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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 describe

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

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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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machine-learning-based system identification of dynamical systems under control: application towards the modelpredictive 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 ofThe quality of the system model is critical to controller performance and should adequately describepredictive 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 control

Keywords： nonlinear model predictive control black-box modeling continuous-time system identification machine

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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 predictiveMore 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 predictive

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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: environment, a control strategy based on fuzzy prediction of the reference trajectory in the impedance modelof 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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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 orderThe T - S fuzzy model of controlled process was obtained using the least squares method, then basingon the fuzzy T - S global linear predictive model, the process was controlled by the predictive functionalFinally, 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.

Keywords： identification NARMA model neural network predictive control

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Design and evaluation of a novel biopsy needle with hemostatic function

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0738-7

Abstract: A predictive model for puncture force and tip deflection based on coupled Eulerian–Lagrangian (CEL) methodThe CEL model accurately predicts the peak of puncture force and produces close estimation of the insertion

Keywords： cancer diagnosis biopsy needle hemostatic function predictive model coupled Eulerian−Lagrangian

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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 structurestheir discrete models are served as controlled plant for recursive least square (RLS) based adaptive predictiveOn 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.

Keywords： cruise missile adaptive control model based predictive control robustness

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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: To compensate for the network delay and counteract its impact on the teleoperation system, a predictiveTo 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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Predictive model to decouple the contributions of friction and plastic deformation to machined surface

Subhash ANURAG, Yuebin GUO,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3, Pages 247-255 doi: 10.1007/s11465-010-0097-7

Abstract: This study provides a finite element method based on a predictive model to decouple the contributions

Keywords： surface temperature friction residual stress finite element analysis (FEA) dry cutting tool property

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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 predictiveIterative 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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A Predictive Instrument for Sensitive and Expedited Measurement of Ultra-Barrier Permeation Article

Jianfeng Wanyan, Kun Cao, Zhiping Chen, Yun Li, Chenxi Liu, Runqing Wu, Xiao-Dong Zhang, Rong Chen

Engineering 2021, Volume 7, Issue 10, Pages 1461-1470 doi: 10.1016/j.eng.2021.02.017

Abstract: permeation through an ultra-barrier with extremely high sensitivity and a greatly reduced test period, a predictivePredictive permeation models were developed and evaluated using experimental data so that the steady-state

Keywords： Water vapor permeation Ultra-barrier Predictive model Quadrupole mass spectrometer

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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: Wind power (WP) is considered as one of the main renewable energy sources (RESs) for future low-carbon and high-cost-efficient power system. However, its low inertia characteristic may threaten the system frequency stability of the power system with a high penetration of WP generation. Thus, the capability of WP participating in the system frequency regulation has become a research hotspot. In this paper, the impact of WP on power system frequency stability is initially presented. In addition, various existing control strategies of WP participating in frequency regulation are reviewed from the wind turbine (WT) level to the wind farm (WF) level, and their performances are compared in terms of operating principles and practical applications. The pros and cons of each control strategy are also discussed. Moreover, the WP combing with energy storage system (ESS) for system frequency regulation is explored. Furthermore, the prospects, future challenges, and solutions of WP participating in power system frequency regulation are summarized.

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

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The CatMath: an online predictive platform for thermal + electrocatalysis

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 12, Pages 2156-2160 doi: 10.1007/s11705-023-2371-3

Abstract: All the model generation and analysis processes are realized by cloud computing via a user-friendly interface

Keywords： CatMath catalysis volcano activity plots Surface Pourbaix Diagrams online platform

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Title Author Date Type Operation

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

Journal Article

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

Journal Article

machine-learning-based system identification of dynamical systems under control: application towards the modelpredictive 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

Predictive Functional Control Based on Fuzzy Model for HVAC Systems

Lu Hongli,Jia Lei,Wang Lei,Gao Rui

Journal Article

Identification of Time-delay Systems and Correction of NARMA Model

Wng Dongqing