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Unintended nutrient imbalance induced by wastewater effluent inputs to receiving water and its ecological

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 11, doi: 10.1007/s11783-022-1584-x

Abstract: To date, most efforts to control eutrophication have focused on reductions of external nutrient inputs

Keywords： Nutrient stoichiometry     Wastewater treatment     Ecosystem functioning     Water quality management    

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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 influences of unknown parameters of the environment on the contact force are analyzed based on experimentaltrajectory in the impedance model is predicted exactly and rapidly in the cases that the contact surface is unknown, the contact stiffness changes, and the fuzzy force control algorithm has high adaptability to the unknown

Keywords： predictive     tracking     corresponding     stiffness     algorithm    

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Discrete-event stochastic systems with correlated inputs: Modeling and performance evaluation

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 214-220 doi: 10.1007/s42524-022-0192-6

Abstract: Furthermore, the performance measures of the systems with correlated inputs can be significantly differentfrom those with independent inputs.and possible future research topics in the study of discrete-event stochastic systems with correlated inputs

Keywords： discrete-event stochastic system     correlated input     performance evaluation    

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Stability and agility: biped running over varied and unknown terrain

Yang YI,Zhi-yun LIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4,   Pages 283-292 doi: 10.1631/FITEE.1400284

Abstract: We tackle the problem of a biped running over varied and unknown terrain.Then to ensure a small state jump at touchdown on the unknown terrain, the velocity of the swing foot

Keywords： Underactuated running biped     Dynamic balance     Varied and unknown terrain    

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A robot fuzzy motion planning approach in unknown environments

FU Yi-li, JIN Bao, LI Han, WANG Shu-guo

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 336-340 doi: 10.1007/s11465-006-0033-z

Abstract: A fuzzy robot motion planning approach is proposed in unknown environments for three-degree industrial

Keywords： manipulator     repelling influence     manipulator configuration     three-degree industrial     simulation    

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ApproximateGaussian conjugacy: parametric recursive filtering under nonlinearity,multimodality, uncertainty, and constraint, and beyond Review

Tian-cheng LI, Jin-ya SU, Wei LIU, Juan M. CORCHADO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12,   Pages 1913-1939 doi: 10.1631/FITEE.1700379

Abstract: arising from nonlinearity, multimodality (including target maneuver), intractable uncertainties (such as unknowninputs and/or non-Gaussian noises) and constraints (including circular quantities), etc., new theoriesobservation, multimodal systems including Gaussian mixture posterior and maneuvers, and intractable unknowninputs and constraints, to fill some gaps in existing reviews and surveys.

Keywords： estimation     Bayesian filtering     Nonlinear filtering     Constrained filtering     Gaussian mixture     Maneuver     Unknowninputs    

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Modelling the dynamic response of a solid oxide steam electrolyser to transient inputs during renewable

Qiong CAI, Nigel P. BRANDON, Claire S. ADJIMAN,

Frontiers in Energy 2010, Volume 4, Issue 2,   Pages 211-222 doi: 10.1007/s11708-010-0037-6

Abstract: Hydrogen is regarded as a leading candidate for alternative future fuels. Solid oxide electrolyser cells (SOEC) may provide a cost-effective and green route to hydrogen production especially when coupled to a source of renewable electrical energy. Developing an understanding of the response of the SOEC stack to transient events that may occur during its operation with intermittent electricity input is essential before the realisation of this technology. In this paper, a one-dimensional (1D) dynamic model of a planar SOEC stack has been employed to study the dynamic behaviour of such an SOEC and the prospect for stack temperature control through variation of the air flow rate. Step changes in the average current density from 1.0 to 0.75, 0.5 and 0.2 A/cm have been imposed on the stacks, replicating the situation in which changes in the supply of input electrical energy are experienced, or the sudden switch-off of the stack. Such simulations have been performed both for open-loop and closed-loop cases. The stack temperature and cell voltage are decreased by step changes in the average current density. Without temperature control via variation of the air flow rate, a sudden fall of the temperature and the cell potential occurs during all the step changes in average current density. The temperature excursions between the initial and final steady states are observed to be reduced by the manipulation of the air flow rate. Provided that the change in the average current density does not result in a transition from exothermic to endothermic operation of the SOEC, the use of the air flow rate to maintain a constant steady-state temperature is found to be successful.

Keywords： hydrogen production     renewable energy     solid oxide electrolyser cell     1D dynamic model     dynamic behaviour     temperature control    

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The problems about the theory of “Known for unknown”

Zhu Xun

Strategic Study of CAE 2015, Volume 17, Issue 2,   Pages 35-39

Abstract:

“Known for unknown” is an important guiding ideology and prospecting method in mineral“Known for unknown” discuss relative to the prospecting for new working target，mainly inspace layout and the difference between the point and the surface and the unknown regions and known oredeposits，and put forward prospecting method to analysis of development theory in “Known for unknownAnd then promote and determine “Known for unknown” theory in ore prospecting work in practical

Keywords： Known for unknown； theory； prospecting； method； practice    

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High-order moment methods for LRFD including random variables with unknown probability distributions

Zhao-Hui LU, Yan-Gang ZHAO, Zhi-Wu YU

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 3,   Pages 288-295 doi: 10.1007/s11709-013-0210-1

Abstract: However, in reality, the probability distributions of some of the basic random variables are often unknownIn this paper, the high-order moment methods for LRFD including random variables with unknown probabilityfactors can be determined even when the probability distributions of the basic random variables are unknown

Keywords： high-order moment methods     applicable range     load and resistance factors     target mean resistance    

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New decentralized control technique based on substructure and LQG approaches

Ying LEI, Ying LIN,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 386-392 doi: 10.1007/s11465-009-0041-x

Abstract: local controller with interaction forces at substructural interfaces, which are considered as “unknownexternal inputs” to the substructure concerned.An algorithm of recursive least squares estimation for the unknown excitation is proposed.

Keywords： substructures     decentralized control     linear quadratic Gaussian (LQG)     Kalman filter     unknown input     least-squares    

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Characterization of chlorine and heavy metals for the potential recycling of bottom ash from municipal solid waste incinerators as cement additives

Boran WU, Dongyang WANG, Xiaoli CHAI, Fumitake TAKAHASHI, Takayuki SHIMAOKA

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 4, doi: 10.1007/s11783-016-0847-9

Abstract: Industrial waste mixed with MSW is the main source of heavy metal in bottom ash. Chlorine content in bottom ash is controlled both by plastic and kitchen waste. Insoluble chlorine in Chinese MSWI bottom ash exists primarily as AlOCl. Bottom ash is an inevitable by-product from municipal solid waste (MSW) incineration plants. Recycling it as additives for cement production is a promising disposal method. However, the heavy metals and chlorine are the main limiting factors because of the potential environmental risks and corrosion of cement kilns. Therefore, investigating heavy metal and chlorine characteristics of bottom ash is the significant prerequisite of its reuse in cement industries. In this study, a correlative analysis was conducted to evaluate the effect of the MSW components and collection mode on the heavy metal and chlorine characteristics in bottom ash. The chemical speciation of insoluble chlorine was also investigated by synchrotron X-ray diffraction analysis. The results showed that industrial waste was the main source of heavy metals, especially Cr and Pb, in bottom ash. The higher contents of plastics and kitchen waste lead to the higher chlorine level (0.6 wt.%–0.7 wt.%) of the bottom ash. The insoluble chlorine in the MSW incineration bottom ash existed primarily as AlOCl, which was produced under the high temperature (1250℃) in incinerators.

Keywords： Bottom ash     Chlorine     Heavy metals     Waste inputs     Synchrotron X-ray diffraction     AlOCl    

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Convergence of time-varying networks and its applications Research Articles

Qingling Wang,qlwang@seu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000160

Abstract: In this study, we present the convergence of . Then, we apply the convergence property to cooperative control of nonlinear multiagent systems (MASs) with (UCDs), and illustrate a new kind of based control algorithms. It is proven that if the are cut-balance, the convergence of nonlinear MASs with nonidentical UCDs is achieved using the presented algorithms. A critical feature of this application is that the designed algorithms can deal with nonidentical UCDs by employing conventional s. Finally, one simulation example is given to illustrate the effectiveness of the presented algorithms.

Keywords： Time-varying networks     Unknown control directions     Nussbaum-type function     Cut-balance condition    

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Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 527-544 doi: 10.1007/s11708-023-0880-x

Abstract: Intelligent power systems can improve operational efficiency by installing a large number of sensors. Data-based methods of supervised learning have gained popularity because of available Big Data and computing resources. However, the common paradigm of the loss function in supervised learning requires large amounts of labeled data and cannot process unlabeled data. The scarcity of fault data and a large amount of normal data in practical use pose great challenges to fault detection algorithms. Moreover, sensor data faults in power systems are dynamically changing and pose another challenge. Therefore, a fault detection method based on self-supervised feature learning was proposed to address the above two challenges. First, self-supervised learning was employed to extract features under various working conditions only using large amounts of normal data. The self-supervised representation learning uses a sequence-based Triplet Loss. The extracted features of large amounts of normal data are then fed into a unary classifier. The proposed method is validated on exhaust gas temperatures (EGTs) of a real-world 9F gas turbine with sudden, progressive, and hybrid faults. A comprehensive comparison study was also conducted with various feature extractors and unary classifiers. The results show that the proposed method can achieve a relatively high recall for all kinds of typical faults. The model can detect progressive faults very quickly and achieve improved results for comparison without feature extractors in terms of F1 score.

Keywords： fault detection     unary classification     self-supervised representation learning     multivariate nonlinear time series    

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Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems

Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu,gray_sun@zju.edu.cn,tinydreams@126.com,dwjcom@zju.edu.cn,lugd@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2,   Pages 141-286 doi: 10.1631/FITEE.1900610

Abstract: indirect adaptive fuzzy-regulated optimal control scheme for continuous-time nonlinear systems with unknown

Keywords： Hamilton-Jacobi-Bellman equation     Fuzzy-regulated critic     Adaptive optimal control actor     Actor-critic structure     Unknown    

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Decentralized Searching of Multiple Unknown and Transient Radio Sources with Paired Robots Article

Chang-Young Kim, Dezhen Song, Jingang Yi, Xinyu Wu

Engineering 2015, Volume 1, Issue 1,   Pages 58-65 doi: 10.15302/J-ENG-2015010

Abstract: this paper, we develop a decentralized algorithm to coordinate a group of mobile robots to search for unknown

Keywords： wireless localization     networked robots     transient targets    

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Title Author Date Type Operation

Unintended nutrient imbalance induced by wastewater effluent inputs to receiving water and its ecological

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

Discrete-event stochastic systems with correlated inputs: Modeling and performance evaluation

Journal Article

Stability and agility: biped running over varied and unknown terrain

Yang YI,Zhi-yun LIN

Journal Article

A robot fuzzy motion planning approach in unknown environments

FU Yi-li, JIN Bao, LI Han, WANG Shu-guo

Journal Article

ApproximateGaussian conjugacy: parametric recursive filtering under nonlinearity,multimodality, uncertainty, and constraint, and beyond

Tian-cheng LI, Jin-ya SU, Wei LIU, Juan M. CORCHADO

Journal Article

Modelling the dynamic response of a solid oxide steam electrolyser to transient inputs during renewable

Qiong CAI, Nigel P. BRANDON, Claire S. ADJIMAN,

Journal Article

The problems about the theory of “Known for unknown”

Zhu Xun

Journal Article

High-order moment methods for LRFD including random variables with unknown probability distributions

Zhao-Hui LU, Yan-Gang ZHAO, Zhi-Wu YU

Journal Article

New decentralized control technique based on substructure and LQG approaches

Ying LEI, Ying LIN,

Journal Article

Characterization of chlorine and heavy metals for the potential recycling of bottom ash from municipal solid waste incinerators as cement additives

Boran WU, Dongyang WANG, Xiaoli CHAI, Fumitake TAKAHASHI, Takayuki SHIMAOKA

Journal Article

Convergence of time-varying networks and its applications

Qingling Wang,qlwang@seu.edu.cn

Journal Article

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Journal Article

Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems

Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu,gray_sun@zju.edu.cn,tinydreams@126.com,dwjcom@zju.edu.cn,lugd@zju.edu.cn

Journal Article

Decentralized Searching of Multiple Unknown and Transient Radio Sources with Paired Robots

Chang-Young Kim, Dezhen Song, Jingang Yi, Xinyu Wu

Journal Article