Results 41 to 50 of about 826,819 (165)
IET Smart Grid, 2020 This study quantifies the benefits of implementing model predictive control on residential solar PV and energy storage systems considering a time-of-use demand tariff, feed-in tariff and varying PV system sizes and battery life-cycle costs.
Brendan Banfield +4 more
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2025 European Control Conference (ECC)In this paper, we establish a connection between model predictive control (MPC) techniques and Control Barrier Functions (CBFs). Recognizing the similarity between CBFs and Control Lyapunov Functions (CLFs), we propose a MPC formulation that ensures invariance and safety without relying on explicit stability conditions.
Huang, J +3 more
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A FRACTIONAL MODEL PREDICTIVE CONTROL DESIGN FOR 2-D GANTRY CRANE SYSTEM [PDF]
Journal of Engineering Science and Technology, 2018 Fractional calculus has been a research focus since the last four decades to control the dynamical systems. Advances in fractional calculus such as Fractional Model Predictive Control had shown that system dynamics could be controlled even more ...
ABHAYA P. SINGH, H. AGRAWAL
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Zhongguo dianli, 2019 Facing the challenges of the controls in the selective catalytic reduction (SCR) flue gas denitration system of thermal power units, such as long duration of time delay, high inertia and strong nonlinearities, typical PID regulator-based ammonia spraying
Xin XUN +3 more
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Economic Model Predictive Control with Zone Tracking
Mathematics, 2018 In this work, we propose a framework for economic model predictive control (EMPC) with zone tracking. A zone tracking stage cost is incorporated into the existing EMPC framework to form a multi-objective optimization problem.
Su Liu, Jinfeng Liu
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Changes in Predictive Task Switching with Age and with Cognitive Load
Frontiers in Aging Neuroscience, 2017 Predictive control of movement is more efficient than feedback-based control, and is an important skill in everyday life. We tested whether the ability to predictively control movements of the upper arm is affected by age and by cognitive load.
Shelly Levy-Tzedek, Shelly Levy-Tzedek
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The Journal of Engineering, 2019 This paper proposes a probabilistic power pinch analysis (PoPA) approach based on Monte–Carlo simulation (MCS) for energy management of hybrid energy systems uncertainty.
Nyong-Bassey Bassey Etim +7 more
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Nominal Model-Predictive Control [PDF]
, 2013 Model Predictive Control is a controller design method which synthesizes a sampled data feedback controller from the iterative solution of open loop optimal control problems.We describe the basic functionality of MPC controllers, their properties regarding feasibility, stability and performance and the assumptions needed in order to rigorously ensure ...
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IEEE Access, 2018 The typical control strategy for wind energy conversion systems (WECS) is the maximum power coefficient tracking method. However, this method limits the participation of wind turbines in power quality improvement in the network.
Lea Riachy +3 more
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Robust model predictive control with zone control
IET Control Theory & Applications, 2009 Model predictive control (MPC) is usually implemented as a control strategy where the system outputs are controlled within specified zones, instead of fixed set points. One strategy to implement the zone control is by means of the selection of different weights for the output error in the control cost function.
González, Alejandro Hernán +2 more
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