Predictive Control.

Authors: Munoz, Samuel Arce Park, Junho Stewart, Cristina M. et al.

Source: Processes; Jan2023, Vol. 11 Issue 1, p197, 16p

Subject Terms: DEEP learning, PREDICTION models, MACHINE learning, INSTRUCTIONAL systems

Event-triggered trajectory-tracking guidance for reusable launch vehicle based on neural adaptive dynamic programming.

Authors: Wang, Xueyun Quan, Zhiyuan Li, Yifan et al.

Source: Neural Computing & Applications; Nov2022, Vol. 34 Issue 21, p18725-18740, 16p

Subject Terms: DYNAMIC programming, PROPORTIONAL navigation, LAUNCH vehicles (Astronautics), ITERATIVE learning control, ONLINE education, DATA transmission systems

Driving-Style-Oriented Adaptive Equivalent Consumption Minimization Strategies for HEVs.

Authors: Yang, Sen Wang, Wenshuo Zhang, Fengqi et al.

Source: IEEE Transactions on Vehicular Technology; Oct2018, Vol. 67 Issue 10, p9249-9261, 13p

Subject Terms: HYBRID electric vehicles, ENERGY management, DYNAMIC programming, TORQUE, ELECTRIC batteries

Real-Time Footprint Planning and Model Predictive Control Based Method for Stable Biped Walking.

Authors: Wang, Song Piao, Songhao Leng, Xiaokun et al.

Source: Computational Intelligence & Neuroscience; 4/1/2022, p1-10, 10p

Subject Terms: PREDICTION models, DIGITAL footprint, CENTER of mass, TIME perspective, WALKING

Accelerated Point-Wise Maximum Approach to Approximate Dynamic Programming.

Authors: Beuchat, Paul Nathaniel Warrington, Joseph Lygeros, John

Source: IEEE Transactions on Automatic Control; Jan2022, Vol. 67 Issue 1, p251-266, 16p

Subject Terms: DYNAMIC programming, PULSE width modulation, FAMILY values, LINEAR programming

Leader-Based Optimal Coordination Control for the Consensus Problem of Multiagent Differential Games via Fuzzy Adaptive Dynamic Programming.

Authors: Zhang, Huaguang Zhang, Jilie Yang, Guang-Hong et al.

Source: IEEE Transactions on Fuzzy Systems; Feb2015, Vol. 23 Issue 1, p152-163, 12p

Subject Terms: OPTIMAL control theory, MULTIAGENT systems, DIFFERENTIAL games, DYNAMIC programming, FUZZY algorithms, ERROR analysis in mathematics

Benchmarking a Scalable Approximate Dynamic Programming Algorithm for Stochastic Control of Grid-Level Energy Storage.

Authors: Salas, Daniel F. Powell, Warren B.

Source: INFORMS Journal on Computing; Winter2018, Vol. 30 Issue 1, p106-123, 18p

Stochastic home energy management system via approximate dynamic programming.

Authors: Liu, Xuebo Wu, Hongyu Wang, Li et al.

Source: IET Energy Systems Integration; Dec2020, Vol. 2 Issue 4, p382-392, 11p

Insect pest control, approximate dynamic programming, and the management of the evolution of resistance.

Authors: Hackett, Sean C. Bonsall, Michael B.

Source: Ecological Applications; Mar2019, Vol. 29 Issue 2, pN.PAG-N.PAG, 1p

Subject Terms: INSECT pest control, DYNAMIC programming, PLANT resistance to insects, TRANSGENIC insects, ENVIRONMENTAL law

Observer-Based Adaptive Synchronization Control of Unknown Discrete-Time Nonlinear Heterogeneous Systems.

Authors: Fu, Hao Chen, Xin Wang, Wei et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Feb2022, Vol. 33 Issue 2, p681-693, 13p

Subject Terms: ADAPTIVE control systems, NONLINEAR systems, REINFORCEMENT learning, MULTIAGENT systems, DISTRIBUTED algorithms, ARTIFICIAL neural networks

ABSTRACTS (BY NUMBER): These are the abstracts as submitted through the website. Last minute changes, title and presenting changes are not always reflected in this file.

Source: Tissue Engineering Part A: Tissue Engineering; 2022 Supplement, Vol. 28 Issue 1, pS-1-S-654, 654p

DSP Implementation of a Neural Network Vector Controller for IPM Motor Drives.

Authors: Sun, Yang Li, Shuhui Ramezani, Malek et al.

Source: Energies (19961073); 7/1/2019, Vol. 12 Issue 13, p2558, 1p, 10 Diagrams, 1 Chart, 1 Graph

Subject Terms: DIGITAL signal processing, PULSE width modulation, DYNAMIC programming, PERMANENT magnets, DENDRITIC cells, MOTORS

Geographic Terms: TEXAS

Machine Learning for Enhancing Metaheuristics in Global Optimization: A Comprehensive Review.

Authors: Bolufé-Röhler, Antonio Tamayo-Vera, Dania

Source: Mathematics (2227-7390); Sep2025, Vol. 13 Issue 18, p2909, 37p

Subject Terms: MACHINE learning, METAHEURISTIC algorithms, ARTIFICIAL intelligence, SIMULATION methods & models, GLOBAL optimization, MATHEMATICAL optimization

Dynamic optimization of boiler for minimizing energy consumption in the intentionally transient process operation: effect of different interval number.

Authors: Rohman, Fakhrony Sholahudin Wan Alwi, Sharifah Rafidah Azmi, Ashraf et al.

Source: Chemical Product & Process Modeling; Oct2024, Vol. 19 Issue 5, p775-793, 19p

Subject Terms: COLLOCATION methods, HOT water, RELIABILITY in engineering, COLLOCATION (Linguistics), MANUFACTURING processes