Results 111 to 120 of about 13,265,536 (249)

Bounded parameter Markov decision processes with average reward criterion

, 2007
. Bounded parameter Markov Decision Processes (BMDPs) address the issue of dealing with uncertainty in the parameters of a Markov Decision Process (MDP).
Tewari, Ambuj, Ambuj Tewari, Bartlett, Peter L., Peter L. Bartlett   +3 more
core   +1 more source

Delay Optimization Algorithm in Wireless Sensor Networks Combining WPT and MEC

Shuju Caiji Yu Chuli
Wireless sensor network （WSN） is constrained by limited battery energy and insufficient computing power， and the limited battery life hinders its widespread deployment. In this paper， wireless power transmission （WPT） and multi‑access edge computing （MEC）
ZHANG Jian, LIU Pengbo, TANG Jian
doaj   +1 more source

Time‐Variant Seismic Fragility of Reinforced Concrete Bridge Piers Considering Degradation Phenomena

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Aging and environmental exposure progressively deteriorate the physical and mechanical properties of construction materials, thereby affecting the safety and functionality of existing infrastructure. Corrosion of steel rebars in reinforced concrete structures is widely acknowledged as the most common and detrimental degradation phenomenon, as ...
Paolo Andrea Miglietta, Gianni Blasi, Daniele Perrone, Francesco Micelli, Maria Antonietta Aiello   +4 more
wiley   +1 more source

First passage of a Markov additive process and generalized Jordan chains [PDF]

In this paper we consider the first passage process of a spectrally negative Markov additive process (MAP). The law of this process is uniquely characterized by a certain matrix function, which plays a crucial role in fluctuation theory.
Michel Mandjes, Offer Kella,, Bernardo D'Auria, Jevgenijs Ivanovs   +3 more
core  

Coordinated Active Power-Frequency Control Based on Safe Deep Reinforcement Learning

Shanghai Jiaotong Daxue xuebao
The continuous increase in renewables penetration poses a severe challenge to the frequency control of interconnected power grid. Since the conventional automatic generation control (AGC) strategy does not consider the power flow constraints of the ...
ZHOU Yi, ZHOU Liangcai, SHI Di, ZHAO Xiaoying, SHAN Xin
doaj   +1 more source

Smart Parking Systems: A Review of Optimization Techniques and Technological Advances

Energy Science &Engineering, EarlyView.
This review highlights optimization techniques and recent technological advances in smart parking systems, emphasizing their role in enhancing efficiency, reducing congestion, and improving user experience. It provides insights into innovative approaches that shape the future of sustainable and intelligent urban mobility. ABSTRACT In heavily populated,
Amirhossein Khosravi Sarvenoee, Mohammad Kohzadipour, Majid Valizadeh, Mohammad Saeedi Kia, Milad Karimian, Mohammad Sharifirad   +5 more
wiley   +1 more source

OCMDP: Observation-Constrained Markov Decision Process

In many practical applications, decision-making processes must balance the costs of acquiring information with the benefits it provides. Traditional control systems often assume full observability, an unrealistic assumption when observations are ...
Wu, Yu, Wu, Zhihao, Wang, Taiyi, Liu, Jianheng, Lee, Bryan   +4 more
core   +2 more sources

Ambiguity‐Aware Receding‐Horizon Optimization of Wind‐Hybrid Energy Storage Systems Using Type‐3 Fuzzy Modeling for Multimarket Participation

Energy Science &Engineering, EarlyView.
A Type‐3 fuzzy ambiguity encoder converts rolling wind, price, reserve‐activation, and confidence features into central estimates and nested uncertainty bounds. These parameters are updated within a receding‐horizon MILP/MIQP that coordinates wind, battery, and supercapacitor capacity across day‐ahead and ancillary‐service markets.
Shurong Yan, Manwen Tian, Didar Yedilkhan, Nurkhat Zhakiyev, Aigul Adamova, Ardashir Mohammadzadeh   +5 more
wiley   +1 more source

Maintenance strategy optimization using a continuous-state partially observable semi-Markov decision process

, 2011
Due to the limitation of current condition monitoring technologies, the estimates of asset health states may contain some uncertainties. A maintenance strategy ignoring this uncertainty of asset health state can cause additional costs or downtime.
Wolff, Rodney C., Yifan Zhou, Mathew, Joseph, Rodney Wolff, Sun, Yong, Yong Sun, Ma, Lin, Lin Ma, Joseph Mathew, Zhou, Yifan   +9 more
core   +1 more source

Constraints Driven Safe Reinforcement Learning for Autonomous Driving Decision-Making

IEEE Access
Although reinforcement learning (RL) methodologies exhibit potential in addressing decision-making and planning problems in autonomous driving, ensuring the safety of the vehicle under all circumstances remains a formidable challenge in practical ...
Fei Gao, Xiaodong Wang, Yuze Fan, Zhenhai Gao, Rui Zhao   +4 more
doaj   +1 more source