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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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Distributed game strategy for unmanned aerial vehicle formation with external disturbances and obstacles Research Article

Yang YUAN, Yimin DENG, Sida LUO, Haibin DUAN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7, Pages 1020-1031 doi: 10.1631/FITEE.2100559

Abstract: Third, we establish a distributed MPC framework where each UAV exchanges messages only with its neighborsNumerical simulations are conducted, and the efficiency of LFPIO based distributed MPC is verified through

Keywords： Distributed game strategy Unmanned aerial vehicle (UAV) Distributed model predictive control (MPC)

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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 describeSideslip, rollover, and vehicle envelopes are used as multiple constraints in the MPC controller formulationreal experiments are carried out to evaluate the feasibility and the effectiveness of the extended MPC

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

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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-boundedMoreover, the traditional thermal dynamic model of electric water heater is transformed into an intervalFurthermore, 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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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 controlcontrol over wider operating ranges.

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

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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.is first formulated and solved to obtain a reduction model.Then, a two-layered control framework including real-time optimization (RTO) and model predictive control(MPC) is designed.

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

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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 corresponding force control results are compared and analyzed.of the environment on the contact force are analyzed based on experimental data, and the tunings of predictiveThe experimental results show that the desired trajectory in the impedance model is predicted exactly

Keywords： predictive tracking corresponding stiffness algorithm

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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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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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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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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 currentIterative calculations of the cost function in traditional predictive control are also removed, which

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

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Cluster voltage control method for “Whole County” distributed photovoltaics based on improved differential

Frontiers in Energy Pages 782-795 doi: 10.1007/s11708-023-0905-8

Abstract: China is vigorously promoting the “whole county promotion” of distributed photovoltaics (DPVs).The traditional centralized control method of the distribution network has the problem of low efficiencyTo address the problems, this paper proposes a cluster voltage control method for distributed photovoltaicThen, in each cluster, based on the control strategy of “reactive power compensation first, active powerlater,” it employs an improved differential evolution (IDE) algorithm based on Cauchy disturbance to control

Keywords： distributed photovoltaics (DPVs) cluster partitioning improved differential evolution algorithm voltagecontrol consumption capacity of distributed photovoltaics

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Analysis of the current situation of environmental policy of China and establishment of distributed environmental

Chaoyang FU,Wangfeng LI

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 2, Pages 310-316 doi: 10.1007/s11783-014-0658-9

Abstract: effect of contemporary China’s typical environmental policy of the total pollutant discharge quantity controlBy introduction of distributed management tools into the implementation of environmental policies, market-oriented

Keywords： environmental policy distributed environment policy distributed parameter model lumped parameter model

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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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Title Author Date Type Operation

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

Journal Article

Distributed game strategy for unmanned aerial vehicle formation with external disturbances and obstacles

Yang YUAN, Yimin DENG, Sida LUO, Haibin DUAN

Journal Article

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

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

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

Ke Wei, Keke Huang, Chunhua Yang, Weihua Gui

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

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