Search Results - "Robust Model Predictive Control"

Attitude tracking control for reentry vehicles using centralised robust model predictive control by Chai, Runqi, Tsourdos, Antonios, Gao, Huijun, Chai, Senchun, Xia, Yuanqing

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Distributed Robust Model Predictive Control-Based Energy Management Strategy for Islanded Multi-Microgrids Considering Uncertainty by Zhao, Zhuoli, Guo, Juntao, Luo, Xi, Lai, Chun Sing, Yang, Ping, Lai, Loi Lei, Li, Peng, Guerrero, Josep M., Shahidehpour, Mohammad

“…A microgrid is considered to be a smart power system that can integrate local renewable energy effectively. However, the intermittent nature of renewable…”
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Constrained robust model predictive control embedded with a new data-driven technique by Yang, L, Lu, J, Xu, Y, Li, D, Xi, Y

“…In the control field, the adaptive model predictive control (AMPC) has the capability of taking effective control actions on unknown-but-bounded…”
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Safe Reinforcement Learning Using Robust MPC by Zanon, Mario, Gros, Sebastien

“…Reinforcement learning (RL) has recently impressed the world with stunning results in various applications. While the potential of RL is now well established,…”
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Dual-Loop Tube-Based Robust Model Predictive Attitude Tracking Control for Spacecraft With System Constraints and Additive Disturbances by Chai, Runqi, Tsourdos, Antonios, Gao, Huijun, Xia, Yuanqing, Chai, Senchun

“…In this article, the problem of optimal time-varying attitude tracking control for rigid spacecraft with system constraints and unknown additive disturbances…”
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Robust MPC-based microgrid scheduling for resilience enhancement of distribution system by Cai, Sheng, Xie, Yunyun, Wu, Qiuwei, Xiang, Zhengrong

“…•A RMPC-based MG scheduling method is proposed.•The MGs formation model and scheduling model is optimized simultaneously.•The nonlinear model is linearized and…”
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Robust model predictive control for constrained linear system based on a sliding mode disturbance observer by Zhang, Yao, Edwards, Christopher, Belmont, Michael, Li, Guang

“…For perturbed continuous-time systems, this paper proposes a robust model predictive control (RMPC) strategy for the regulation problem, exploiting a sliding…”
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Robust model predictive control with polytopic model uncertainty through System Level Synthesis by Chen, Shaoru, Preciado, Victor M., Morari, Manfred, Matni, Nikolai

“…We propose a robust model predictive control (MPC) method for discrete-time linear systems with polytopic model uncertainty and additive disturbances…”
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Smart greenhouse control under harsh climate conditions based on data-driven robust model predictive control with principal component analysis and kernel density estimation by Chen, Wei-Han, You, Fengqi

“…Efficient greenhouse climate control under harsh climate conditions at locations such as Qatar is a challenge because of the high temperature and high relative…”
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Model-Predictive-Control-Based Path Tracking Controller of Autonomous Vehicle Considering Parametric Uncertainties and Velocity-Varying by Cheng, Shuo, Li, Liang, Chen, Xiang, Wu, Jian, Wang, Hong-da

“…The automated steering control technology is crucial for an autonomous vehicle, but due to parametric uncertainties and time varying, the performance of…”
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A data-driven robust optimization approach to scenario-based stochastic model predictive control by Shang, Chao, You, Fengqi

“…•A novel data-driven approach is proposed for stochastic model predictive control.•Support vector clustering is adopted to learn an uncertainty set from…”
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Path Tracking and Direct Yaw Moment Coordinated Control Based on Robust MPC With the Finite Time Horizon for Autonomous Independent-Drive Vehicles by Peng, Haonan, Wang, Weida, An, Quan, Xiang, Changle, Li, Liang

“…It is a striking fact that the characteristics of parametric uncertainties, external disturbance, time-varying and nonlinearities are available in the…”
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Heterogeneously parameterized tube model predictive control for LPV systems by Hanema, Jurre, Lazar, Mircea, Tóth, Roland

“…This paper presents a heterogeneously parameterized tube-based model predictive control (MPC) design applicable to linear parameter-varying (LPV) systems. In a…”
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Longitudinal-vertical integrated cooperative control of distributed drive electric vehicle considering optimization of energy economy and comfort by Jia, Yuan, Liu, Yonggang, Zhang, Yuanjian, Chen, Zheng, Zhang, Yi

“…The interdependent mechanisms among energy economy, longitudinal-vertical dynamics, and torque distribution coordination in distributed-drive electric vehicles…”
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Robust MPC with data-driven demand forecasting for frequency regulation with heat pumps by Bünning, Felix, Warrington, Joseph, Heer, Philipp, Smith, Roy S., Lygeros, John

“…With the increased amount of volatile renewable energy sources connected to the electricity grid, and the phase-out of fossil fuel based power plants, there is…”
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Robust MPC-based bidding strategy for wind storage systems in real-time energy and regulation markets by Xie, Yunyun, Guo, Weiqing, Wu, Qiuwei, Wang, Ke

“…•A RMPC based Bidding Strategy optimization model is proposed.•The storage system is employed to make arbitrages.•The RMPC-based nonlinear model is transformed…”
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Semiclosed Greenhouse Climate Control Under Uncertainty via Machine Learning and Data-Driven Robust Model Predictive Control by Chen, Wei-Han, You, Fengqi

“…This work proposes a novel data-driven robust model predictive control (DDRMPC) framework for automatic control of greenhouse in-door climate. The framework…”
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Robust MPC under event-triggered mechanism and Round-Robin protocol: An average dwell-time approach by Zhu, Kaiqun, Song, Yan, Ding, Derui, Wei, Guoliang, Liu, Hongjian

“…This paper is concerned with the problem of robust model predictive control (MPC) for a class of systems with polytopic uncertainties. First, the…”
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Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment by Mahmood, Farhat, Govindan, Rajesh, Bermak, Amine, Yang, David, Al-Ansari, Tareq

“…•An analytical and data-driven model is developed to analyse the greenhouse.•Data-driven artificial neural network is used as the prediction model.•An RMPC…”
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Robust MPC-based trajectory tracking of autonomous underwater vehicles with model uncertainty by Yan, Zheping, Yan, Jinyu, Cai, Sijia, Yu, Yuyang, Wu, Yifan

“…A robust model predictive control (MPC) method with dual closed-loops is presented to handle trajectory tracking of autonomous underwater vehicle (AUV) with…”
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