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Feedforward control for nitrogen removal in a pilot-scale anaerobic-anoxic-oxic plant for municipal wastewater

Tonggang SHEN, Hanchang SHI, Huiming SHI, He JING, Huilei XIONG

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 1,   Pages 130-139 doi: 10.1007/s11783-010-0266-2

Abstract: To improve the efficiency of nitrogen removal with lower energy consumption, the study of feedforwardcontrol was carried out on a pilot-scale anaerobic-anoxic-oxic (AAO) plant for the treatment of municipalThe effluent qualities of the pilot plant under different control strategies were investigated.Simple feedforward control strategies for aeration and internal recycle were subsequently proposed and

Keywords： anaerobic-anoxic-oxic (AAO)     feedforward control     municipal wastewater     nitrogen removal    

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Constant temperature control of tundish induction heating power supply for metallurgical manufacturing

Yufei YUE, Qianming XU, Peng GUO, An LUO

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 16-26 doi: 10.1007/s11708-018-0572-0

Abstract: Specially, the constant temperature control is greatly significant for metallurgical manufacturing.of the relationship between TIH load temperature and output power of TIHPS, the constant temperature controlcan be realized by power control.Besides, an input harmonic current blocking strategy and a load voltage feedforward control are alsoproposed to realize constant temperature control.

Keywords： tundish induction heating power supply (TIHPS)     constant temperature control     input harmonic current blocking     load voltage feedforward    

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Research on the control systems of a precision linear motor drive device

YAN Han, WANG Xian-kui, DUAN Guang-hong

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 260-264 doi: 10.1007/s11465-006-0036-9

Abstract: of the system, its third-order model is established, and disturbance-observer based input revising feedforwardderivative (PID) control algorithm is proposed.This includes feedback control algorithm and feedforward control algorithm.controller improves system tracking performance and suppresses load and mechanical disturbance while the feedforwardcontroller compensates phase hysteresis introduced by feedback control.

Keywords： feedforward     tracking     ±5     anti-disturbance performance     algorithm    

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Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: This article intends to model the multiscale constitution using feedforward neural network (FNN) and

Keywords： multiscale method     constitutive model     feedforward neural network     recurrent neural network    

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Fault-Tolerant Control of a CPG-Governed Robotic Fish Article

Yueqi Yang, Jian Wang, Zhengxing Wu, Junzhi Yu

Engineering 2018, Volume 4, Issue 6,   Pages 861-868 doi: 10.1016/j.eng.2018.09.011

Abstract: This paper explores the fault-tolerance control problem of a free-swimming robotic fish with multipleThe created control system is composed of two main components: a feedback controller and a feedforwardfeedback controller is designed to make the robotic fish robust to external disturbances, while the feedforwardcompensator speeds up the convergence of the overall control system.Simulations are performed for control system analysis and performance validation of the faulty robotic

Keywords： Fault-tolerant control     Robotic fish     Motion control     Feedback controller     Feedforward compensator    

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High-accuracy target tracking for multistatic passive radar based on a deep feedforward neural network Research Article

Baoxiong XU, Jianxin YI, Feng CHENG, Ziping GONG, Xianrong WAN,jessiexu@whu.edu.cn,jxyi@whu.edu.cn,cwing@whu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 8,   Pages 1214-1230 doi: 10.1631/FITEE.2200260

Abstract: In radar systems, errors are mainly from motion models and nonlinear measurements. When we evaluate a tracking algorithm, its is the main criterion. To improve the , in this paper we formulate the tracking problem into a regression model from measurements to target states. A tracking algorithm based on a modified (MDFNN) is then proposed. In MDFNN, a is introduced to describe the temporal sequence relationship of the input measurement sequence, and the optimal measurement sequence size is analyzed. Simulations and field experimental data of the show that the accuracy of the proposed algorithm is better than those of extended Kalman filter (EKF), unscented Kalman filter (UKF), and recurrent neural network (RNN) based tracking methods under the considered scenarios.

Keywords： Deep feedforward neural network     Filter layer     Passive radar     Target tracking     Tracking accuracy    

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Development of a Novel Feedforward Neural Network Model Based on Controllable Parameters for Predicting Article

Zihao Zhao, Zihao Wang, Jialuo Yuan, Jun Ma, Zheling He, Yilan Xu, Xiaojia Shen, Liang Zhu

Engineering 2021, Volume 7, Issue 2,   Pages 195-202 doi: 10.1016/j.eng.2020.07.027

Abstract: To achieve better prediction and control of effluent TN concentration, an efficient prediction model,improve the model controllability, and ② the model prediction accuracy is improved on the basis of a feedforwardmodel could provide an accurate prediction of effluent TN based on influent water parameters and key control

Keywords： Feedforward neural network (FFNN)     Algorithms     Controllable operation parameters     Sequencing batch reactor    

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Engram-Driven Videography Article

Lu Fang, Mengqi Ji, Xiaoyun Yuan, Jing He, Jianing Zhang, Yinheng Zhu, Tian Zheng, Leyao Liu, Bin Wang, Qionghai Dai

Engineering 2023, Volume 25, Issue 6,   Pages 101-109 doi: 10.1016/j.eng.2021.12.012

Abstract: Moreover, they strictly follow the feedforward pathway: that is, their pixel-level sensing is independentDifferently, a human visual system owns superiority with both feedforward and feedback pathways: Thefeedforward pathway extracts object representation (referred to as memory engram) from visual inputs,

Keywords： Instance-level videography     Memory engram     Large-scale dynamic scene     Feedforward and feedback     Entropy    

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WHEAT STRIPE RUST AND INTEGRATION OF SUSTAINABLE CONTROL STRATEGIES IN CHINA

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 1,   Pages 37-51 doi: 10.15302/J-FASE-2021405

Abstract: Growing resistant cultivars is the best strategy to control this disease but the pathogen can overcomeCurrent stripe rust control measures are based on many years of research including the underlying epidemiologystripe rust include negative regulatory gene editing, resistance gene overexpression and biological control

Keywords： sustainable disease control / integrated control Puccinia striiformis / Triticum aestivum    

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A systematic review of current and emergent manipulator control approaches

Syed Ali AJWAD,Jamshed IQBAL,Muhammad Imran ULLAH,Adeel MEHMOOD

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 198-210 doi: 10.1007/s11465-015-0335-0

Abstract: productivity and accuracy in today’s robotic applications have highlighted an urge to replace classical controlstrategies with their modern control counterparts.Highlighting the authors’ research achievements in the domain of manipulator design and control, this paper presents a systematic and comprehensive review of the state-of-the-art control techniquesthree kinds of strategies, i.e., intelligent proportional-integral-derivative (PID) scheme, robust control

Keywords： robot control     robust and nonlinear control     adaptive control     intelligent control     industrial manipulators    

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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 ofnonlinear continuous-time multiple-input multiple-output system models for nonlinear model predictive controlThis procedure successfully identified system models that enabled effective control in both servo andThis demonstration of how such system models could be identified for nonlinear model predictive controlwhich, in the face of process uncertainties or modelling limitations, allow rapid and stable control

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

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Emerging contaminant control: From science to action

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 6, doi: 10.1007/s11783-022-1559-y

Abstract: characteristics and environmental risk of ECs in typical regions of China, and establishment of EC controlContinuous progress in scientific research of ECs promoted China’s action on EC control.Although great efforts have been made, the EC control in China still faces tremendous challenges.such as engineering, policy management and public participation should be combinedly adopted for EC control

Keywords： Emerging contaminants     Priority pollutants     PPCPs     POPs     Control policy    

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Model-based nonlinear control of hydraulic servo systems: Challenges, developments and perspectives

Jianyong YAO

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 179-210 doi: 10.1007/s11465-018-0464-3

Abstract: >Hydraulic servo system plays a significant role in industries, and usually acts as a core point in controlAlthough linear theory-based control methods have been well established, advanced controller design methodsEssential nonlinearity is a unique feature and makes model-based nonlinear control more attractive, dueIn this paper, a discussion for challenges in model-based nonlinear control, latest developments andto handle various challenges, nonlinear solutions including parameter adaptation, nonlinear robust control

Keywords： hydraulic servo system     adaptive control     robust control     nonlinear friction     disturbance compensation     repetitivecontrol     noise alleviation     constraint control    

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A hybrid LQR-PID control design for seismic control of buildings equipped with ATMD

Amir Hossein HEIDARI, Sadegh ETEDALI, Mohamad Reza JAVAHERI-TAFTI

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 1,   Pages 44-57 doi: 10.1007/s11709-016-0382-6

Abstract: This paper presents an efficient hybrid control approach through combining the idea of proportional-integral-derivative(PID) controller and linear quadratic regulator (LQR) control algorithm.

Keywords： seismic control     tuned mass dampers     cuckoo search     PID controller     LQR controller    

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Precision control system of two-DOF stage with linear ultrasonic motor

ZHANG Hanlei, SHI Yunlai, ZHAO Chunsheng

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4,   Pages 421-425 doi: 10.1007/s11465-008-0063-9

Abstract: Using an appropriate control method, linear ultrasonic motors can be used in applications requiring highIn this paper, a closed loop PI control system is designed to achieve high position accuracy during thecontrol of a two-DOF stage driven by linear ultrasonic motors.The PI control algorithm is used to increase the stability and accuracy of position control.Experimental results denote that the control strategy proposed in this paper appears to have high efficiency

Keywords： settling     position accuracy     PI control     control algorithm     orthogonal    

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Title Author Date Type Operation

Feedforward control for nitrogen removal in a pilot-scale anaerobic-anoxic-oxic plant for municipal wastewater

Tonggang SHEN, Hanchang SHI, Huiming SHI, He JING, Huilei XIONG

Journal Article

Constant temperature control of tundish induction heating power supply for metallurgical manufacturing

Yufei YUE, Qianming XU, Peng GUO, An LUO

Journal Article

Research on the control systems of a precision linear motor drive device

YAN Han, WANG Xian-kui, DUAN Guang-hong

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Journal Article

Fault-Tolerant Control of a CPG-Governed Robotic Fish

Yueqi Yang, Jian Wang, Zhengxing Wu, Junzhi Yu

Journal Article

High-accuracy target tracking for multistatic passive radar based on a deep feedforward neural network

Baoxiong XU, Jianxin YI, Feng CHENG, Ziping GONG, Xianrong WAN,jessiexu@whu.edu.cn,jxyi@whu.edu.cn,cwing@whu.edu.cn

Journal Article

Development of a Novel Feedforward Neural Network Model Based on Controllable Parameters for Predicting

Zihao Zhao, Zihao Wang, Jialuo Yuan, Jun Ma, Zheling He, Yilan Xu, Xiaojia Shen, Liang Zhu

Journal Article

Engram-Driven Videography

Lu Fang, Mengqi Ji, Xiaoyun Yuan, Jing He, Jianing Zhang, Yinheng Zhu, Tian Zheng, Leyao Liu, Bin Wang, Qionghai Dai

Journal Article

WHEAT STRIPE RUST AND INTEGRATION OF SUSTAINABLE CONTROL STRATEGIES IN CHINA

Journal Article

A systematic review of current and emergent manipulator control approaches

Syed Ali AJWAD,Jamshed IQBAL,Muhammad Imran ULLAH,Adeel MEHMOOD

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

Emerging contaminant control: From science to action

Journal Article

Model-based nonlinear control of hydraulic servo systems: Challenges, developments and perspectives

Jianyong YAO

Journal Article

A hybrid LQR-PID control design for seismic control of buildings equipped with ATMD

Amir Hossein HEIDARI, Sadegh ETEDALI, Mohamad Reza JAVAHERI-TAFTI

Journal Article

Precision control system of two-DOF stage with linear ultrasonic motor

ZHANG Hanlei, SHI Yunlai, ZHAO Chunsheng

Journal Article