Robust control under parametric uncertainty: An overview and recent results
SP Bhattacharyya - Annual Reviews in Control, 2017 - Elsevier
Abstract Modern Robust Control has had two distinct lines of development:(a) Robustness
through quadratic optimization and (b) Robustness under parametric uncertainty. The first …
through quadratic optimization and (b) Robustness under parametric uncertainty. The first …
Deep learning based semi-supervised control for vertical security of maglev vehicle with guaranteed bounded airgap
Y Sun, J Xu, H Wu, G Lin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The vertical security problem of maglev train is challenging for nonlinearity, external
disturbances, unmeasurable airgap velocity and constrained output. To solve this problem, a …
disturbances, unmeasurable airgap velocity and constrained output. To solve this problem, a …
Cyber–physical systems: A perspective at the centennial
KD Kim, PR Kumar - Proceedings of the IEEE, 2012 - ieeexplore.ieee.org
Cyber-physical systems (CPSs) are the next generation of engineered systems in which
computing, communication, and control technologies are tightly integrated. Research on …
computing, communication, and control technologies are tightly integrated. Research on …
Industrial automation as a cloud service
T Hegazy, M Hefeeda - IEEE Transactions on Parallel and …, 2014 - ieeexplore.ieee.org
New cloud services are being developed to support a wide variety of real-life applications. In
this paper, we introduce a new cloud service: industrial automation, which includes different …
this paper, we introduce a new cloud service: industrial automation, which includes different …
Effective statistical control strategies for complex turbulent dynamical systems
Control of complex turbulent dynamical systems involving strong nonlinearity and high
degrees of internal instability is an important topic in practice. Different from traditional …
degrees of internal instability is an important topic in practice. Different from traditional …
Stochastic Optimal Relaxed Automatic Generation Control in Non-Markov Environment Based on Multi-Step Learning
This paper proposes a stochastic optimal relaxed control methodology based on
reinforcement learning (RL) for solving the automatic generation control (AGC) under …
reinforcement learning (RL) for solving the automatic generation control (AGC) under …
[PDF][PDF] Линейные системы с обратной связью
ЕИ Веремей - СПб.: Лань, 2013 - techlibrary.ru
Данная работа посвящена рассмотрению центральных вопросов, определяю щих
современные подходы к моделированию, анализу и синтезу линейных ста ционарных …
современные подходы к моделированию, анализу и синтезу линейных ста ционарных …
Consensus Transfer -Learning for Decentralized Generation Command Dispatch Based on Virtual Generation Tribe
XS Zhang, Q Li, T Yu, B Yang - IEEE Transactions on Smart …, 2016 - ieeexplore.ieee.org
This paper develops a consensus transfer Q-learning (CTQ) for decentralized generation
command dispatch (GCD) of automatic generation control (AGC). A two-layer decentralized …
command dispatch (GCD) of automatic generation control (AGC). A two-layer decentralized …
Interval robust controller to minimize oscillations effects caused by constant power load in a DC multi-converter buck-buck system
KEL Marcillo, DAP Guingla, W Barra… - IEEE …, 2019 - ieeexplore.ieee.org
Multi-converter electronic systems are becoming widely used in many industrial
applications; therefore, the stability of the whole system is a big concern to the real-world …
applications; therefore, the stability of the whole system is a big concern to the real-world …
Resilient tracking consensus over dynamic random graphs: A linear system approach
Y Shang - European Journal of Applied Mathematics, 2023 - cambridge.org
Cooperative coordination in multi-agent systems has been a topic of interest in networked
control theory in recent years. In contrast to cooperative agents, Byzantine agents in a …
control theory in recent years. In contrast to cooperative agents, Byzantine agents in a …