Results 11 to 20 of about 9,722 (217)

Constrained Markov Decision Process Modeling for Sequential Optimization of Additive Manufacturing Build Quality

IEEE Access, 2018
Additive manufacturing (AM) provides a greater level of flexibility to produce a 3-D part with complex geometries directly from the design. However, the widespread application of AM is currently hampered by technical challenges in process repeatability ...
Bing Yao, Hui Yang
doaj   +1 more source

Security Constrained Dispatch for Renewable Proliferated Distribution Network Based on Safe Reinforcement Learning

Frontiers in Energy Research, 2022
As the terminal of electricity consumption, the distribution network is a vital field to lower the carbon emission of the power system. With the integration of distributed energy resources, the flexibility of the distribution network has been promoted ...
Han Cui, Han Cui, Yujian Ye, Yujian Ye, Qidong Tian, Yi Tang, Yi Tang   +6 more
doaj   +1 more source

Balancing Long Lifetime and Satisfying Fairness in WBAN Using a Constrained Markov Decision Process

International Journal of Antennas and Propagation, 2015
As an important part of the Internet of Things (IOT) and the special case of device-to-device (D2D) communication, wireless body area network (WBAN) gradually becomes the focus of attention.
Yingqi Yin, Fengye Hu, Ling Cen, Yu Du, Lu Wang   +4 more
doaj   +1 more source

Deep Reinforcement Learning-Based UAV Path Planning Algorithm in Agricultural Time-Constrained Data Collection

Advances in Electrical and Computer Engineering, 2023
In the Agricultural Internet of Things (AgIoT), Unmanned Aerial Vehicles (UAVs) can be used to collect sensor data. Thus, UAVs must plan the appropriate data collection paths so that sensors can collect the data under different positions and generate ...
CAI, M., FAN, S., XIAO, G., HU, K.
doaj   +1 more source

Safe Reinforcement Learning for Arm Manipulation with Constrained Markov Decision Process

Robotics
In the world of human–robot coexistence, ensuring safe interactions is crucial. Traditional logic-based methods often lack the intuition required for robots, particularly in complex environments where these methods fail to account for all possible ...
Patrick Adjei, Norman Tasfi, Santiago Gomez-Rosero, Miriam A. M. Capretz   +3 more
doaj   +1 more source

A UoI-Optimal Policy for Timely Status Updates with Resource Constraint

Entropy, 2021
Timely status updates are critical in remote control systems such as autonomous driving and the industrial Internet of Things, where timeliness requirements are usually context dependent.
Lehan Wang, Jingzhou Sun, Yuxuan Sun, Sheng Zhou, Zhisheng Niu   +4 more
doaj   +1 more source

Data-Driven Volt/VAR Optimization for Modern Distribution Networks: A Review

IEEE Access
The Volt/Var optimization (VVO) enables advanced control strategy development for voltage regulation. With the recent advancement of data-driven approaches and communication infrastructure, realtime decision-making through VVO can effectively address ...
Sarah Allahmoradi, Shahabodin Afrasiabi, Xiaodong Liang, Junbo Zhao, Mohammad Shahidehpour   +4 more
doaj   +1 more source

Emergency Load-Shedding Decision for Frequency Stability of New Energy Power System Based on Constrained Markov Decision Process

Energies
Renewable energy systems dominated by powered electronic devices generally exhibit weak disturbance tolerance and limited grid-support capability. Following the blocking of a flexible DC transmission system, emergency load shedding in renewable-rich grid
Qiushi Fang, Zhentao Han, Wenhui He, Yufei Jin, Zewei Li, Mingxuan Lu, Weihan Chen, Jiawen Gao, Rui Zhang   +8 more
doaj   +1 more source

Reliability-guaranteed multipath allocation algorithm in mobile network

ETRI Journal, 2022
The mobile network allows redundant transmission via disjoint paths to support high-reliability communication (e.g., ultrareliable and low-latency communications [URLLC]).
Jaewook Lee, Haneul Ko
doaj   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source