Suchergebnisse - Modified policy-iterative algorithm*

Optimal control-limit maintenance policy for a production system with multiple process states.

Autoren: Gan, Shuyuan Yousefi, Nooshin Coit, David W.

Quelle: Computers & Industrial Engineering. Aug2021, Vol. 158, pN.PAG-N.PAG. 1p.

Schlagwörter: *MANUFACTURING processes, *MARKOV processes, *ALGORITHMS, *LEAD time (Supply chain management), SPARE parts, CONDITION-based maintenance, MAINTENANCE equipment

A Review of Unmanned Vehicle Control with Adaptive Dynamic Programming Implementations.

Autoren: Liu, Hao Yi, Xinning Liu, Deyuan et al.

Quelle: Journal of Intelligent & Robotic Systems; Mar2025, Vol. 111 Issue 1, p1-16, 16p

A Path-Planning Method Based on Improved Soft Actor-Critic Algorithm for Mobile Robots.

Autoren: Zhao, Tinglong Wang, Ming Zhao, Qianchuan et al.

Quelle: Biomimetics (2313-7673); Oct2023, Vol. 8 Issue 6, p481, 15p

Schlagwörter: REINFORCEMENT learning, DEEP reinforcement learning, MOBILE robots, MACHINE learning, POTENTIAL field method (Robotics), ALGORITHMS

Process Control in Semiconductor Manufacturing Based on Deep Distributional Soft Actor-Critic Reinforcement Learning.

Autoren: Liu, Bangxu Zhao, Dewen Lu, Xinchun et al.

Quelle: IEEE Transactions on Semiconductor Manufacturing; May2025, Vol. 38 Issue 2, p210-231, 22p

Schlagwörter: SEMICONDUCTOR manufacturing, REINFORCEMENT learning, PROCESS control systems, METROLOGY, NONLINEAR systems, ADAPTIVE control systems

Adaptive neural event‐triggered near‐optimal control for affined uncertain nonlinear discrete‐time system.

Autoren: Li, Xinyu Ding, Liang Li, Shu et al.

Quelle: Asian Journal of Control; Nov2024, Vol. 26 Issue 6, p3210-3225, 16p

Schlagwörter: HEURISTIC programming, COST functions, DYNAMIC programming, NONLINEAR systems, ALGORITHMS

Recent Advances in Multi-Agent Reinforcement Learning for Intelligent Automation and Control of Water Environment Systems.

Autoren: Jia, Lei Pei, Yan

Quelle: Machines; Jun2025, Vol. 13 Issue 6, p503, 44p

Schlagwörter: INTELLIGENT control systems, INFRASTRUCTURE (Economics), MULTIAGENT systems, ENVIRONMENTAL infrastructure, MARL, REINFORCEMENT learning

Optimal consensus control for double‐integrator multiagent systems with unknown dynamics using adaptive dynamic programming.

Autoren: Zhang, Qi Yang, Yang Song, Xue et al.

Quelle: Optimal Control - Applications & Methods; Sep2023, Vol. 44 Issue 5, p2883-2899, 17p

Schlagwörter: MULTIAGENT systems, DYNAMIC programming, SYSTEM dynamics, REINFORCEMENT learning, ALGORITHMS

Model-Free Q-Learning-Based Adaptive Optimal Control for Wheeled Mobile Robot.

Autoren: Duc, Cuong Nguyen Pham, Sen Huong Thi Vu, Nga Thi-Thuy

Quelle: Journal of Control, Automation & Electrical Systems; Feb2025, Vol. 36 Issue 1, p86-100, 15p

Schlagwörter: ZERO sum games, LYAPUNOV stability, ADAPTIVE control systems, ARTIFICIAL intelligence, STABILITY criterion, MOBILE robots

Evaluating co-design approaches with parents in paediatric healthcare: a systematic review.

Autoren: Suna, Jessica Tanti, Daniel Merlo, Gregory et al.

Quelle: BMC Health Services Research; 10/28/2025, Vol. 25 Issue 1, p1-81, 81p

Schlagwörter: PARENTS, CHILD patients, PARENT participation in education, PROBLEM solving, HEALTH outcome assessment, NARRATION, PARTICIPATORY design, PARTICIPANT observation

Digital Twin Applications in the Water Sector: A Review.

Autoren: Ghorbani Bam, Pooria Rezaei, Nader Roubanis, Alexander et al.

Quelle: Water (20734441); Oct2025, Vol. 17 Issue 20, p2957, 49p

Schlagwörter: DIGITAL twin, WATER management, REAL-time computing, PREDICTIVE control systems, RESOURCE allocation, RESOURCE management, ENVIRONMENTAL infrastructure

Integral Reinforcement Learning-Based Online Adaptive Dynamic Event-Triggered Control Design in Mixed Zero-Sum Games for Unknown Nonlinear Systems.

Autoren: Liang, Yuling Shao, Zhi Su, Hanguang et al.

Quelle: Mathematics (2227-7390); Dec2024, Vol. 12 Issue 24, p3916, 29p

Schlagwörter: ZERO sum games, MACHINE learning, DYNAMIC programming, NONLINEAR systems, LYAPUNOV stability

Causal action empowerment for efficient reinforcement learning in embodied agents.

Autoren: Cao, Hongye Feng, Fan Huo, Jing et al.

Quelle: SCIENCE CHINA Information Sciences; May2025, Vol. 68 Issue 5, p1-15, 15p

Constant Force PID Control for Robotic Manipulator Based on Fuzzy Neural Network Algorithm.

Autoren: Dachang, Zhu Baolin, Du Puchen, Zhu et al.

Quelle: Complexity; 7/17/2020, p1-11, 11p

Schlagwörter: FUZZY neural networks, MOLECULAR force constants, ALGORITHMS, PID controllers, ROBOTICS

Soft DAgger: Sample-Efficient Imitation Learning for Control of Soft Robots.

Autoren: Nazeer, Muhammad Sunny Laschi, Cecilia Falotico, Egidio

Quelle: Sensors (14248220); Oct2023, Vol. 23 Issue 19, p8278, 21p

Schlagwörter: ROBOT control systems, SOFT robotics, REINFORCEMENT learning, ONLINE education, ROBOTS, LETTER writing

H∞ optimal control for semi‐Markov jump linear systems via TP‐free temporal difference (λ) learning.

Autoren: Chen, Yaogang Wen, Jiwei Luan, Xiaoli et al.

Quelle: International Journal of Robust & Nonlinear Control; 9/25/2021, Vol. 31 Issue 14, p6905-6916, 12p

Schlagwörter: LINEAR systems, ALGORITHMS, MACHINE learning, RICCATI equation, ALGEBRAIC equations, MARKOVIAN jump linear systems, MARKOV processes

Artificial Intelligence and Immersive Technologies: Virtual Assistants in AR/VR for Special Needs Learners †.

Autoren: Mohamed, Azza Faisal, Rouhi Al-Gindy, Ahmed et al.

Quelle: Computers (2073-431X); Aug2025, Vol. 14 Issue 8, p306, 24p

Schlagwörter: ARTIFICIAL intelligence, SPECIAL education, IMMERSIVE design, EDUCATIONAL technology, VIRTUAL reality, AUGMENTED reality, INTELLIGENT personal assistants, ETHICAL problems

Improved Adaptive Practical Tracking Control for Nonlinear Systems with Nontriangular Structured Uncertain Terms.

Autoren: Liu, Liang Sun, Gang Bai, Rulan

Quelle: Actuators; Aug2025, Vol. 14 Issue 8, p367, 19p

Schlagwörter: NONLINEAR systems, UNCERTAIN systems, ADAPTIVE control systems, BACKSTEPPING control method, TRACKING control systems, STATE feedback (Feedback control systems), CONTROL theory (Engineering)

Distributed optimal consensus control for nonlinear multiagent systems based on DISOPE algorithm.

Autoren: Sun, Jinghan Li, Junmin

Quelle: Optimal Control - Applications & Methods; May/Jun2019, Vol. 40 Issue 3, p517-528, 12p

Schlagwörter: MULTIAGENT systems, NONLINEAR systems, DISTRIBUTED algorithms, PARAMETER estimation, TIME perspective, CONSENSUS (Social sciences)

Reinforcement Learning Based Optimal Tracking Control Under Unmeasurable Disturbances With Application to HVAC Systems.

Autoren: Rizvi, Syed Ali Asad Pertzborn, Amanda J. Lin, Zongli

Quelle: IEEE Transactions on Neural Networks & Learning Systems; Dec2022, Vol. 33 Issue 12, p7523-7533, 11p

Schlagwörter: REINFORCEMENT learning, STATE feedback (Feedback control systems), AIR conditioning, HEATING control, HEATING & ventilation industry, ARTIFICIAL satellite tracking

Data-Based H∞ Control for the Constrained-Input Nonlinear Systems and its Applications in Chaotic Circuit Systems.

Autoren: Ren, Ling Zhang, Guoshan Mu, Chaoxu

Quelle: IEEE Transactions on Circuits & Systems. Part I: Regular Papers; Aug2020, Vol. 67 Issue 8, p2791-2802, 12p

Schlagwörter: NONLINEAR systems, ALGORITHMS, REINFORCEMENT learning, MATHEMATICAL equivalence, HEURISTIC algorithms

Geografische Kategorien: IRELAND