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An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 237-250 doi: 10.1007/s11705-021-2058-6

Abstract: Advanced model-based control strategies, e.g., model predictive control, can offer superior control ofpredictive control.predictive controller for a highly nonlinear continuous stirred tank reactor system.This demonstration of how such system models could be identified for nonlinear model predictive controlprior knowledge of system dynamics opens further possibilities for direct data-driven methodologies for model-based

Keywords： nonlinear model predictive control     black-box modeling     continuous-time system identification     machinelearning     industrial applications of process control    

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Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Frontiers in Energy doi: 10.1007/s11708-023-0912-6

Abstract: In this paper, a multi-timescale optimal scheduling model is established for interconnected data centers(IDCs) based on model predictive control (MPC), including day-ahead optimization, intraday rolling optimization

Keywords： model predictive control     interconnected data center     multi-timescale     optimized scheduling     distributed    

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Extended model predictive control scheme for smooth path following of autonomous vehicles

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 4-4 doi: 10.1007/s11465-021-0660-4

Abstract: This paper presents an extended model predictive control (MPC) scheme for implementing optimal path followingof autonomous vehicles, which has multiple constraints and an integrated model of vehicle and road dynamicsRoad curvature and inclination factors are used in the construction of the vehicle dynamic model to describedifferential evolution optimization algorithm is proposed to realize optimal smooth path following based

Keywords： autonomous vehicles     vehicle dynamic modeling     model predictive control     path following     optimization    

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Fuzzy force control of constrained robot manipulators based on impedance model in an unknown environment

LIU Hongyi, WANG Fei, WANG Lei

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2,   Pages 168-174 doi: 10.1007/s11465-007-0028-4

Abstract: To precisely implement the force control of robot manipulators in an unknown environment, a control strategybased on fuzzy prediction of the reference trajectory in the impedance model is developed.The influences of unknown parameters of the environment on the contact force are analyzed based on experimentaldata, and the tunings of predictive scale factors are illustrated.The experimental results show that the desired trajectory in the impedance model is predicted exactly

Keywords： predictive     tracking     corresponding     stiffness     algorithm    

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A comprehensive review of wind power based power system frequency regulation

Frontiers in Energy 2023, Volume 17, Issue 5,   Pages 611-634 doi: 10.1007/s11708-023-0876-6

Abstract: In addition, various existing control strategies of WP participating in frequency regulation are reviewedThe pros and cons of each control strategy are also discussed.

Keywords： frequency regulation strategies     wind turbine generators     grid-forming control     model predictive control    

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High Precision Adaptive Predictive Control for Cruise Missile

Sun Mingwei,Chen Zengqiang,Yuan Zhuzhi,Ren Qiang,Yang Ming

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 23-27

Abstract: Based on analysis of the perturbation model of missile*s dynamic characteristics, series control structuresfor recursive least square (RLS) based adaptive predictive control, thus the mass center control withOn the basis of missile’s characteristics, generalized predictive control (GPC) is used in innerattitude loop, and an integral form of predictive control is adopted in outter trajectory loop.with mass center control.

Keywords： cruise missile     adaptive control     model based predictive control     robustness    

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Predictive Functional Control Based on Fuzzy Model for HVAC Systems

Lu Hongli,Jia Lei,Wang Lei,Gao Rui

Strategic Study of CAE 2006, Volume 8, Issue 9,   Pages 65-68

Abstract: A novel predictive functional control strategy based on Takagi-Sugeno fuzzy model was developed in orderon the fuzzy T - S global linear predictive model, the process was controlled by the predictive functionalcontrol strategy.Finally, the simulation results in HVAC systems control application showed that the proposed fuzzy modelpredictive functional control approach improves tracking effect and robustness.

Keywords： T-S fuzzy model     predictive functional control     least squares method     HVAC systems    

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Improved three-vector based dead-beat model predictive direct power control strategy for grid-connected None

Chen-wen CHENG, Heng NIAN, Long-qi LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1420-1431 doi: 10.1631/FITEE.1601874

Abstract:

Since only one inverter voltage vector is applied during each duty cycle, traditional model predictivedirect power control (MPDPC) for grid-connected inverters (GCIs) results in serious harmonics in currentUnlike the traditional three-vector based MPDPC strategy, the proposed three vectors are selected basedIterative calculations of the cost function in traditional predictive control are also removed, whichbased dead-beat MPDPC strategy.

Keywords： Grid-connected inverter     Model predictive control     Direct power control     Three vectors     Constant switching    

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Multi-Objective Adaptive Optimization Model Predictive Control: Decreasing Carbon Emissions from a Zinc Article

Ke Wei, Keke Huang, Chunhua Yang, Weihua Gui

Engineering 2023, Volume 27, Issue 8,   Pages 96-105 doi: 10.1016/j.eng.2023.01.017

Abstract: To address these issues, this paper proposes a multi-objective adaptive optimization model predictivecontrol (MAO-MPC) method based on sparse identification.More specifically, with a large amount of data collected from a CFD model, a sparse regression problemis first formulated and solved to obtain a reduction model.Then, a two-layered control framework including real-time optimization (RTO) and model predictive control

Keywords： Zinc oxide rotary kiln     Model reduction     Sparse identification     Real-time optimization     Model predictivecontrol     Process control    

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MPC-based interval number optimization for electric water heater scheduling in uncertain environments

Jidong WANG, Chenghao LI, Peng LI, Yanbo CHE, Yue ZHOU, Yinqi LI

Frontiers in Energy 2021, Volume 15, Issue 1,   Pages 186-200 doi: 10.1007/s11708-019-0644-9

Abstract: In this paper, interval number optimization and model predictive control are proposed to handle the uncertain-but-boundednumber model, based on which, the day-ahead load scheduling problem with uncertain parameters is formulatedFurthermore, the model predictive control which incorporates both forecasts and newly updated informationpredictive control format is robust to the uncertain hot water demand, ambient temperature, and real-timeprice of electricity, enabling customers to flexibly adjust electric water heater control strategy.

Keywords： electric water heater     load scheduling     interval number optimization     model predictive control     uncertainty    

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Frequency-domain-based Robustness Analysis for PID Generalized Predictive Control

Wang Fanzhen,Chen Zengqiang,Yao Xiangfeng,Yuan Zhuzhi

Strategic Study of CAE 2006, Volume 8, Issue 10,   Pages 66-70

Abstract:

The closed-loop feedback structure of PID generalized predictive control (PID - GPC) is proposed,used to obtain a sufficient condition for the robust stability of PID - GPC under the condition of model-plant

Keywords： predictive control     robustness     frequency domain     small-gain criterion     PID control    

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Evolutionary Decision-Making and Planning for Autonomous Driving Based on Safe and Rational Exploration

Kang Yuan,Yanjun Huang,Shuo Yang,Zewei Zhou,Yulei Wang,Dongpu Cao,Hong Chen,

Engineering doi: 10.1016/j.eng.2023.03.018

Abstract: proposes an online evolutionary decision-making and motion planning framework for autonomous driving basedon a hybrid data- and model-driven method.First, a data-driven decision-making module based on deep reinforcement learning (DRL) is developed toThen, model predictive control (MPC) is employed to execute both longitudinal and lateral motion planningExperiments with a high-fidelity vehicle model and MATLAB/Simulink co-simulation environment are conducted

Keywords： Autonomous driving     Decision-making     Motion planning     Deep reinforcement learning     Model predictive control    

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Identification of Time-delay Systems and Correction of NARMA Model

Wng Dongqing

Strategic Study of CAE 2006, Volume 8, Issue 2,   Pages 39-43

Abstract: time-delay identification scheme of nonlinear systems; meanwhile, points out the impropriety of NARMA modelThe neural networks predictive control of time-delay system is taken as an example to present the correctNARMA model correction methods.Simulation results verify that the advanced correction methods can obtain good control performance and

Keywords： identification     NARMA model     neural network     predictive control    

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Energy management for multi-microgrid system based on model predictive control None

Ke-yong HU, Wen-juan LI, Li-dong WANG, Shi-hua CAO, Fang-ming ZHU, Zhou-xiang SHOU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1340-1351 doi: 10.1631/FITEE.1601826

Abstract: algorithm used in energy management of a multi-microgrid system, an energy optimization management method basedon model predictive control is presented.The energy management model and energy optimization problem are established according to the power flowdecomposition approach is imposed to decompose the optimization problem into two parts, and a distributed predictivecontrol algorithm based on global optimization is introduced to achieve the optimal solution by iteration

Keywords： Microgrids     Energy management     Predictive control     Renewable energy     Controllable energy    

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Real-time mobile robot teleoperation via Internet based on predictive control

WANG Shihua, XU Bugong, WANG Shihua, ZHOU Yeming, LIU YunHui

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 299-306 doi: 10.1007/s11465-008-0049-7

Abstract: A remote control system that can control a mobile robot in real time via the internet is proposed.To compensate for the network delay and counteract its impact on the teleoperation system, a predictivecontrol scheme based on the modified Smith predictor proposed is selected.To ensure the stability and transparency of the system, a dynamic model manager is designed based onForce feedback and a virtual predictive display are introduced to enhance the real-time efficiency of

Keywords： predictive     feedback     virtual predictive     distance     synchronization algorithm    

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Title Author Date Type Operation

An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Journal Article

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Journal Article

Extended model predictive control scheme for smooth path following of autonomous vehicles

Journal Article

Fuzzy force control of constrained robot manipulators based on impedance model in an unknown environment

LIU Hongyi, WANG Fei, WANG Lei

Journal Article

A comprehensive review of wind power based power system frequency regulation

Journal Article

High Precision Adaptive Predictive Control for Cruise Missile

Sun Mingwei,Chen Zengqiang,Yuan Zhuzhi,Ren Qiang,Yang Ming

Journal Article

Predictive Functional Control Based on Fuzzy Model for HVAC Systems

Lu Hongli,Jia Lei,Wang Lei,Gao Rui

Journal Article

Improved three-vector based dead-beat model predictive direct power control strategy for grid-connected

Chen-wen CHENG, Heng NIAN, Long-qi LI

Journal Article

Multi-Objective Adaptive Optimization Model Predictive Control: Decreasing Carbon Emissions from a Zinc

Ke Wei, Keke Huang, Chunhua Yang, Weihua Gui

Journal Article

MPC-based interval number optimization for electric water heater scheduling in uncertain environments

Jidong WANG, Chenghao LI, Peng LI, Yanbo CHE, Yue ZHOU, Yinqi LI

Journal Article

Frequency-domain-based Robustness Analysis for PID Generalized Predictive Control

Wang Fanzhen,Chen Zengqiang,Yao Xiangfeng,Yuan Zhuzhi

Journal Article

Evolutionary Decision-Making and Planning for Autonomous Driving Based on Safe and Rational Exploration

Kang Yuan,Yanjun Huang,Shuo Yang,Zewei Zhou,Yulei Wang,Dongpu Cao,Hong Chen,

Journal Article

Identification of Time-delay Systems and Correction of NARMA Model

Wng Dongqing

Journal Article

Energy management for multi-microgrid system based on model predictive control

Ke-yong HU, Wen-juan LI, Li-dong WANG, Shi-hua CAO, Fang-ming ZHU, Zhou-xiang SHOU

Journal Article

Real-time mobile robot teleoperation via Internet based on predictive control

WANG Shihua, XU Bugong, WANG Shihua, ZHOU Yeming, LIU YunHui

Journal Article