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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 ofblack-box nonlinear continuous-time multiple-input multiple-output system models for nonlinear model predictivecontrol.output and manipulated variables were trained on simulated data and integrated into a nonlinear model predictiveThis 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     machinelearning     industrial applications of process control    

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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 following

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: multi-timescale optimal scheduling model is established for interconnected data centers (IDCs) based on model predictivecontrol (MPC), including day-ahead optimization, intraday rolling optimization, and intraday real-time

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

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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,

Keywords： predictive control     robustness     frequency domain     small-gain criterion     PID 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: for recursive least square (RLS) based adaptive predictive control, thus the mass center control withslow response transforms into trajectory angle control with fast response and high precision.On 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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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: piece of equipment in the zinc smelting industrial process, is presenting new challenges in process controlis no longer suitable for multi-objective control tasks.To address these issues, this paper proposes a multi-objective adaptive optimization model predictivecontrol (MAO-MPC) method based on sparse identification.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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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 strategyThe force tracking experiments are executed in an open-architecture control system with different trackingThe 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 predictivein the cases that the contact surface is unknown, the contact stiffness changes, and the fuzzy force control

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 orderto settie the difficulty to control HVAC systems.controlled process was obtained using the least squares method, then basing on the fuzzy T - S global linear predictivemodel, the process was controlled by the predictive functional control strategy.predictive 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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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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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.Force 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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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: The neural networks predictive control of time-delay system is taken as an example to present the correctSimulation 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: energy management of a multi-microgrid system, an energy optimization management method based on model predictivecontrol is presented.decomposition 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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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: The catalytic volcano activity models are the quantified and visualized tools of the Sabatier principle for heterogeneous catalysis, which can depict the intrinsic activity optima and trends of a catalytic reaction as a function of the reaction descriptors, i.e., the bonding strengths of key reaction species. These models can be derived by microkinetic modeling and/or free energy changes in combination with the scaling relations among the reaction intermediates. Herein, we introduce the CatMath—an online platform for generating a variety of common and industrially important thermal + electrocatalysis. With the CatMath, users can request the volcano models for available reactions and analyze their materials of interests as potential catalysts. Besides, the CatMath provides the function of the online generation of Surface Pourbaix Diagram for surface state analysis under electrocatalytic conditions, which is an essential step before analyzing the activity of an electrocatalytic surface. 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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A double-layered nonlinear model predictive control based control algorithm for local trajectory planning Research Articles

Hong-chao Wang, Wei-wei Zhang, Xun-cheng Wu, Hao-tian Cao, Qiao-ming Gao, Su-yun Luo,17721336541@163.com,zwwsues@163.com,longxd2714@163.com,yjs_liqing@163.com,mosxsues@163.com,ly18362885604@163.com

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 7,   Pages 963-1118 doi: 10.1631/FITEE.1900185

Abstract: We present a double-layered control algorithm to plan the local trajectory for s equipped with four hubThe main layer of the proposed control algorithm consists of a main layer (MLN-MPC) controller and aOverall, this is a closed-loop control system.simulation results show that there is lower computational cost compared with the conventional PID-based control

Keywords： Automated truck     Trajectory planning     Nonlinear model predictive control     Longitudinal slip    

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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

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

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

Wang Fanzhen,Chen Zengqiang,Yao Xiangfeng,Yuan Zhuzhi

Journal Article

High Precision Adaptive Predictive Control for Cruise Missile

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

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

A comprehensive review of wind power based power system frequency regulation

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

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

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

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

The CatMath: an online predictive platform for thermal + electrocatalysis

Journal Article

A double-layered nonlinear model predictive control based control algorithm for local trajectory planning

Hong-chao Wang, Wei-wei Zhang, Xun-cheng Wu, Hao-tian Cao, Qiao-ming Gao, Su-yun Luo,17721336541@163.com,zwwsues@163.com,longxd2714@163.com,yjs_liqing@163.com,mosxsues@163.com,ly18362885604@163.com

Journal Article