Results 11 to 20 of about 98,133 (220)

Study and multi-objective optimization of integrating an energetic solar thermal application, a supercritical process, and a high-temperature electrolyser

open access: yesCase Studies in Thermal Engineering, 2022
Supercritical processes using carbon dioxide reached suitable sustainability in previous research. Hence, the current paper proposes and examines a recompression supercritical carbon dioxide Brayton cycle integrated with a solar power tower.
Yan Cao   +8 more
doaj   +1 more source

Large-scale coherent Ising machine based on optoelectronic parametric oscillator

open access: yesLight: Science & Applications, 2022
Ising machines based on analog systems have the potential to accelerate the solution of ubiquitous combinatorial optimization problems. Although some artificial spins to support large-scale Ising machines have been reported, e.g., superconducting qubits ...
Qizhuang Cen   +10 more
doaj   +1 more source

Analysis and Optimization of a Microgripper Driven by Linear Ultrasonic Motors

open access: yesMicromachines, 2022
This paper presents the vibration response analysis and optimal structural design of a microgripper driven by linear ultrasonic motors (LUMs) dedicated to improving end-point positioning accuracy.
Ranran Geng   +4 more
doaj   +1 more source

Stability Assessment of the Slopes of an Oceanside Coral Limestone Quarry under Drawdown Condition of Semidiurnal Ocean Tides

open access: yesMining, 2022
Vipingo quarry in Kilifi county, Kenya, is one of the quarries supplying coral limestone for limestone manufacturing in the coastal region. Due to its close proximity to the Indian ocean, the semidiurnal ocean tides tend to have an influence on the ...
Joan Atieno Onyango   +4 more
doaj   +1 more source

Modeling and Robust Optimization of the Technological Mode of Electrotechnological Complexes with the Renewable Energy Systems of Heat [PDF]

open access: yesE3S Web of Conferences, 2020
The article works out the structure of the relationship between the managerial levels of the food enterprise, which is developed taking in-to account the use of robust control systems in the abnormal mode and systems of repair of heat power.
Zaiets Natalia   +4 more
doaj   +1 more source

Reinforcement Learning Based on Real-Time Iteration NMPC [PDF]

open access: yes, 2020
Reinforcement Learning (RL) has proven a stunning ability to learn optimal policies from data without any prior knowledge on the process. The main drawback of RL is that it is typically very difficult to guarantee stability and safety. On the other hand,
Gros, Sébastien   +2 more
core   +2 more sources

Transient Stability Performance of Power Systems with High Share of Wind Generators Equipped with Power-Angle Modulation Controllers or Fast Local Voltage Controllers

open access: yesEnergies, 2020
The decommissioning of synchronous generators, and their replacement by decoupled renewable power plants, has a significant impact on the transient stability performance of a power system.
Arcadio Perilla   +5 more
doaj   +1 more source

Design of a novel robust adaptive neural network‐based fractional‐order proportional‐integrated‐derivative controller on DC/DC Boost converter

open access: yesThe Journal of Engineering, 2023
DC/ DC Boost converter has a right half‐plane zero structure called a non‐minimum phase system, which presents several challenging constraints for designing well‐behaved control techniques.
Mohammad Abdollahzadeh   +3 more
doaj   +1 more source

An Easily Understandable Grey Wolf Optimizer and Its Application to Fuzzy Controller Tuning

open access: yesAlgorithms, 2017
This paper proposes an easily understandable Grey Wolf Optimizer (GWO) applied to the optimal tuning of the parameters of Takagi-Sugeno proportional-integral fuzzy controllers (T-S PI-FCs). GWO is employed for solving optimization problems focused on the
Radu-Emil Precup   +4 more
doaj   +1 more source

Sensitivity-based multistep MPC for embedded systems [PDF]

open access: yes, 2015
In model predictive control (MPC), an optimization problem is solved every sampling instant to determine an optimal control for a physical system. We aim to accelerate this procedure for fast systems applications and address the challenge of implementing
Kerrigan, EC, Palma, V, Suardi, A
core   +1 more source

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