Search Results - "Dogru, Oguzhan"

Actor–Critic Reinforcement Learning and Application in Developing Computer-Vision-Based Interface Tracking by Dogru, Oguzhan, Velswamy, Kirubakaran, Huang, Biao

“…This paper synchronizes control theory with computer vision by formalizing object tracking as a sequential decision-making process. A reinforcement learning…”
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Reinforcement Learning in Process Industries: Review and Perspective by Dogru, Oguzhan, Xie, Junyao, Prakash, Om, Chiplunkar, Ranjith, Soesanto, Jansen, Chen, Hongtian, Velswamy, Kirubakaran, Ibrahim, Fadi, Huang, Biao

“…This survey paper provides a review and perspective on intermediate and advanced reinforcement learning (RL) techniques in process industries. It offers a…”
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Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning by Chen, Hongtian, Chai, Zheng, Dogru, Oguzhan, Jiang, Bin, Huang, Biao

“…With the aid of neural networks, this article develops two data-driven designs of fault detection (FD) for dynamic systems. The first neural network is…”
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Reinforcement Learning With Constrained Uncertain Reward Function Through Particle Filtering by Dogru, Oguzhan, Chiplunkar, Ranjith, Huang, Biao

“…Advancements in computational sciences have stimulated the use of an abundant amount of data in control and monitoring. Recent studies have reemphasized that…”
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Skew Filtering for Online State Estimation and Control by Dogru, Oguzhan, Chiplunkar, Ranjith, Huang, Biao

“…Process control can become challenging when the measurements are affected by irregular noise. Classical approaches utilize Gaussian methods to alleviate the…”
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Online reinforcement learning for a continuous space system with experimental validation by Dogru, Oguzhan, Wieczorek, Nathan, Velswamy, Kirubakaran, Ibrahim, Fadi, Huang, Biao

“…Reinforcement learning (RL) for continuous state/action space systems has remained a challenge for nonlinear multivariate dynamical systems even at a…”
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Reinforcement learning for soft sensor design through autonomous cross-domain data selection by Xie, Junyao, Dogru, Oguzhan, Huang, Biao, Godwaldt, Chris, Willms, Brett

“…Data-driven soft sensors have been extensively applied in the process industry for quality variable estimation. It is challenging to build reliable soft…”
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Reinforcement learning approach to autonomous PID tuning by Dogru, Oguzhan, Velswamy, Kirubakaran, Ibrahim, Fadi, Wu, Yuqi, Sundaramoorthy, Arun Senthil, Huang, Biao, Xu, Shu, Nixon, Mark, Bell, Noel

“…•Reinforcement Learning for autonomous PID tuning.•Constrained learning for safe operation, improved safety by weight coefficient adjustment.•Simulated and…”
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Distributed Process Monitoring for Multiagent Systems Through Cognitive Learning by Chen, Hongtian, Dogru, Oguzhan, Varanasi, Santhosh Kumar, Yin, Xunyuan, Huang, Biao

“…Multiagent systems are usually large-scaled with a growing degree of intelligence and integration. Direct applications of traditional (centralized) methods…”
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Distributed Process Monitoring for Multi-Agent Systems Through Cognitive Learning by Chen, Hongtian, Dogru, Oguzhan, Varanasi, Santhosh Kumar, Yin, Xunyuan, Huang, Biao

“…Multi-agent systems are usually large-scaled with a growing degree of intelligence and integration. Direct applications of traditional (centralized) methods…”
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Performance Evaluation of Few-shot Learning-based System Identification by Chen, Hongtian, Cheng, Chao, Dogru, Oguzhan, Huang, Biao

“…This paper proposes a performance evaluation method for few-shot learning-based system identification. The basic idea behind the proposed approach is to use…”
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A Segmental Autoencoder-based Fault Detection for Nonlinear Dynamic Systems: An Interpretable Learning Framework by Chen, Hongtian, Pan, Zhuofu, Dogru, Oguzhan, Wang, Yalin, Huang, Biao

“…This paper presents a segmental autoencoder-based fault detection (FD) framework for nonlinear dynamic systems. The basic idea behind the proposed FD scheme is…”
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Reinforcement Learning Approach to Autonomous PID Tuning by Dogru, Oguzhan, Velswamy, Kirubakaran, Ibrahim, Fadi, Wu, Yuqi, Sundaramoorthy, Arun Senthil, Huang, Biao, Xu, Shu, Nixon, Mark, Bell, Noel

“…Many industrial processes utilize proportional-integral-derivative (PID) controllers due to their practicality and often satisfactory performance. The proper…”
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