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Consensus Control and Optimization of Time-Delayed Multiagent Systems: Analysis on Different Order-Reduction Methods

IEEE Transactions on Systems, Man, and Cybernetics: Systems
This article addresses the consensus control and optimization issue for multiagent systems (MASs) with time-varying delay. Different from existing ones, an order-reduction method (ORM) is proposed to reduce the order of linear matrix inequalities (LMIs ...
Xiaojie Peng   +3 more
semanticscholar   +1 more source

A review of algorithms for control and optimization for energy management of hybrid renewable energy systems

Journal of Renewable and Sustainable Energy, 2018
Hybrid renewable energy systems (HRESs) can alleviate the grid dependence for power in rural and distant locations. The intermittent nature of renewable energy sources acting alone does not make the system reliable; however, combining one or more sources
Barnam Jyoti Saharia   +2 more
semanticscholar   +1 more source

Time-Varying Formation H∞ Tracking Control and Optimization for Delayed Multi-Agent Systems With Exogenous Disturbances

IEEE Transactions on Automation Science and Engineering
This paper presents a novel time-varying formation (TVF) $H_{\infty }$ tracking controller for multi-agent systems (MASs) under exogenous disturbances and time-varying delays.
Xiaojie Peng   +4 more
semanticscholar   +1 more source

Toward Motion Coordination Control and Design Optimization for Dual-Arm Concentric Tube Continuum Robots

IEEE Robotics and Automation Letters, 2018
Dual-arm continuum robots have been considered mainly for teleoperation, where human perception and cognition permitted coordination, and collision-free motions.
Mohamed Taha Chikhaoui   +3 more
semanticscholar   +1 more source

The Optimal Control of a Train

Annals of Operations Research, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Reinforcement learning applied to wastewater treatment process control optimization: Approaches, challenges, and path forward

Critical reviews in environmental science and technology, 2023
Wastewater treatment process control optimization is a complex task in a highly nonlinear environment. Reinforcement learning (RL) is a machine learning technique that stands out for its ability to perform better than human operators for certain high ...
Henry C. Croll   +3 more
semanticscholar   +1 more source

On the Optimal Control of Boolean Control Networks

SIAM Journal on Control and Optimization, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qunxi Zhu   +3 more
openaire   +1 more source

Optimal Control of Logical Control Networks

IEEE Transactions on Automatic Control, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yin Zhao   +2 more
openaire   +1 more source

Analysis of the Optimal Relaxed Control to an Optimal Control Problem

Applied Mathematics and Optimization, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Antenna control and optimization

Proceedings of the IEEE, 1991
A class of radiation problems is considered where an arbitrary smooth surface on which currents may be induced is treated as an antenna. A variety of measures of antenna performance is defined in terms of functionals of the radiation pattern. These in turn give rise to a class of optimization problems in which the current distribution is sought which ...
Thomas S. Angell   +2 more
openaire   +1 more source

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