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Distributed best response dynamics for Nash equilibrium seeking in potential games

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Control Theory and Technology 2020年第3期18卷 324-332页

作者： Shijie huang Peng yi Key Lab of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100190China Department of Control Science&Engineering Tongji UniversityShanghai 201804China Shanghai Institute of Intelligent Science and Technology Tongji UniversityShanghai 201804China

In this paper,we consider distributed Nash equilibrium(NE)seeking in potential games over a multi-agent network,where each agent can not observe the actions of all its *** on the best response dynamics,we design a distributed NE seeking algorithm by incorporating the non-smooth finite-time average tracking dynamics,where each agent only needs to know its own action and exchange information with its neighbours through a communication *** give a sufficient condition for the Lipschitz continuity of the best response mapping for potential games,and then prove the convergence of the proposed algorithm based on the Lyapunov *** simulations are given to verify the resultandillustrate the effectiveness of the algorithm.

关键词： Distributed algorithms Nash equilibrium seeking best response dynamics non-smooth finite-time tracking dynamics potential games

Predicting the shrinkage of thermal insulation mortar by probabilistic neural networks

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2010年第3期11卷 212-222页

作者： yi-qun DENG Pei-ming WANG Key Laboratory of Advanced Civil Engineering Materials Ministry of EducationTongji UniversityShanghai 200092China

This study explored the potential of using probabilistic neural networks (PNN) to predict shrinkage of thermal insulation *** results were obtained from the PNN model with the aid of Parzen non-parametric estimator of the probability density functions (PDF).Five variables,water-cementitious materials ratio,content of cement,fly ash,aggregate and plasticizer,were employed for input variables,while a category of 56-d shrinkage of mortar was used for the output variable.A total of 192 groups of experimental data from 64 mixtures designed using JMP7.0 software were collected,of which 120 groups of data were used for training the model and the other 72 groups of data for *** simulation results showed that the PNN model with an optimal smoothing parameter determined by the curves of the mean square error (MSE) and the number of unrecognized probability densities (UPDs) exhibited a promising capability of predicting shrinkage of mortar.

关键词： Mortar Shrinkage Probabilistic neural networks (PNN) Thermal insulation

Crack Fault Classification for Planetary Gearbox Based on Feature Selection Technique and K-means Clustering Method

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Chinese Journal of Mechanical Engineering 2018年第1期31卷 242-252页

作者： Li-ming Wang yi-Min Shao State Key Laboratory of Mechanical Transmission Chongqing University

During the condition monitoring of a planetary gearbox, features are extracted from raw data for a fault ***, different features have different sensitivity for identifying different fault types, and thus, the selection of a sensitive feature subset from an entire feature set and retaining as much of the class discriminatory information as possible has a directly effect on the accuracy of the classification results. In this paper, an improved hybrid feature selection technique(IHFST) that combines a distance evaluation technique(DET), Pearson’s correlation analysis, and an ad hoc technique is proposed. In IHFST, a temporary feature subset without irrelevant features is first selected according to the distance evaluation criterion of DET, and the Pearson’s correlation analysis and ad hoc technique are then employed to find and remove redundant features in the temporary feature subset, respectively, and hence,a sensitive feature subset without irrelevant or redundant features is selected from the entire feature set. Further, the k-means clustering method is applied to classify the different kinds of health conditions. The effectiveness of the proposed method was validated through several experiments carried out on a planetary gearbox with incipient cracks seeded in the tooth root of the sun gear, planet gear, and ring gear. The results show that the proposed method can successfully distinguish the different health conditions of a planetary gearbox, and achieves a better classification performance than other methods. This study proposes a sensitive feature subset selection method that achieves an obvious improvement in terms of the accuracy of the fault classification.

关键词： Planetary gearbox Gear crack Feature selection technique K-means classification

Quantitative analysis on the phase margin of ADRC

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Control Theory and Technology 2023年第1期21卷 4-15页

作者： Sheng Zhong yi huang Beijing Aerospace Automatic Control Institute Beijing100854China Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing100049China

The paper analyzes and compares the phase margins of four active disturbance rejection control(ADRC)designs,which are based on different common-used extended state observers(ESOs)of various orders,for second-order *** quantitative results indicate that,besides good dynamic response,ADRC can guarantee enough phase *** is also proved that by decreasing the order of ESO,the phase margin can be ***,it is demonstrated that the phase margins of the ADRC-based systems can be almost uninfluenced by the uncertainties of the system ***,the theoretical results are verified by both simulations and experiments on a motion control platform.

关键词： Uncertain system Active disturbance rejection control(ADRC) Extended state observer(ESO) Phase margin Crossover frequency

Temperature Control of Bench-Scaled Batch Reactor Equipped with a Monofluid Heating/Cooling System

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Journal of Thermal Science 2014年第2期23卷 187-195页

作者： TENG Hai-peng SONG yi-ming School of Chemical Engineering Northwest University

An advanced control concept, Predictive Functional Control （PFC）, is applied for temperature control of a bench-scaled batch reactor equipped with monofluid heating/cooling system. First principles process models are developed. Based on achieved models, significant process variables, which are difficult or impossible to measure online, are estimated from easily measured variables, and cascade PFC control strategy has been projected and implemented in Matlab RI 4. The dynamics of individual subunits is explicitly taken into consideration by internal model in the control algorithms, and model uncertainty, various process disturbances are compensated by modifi- cation of internal model. The experimental results present an excellent capability of tracking the set point, and the success of PFC technique as a process control paradigm is illustratively demonstrated.

关键词： temperature control batch reactor mono-fluid heating/cooling system

A Heuristic Approach for Context-Aware Recommendation Using Rough Set Theory

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Chinese Journal of Electronics 2018年第3期27卷 500-506页

作者： HE ming DONG Tao LIU yi College of Computer Science Beijing University of Technology

Context-aware recommender systems, aiming to further improve performance accuracy and user satisfaction by fully utilizing contextual information, have recently become one of the hottest topics in the domain of recommender systems. However, not all contextual information might be relevant or useful for recommendation purposes, and little work has been done on measuring how important the contextual information for *** propose a heuristic optimization algorithm based on rough set theory and collaborative filtering to using contextual information more efficiently for boosting recommendation. Our approach involves three processes. First, significant attributes to represent contextual information are extracted and measured to identify recommended items using rough set theory. Second, the user similarity is evaluated in a target context consideration. Third, collaborative filtering is applied to recommend appropriate *** perform an empirical comparison of three approaches on two real-world data sets. The experimental results show that the proposed approach generates more accurate predictions.

关键词： Recommendation Context Context-aware recommendation Collaborative filtering Rough set

Energy-efficient firing modes of chay neuron model in different bursting kinetics

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Science China(Technological Sciences) 2022年第8期65卷 1661-1674页

作者： LU LuLu yi ming LIU XiaoQian School of Mathematics and Physics China University of GeosciencesWuhan 430074China

The firing sequence of the neuron system that transmits information consumes a significant amount of energy, but it is unclear how the firing pattern of the neuron system determines its energy efficiency. The mode transformation and energy efficiency in different firing modes are investigated using the Chay neuron model. It has been found that when system parameters are tuned,the neurons show complex bursting kinetics. The period-n bursting state of the neuron carries high amounts of information while consuming less energy per unit of information, resulting in higher energy efficiency. In particular, the mixed discharge state,where the neuron is in several bursting states simultaneously, is more energy efficient, and appropriate electromagnetic inductioncan enhance the neuron's energy efficiency. Furthermore, there are optimal system parameters that maximize the energy efficiency of firing modes, demonstrating that the neuron carries high amounts of information while consuming less energy per unit of information. The study helps to understand the energy mechanism of neural information propagation and provides an insight into the energy efficiency characteristic of neuron systems.

关键词： energy efficiency firing modes bursting kinetics electromagnetic induction

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Chemical–biological approaches for the direct regulation of cell–cell aggregation

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Aggregate

Aggregate 2022年第2期3卷 33-49页

作者： Jia-yi Ma Ya-Xin Wang Yan huang yi Zhang Yun-Xi Cui De-ming Kong State Key Laboratory of Medicinal Chemical Biology Nankai UniversityTianjinP.R.China School of Pharmacy Binzhou Medical UniversityYantaiShandongP.R.China College of Life Sciences Nankai UniversityTianjinP.R.China Tianjin Key Laboratory of Biosensing and Molecular Recognition Research Centre for Analytical SciencesCollege of ChemistryNankai UniversityTianjinP.R.China

Cell–cell aggregation is one of the most well-known modes of intercellular *** aggregation also plays a vital role in the formation of multicellularity,thus manipulating the growth and development of *** the past decades,cell–cell aggregation-related bioprocesses and molecular mechanisms have attracted enormous interest from scientists in biology,and *** have developed a series of strategies to artificially regulate cell–cell aggregation through chemical–biological *** date,not only the chemical reagents such as coordination compounds and polymers but also the biomacromolecules such as proteins and nucleic acids,are employed as the“cell glue”to achieve the control of the cell *** it is meaningful to review the recent advances of the chemical–biological approaches in cell–cell aggregation *** this review,we discuss the mechanisms and features of recently developed strategies to control cell–cell *** introduce molecules and designs relying on chemical reactions and biological conjugations respectively,and talk about their advantages and suitable applications.A perspective on the challenges in future applications in cell manipulation and cell-based therapy is also *** expect this review could inspire innovative work on manipulating cell–cell aggregation and further modulate cell–cell interactions in the research of bio/chemical fields.

关键词： cell-cell aggregation molecular glue precise regulation

Parametric Study on the Behavior of An Innovative Subsurface Tension Leg Platform in Ultra-Deep Water

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China Ocean Engineering 2017年第5期31卷 589-597页

作者： ZHEN Xing-wei huang yi School of Naval Architecture and Ocean Engineering Dalian University of Technology

This study focuses on a new technology of Subsurface Tension Leg Platform （STLP）, which utilizes the shallow- water rated well completion equipment and technology for the development of large oil and gas fields in ultra-deep water （UDW）. Thus, the STLP concept offers attractive advantages over conventional field development concepts. STLP is basically a pre-installed Subsurface Sea-star Platform （SSP）, which supports rigid risers and shallow-water rated well completion equipment. The paper details the results of the parametric study on the behavior of STLP at a water depth of 3000 m. At first, a general description of the STLP configuration and working principle is introduced. Then, the numerical models for the global analysis of the STLP in waves and current are presented. After that, extensive parametric studies are carried out with regarding to SSP/tethers system analysis, global dynamic analysis and riser interference analysis. Critical points are addressed on the mooring pattern and riser arrangement under the influence of ocean current, to ensure that the requirements on SSP stability and riser interference are well satisfied. Finally, conclusions and discussions are made. The results indicate that STLP is a competitive well and riser solution in up to 3000 m water depth for offshore petroleum production.

关键词： subsurface tension leg platform parametric study global behavior ultra-deep water