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29th International Scientific Symposium "Metrology and Metrology Assurance", MMA 2019

作者： Serov, Nikolay A. Kyaw, Nay Myo Lupachev, Alexey A. Elicheva, Elizabeth A. Bekhtin, Yuriy S. Petsinyarzh, Arkadiy R. National Research University 'Moscow Power Engineering Institute' Information and Measurement Technique Department Moscow Russia Ryazan State Radio Engineering University Automation and Information Technologies in Control Department Ryazan Russia Moscow State Technical University Named after N. Eh. Bauman Automatic Control Systems Department Moscow Russia

ISBN: (纸本)9781728122137

The time limit of the transient process (TP) in the measuring circuit (MC) is determined by known criteria. These criteria use a first-order dynamic link model. Typically, this model is a priori model for the measurement problems discussed above. In on-line mode, the interval criterion (IC) is used. There is a limitation in the form of a critical value of the time constant (TC) to apply the criterion. Previously, it was found that such a restriction exists for the MC model in the form of a dynamic link of the second order. The functional dependence of the critical value on the parameter in the form of the ratio of the second-order dynamic link TC model was found. This restriction on the use of IC develops the fact that there is such a restriction for MC with a first-order model. It is advisable to analyze the performance of the IC for the third-order MC model. These models are widely used in the simulation of measuring channels. Thus, it is possible to generalize such studies. In this study we used a model with transfer function presented in terms of the diagram Vyshnegradsky with parameters 'A' and 'B'. In this paper, the IC is analyzed for the area of the aperiodic regime of the MC. The simulation results showed that the functional dependence of the critical value on the parameters is presented as a complex surface. For the bisector of the diagram at A and B>8, the critical value is stabilized and set at the level characteristic of the first order model. Based on the information about the behavior of the critical value of the interval criterion for MC with structural uncertainty, it is possible to construct robust algorithms that implement IC. The time limit of the transient process (TP) in the measuring circuit (MC) is determined by known criteria. These criteria use a first-order dynamic coupling model. Typically, this model is apriori model for the measurement problems discussed above. © 2019 IEEE.

关键词： Transient analysis

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Artificial Intelligence without Restriction Surpassing Human Intelligence with Probability One: Theoretical Insight into Secrets of the Brain with AI Twins of the Brain

arXiv

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arXiv 2024年

作者： Huang, Guang-Bin Westover, M. Brandon Tan, Eng-King Wang, Haibo Cui, Dongshun Ma, Wei-Ying Wang, Tiantong He, Qi Wei, Haikun Wang, Ning Tian, Qiyuan Lam, Kwok-Yan Yao, Xin Wong, Tien Yin School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China Beth Israel Deaconess Medical Center Harvard Medical School Boston United States Department of Neurology National Neuroscience Institute Singapore Research Centre of Big Data and Artificial Intelligence for Medicine First Affiliated Hospital of Sun Yat-Sen University Guangzhou China Duke-NUS Medical School National University of Singapore Singapore Mind PointEye Singapore Institute for AI Industry Research Tsinghua University Beijing China College of Computing and Data Science Nanyang Technological University Singapore School of Biomedical Engineering Tsinghua University Beijing China Singapore AI Safety Institute Nanyang Technological University Singapore School of Data Science Lingnan University Hong Kong School of Computer Science University of Birmingham United Kingdom Singapore Eye Research Institute Singapore National Eye Centre Singapore Tsinghua Medicine Tsinghua University Beijing China

Artificial Intelligence (AI) has apparently become one of the most important techniques discovered by humans in history while the human brain is widely recognized as one of the most complex systems in the universe. One fundamental critical question which would affect human sustainability remains open: Will artificial intelligence (AI) evolve to surpass human intelligence in the future? This paper shows that in theory new AI twins with fresh cellular level of AI techniques for neuroscience could approximate the brain and its functioning systems (e.g. perception and cognition functions) with any expected small error and AI without restrictions could surpass human intelligence with probability one in the end. This paper indirectly proves the validity of the conjecture made by Frank Rosenblatt 70 years ago about the potential capabilities of AI, especially in the realm of artificial neural networks. This paper also gives the answer to the two widely discussed fundamental questions: 1) whether AI could have potentials of discovering new principles in nature;2) whether error backpropagation (BP) algorithm commonly and efficiently used in tuning parameters in AI applications is also adopted in the brain. Intelligence is just one of fortuitous but sophisticated creations of the nature which has not been fully discovered. Like mathematics and physics, with no restrictions artificial intelligence would lead to a new subject with its self-contained systems and principles. We anticipate that this paper opens new doors for 1) AI twins and other AI techniques to be used in cellular level of efficient neuroscience dynamic analysis, functioning analysis of the brain and brain illness solutions;2) new worldwide collaborative scheme for interdisciplinary teams concurrently working on and modelling different types of neurons and synapses and different level of functioning subsystems of the brain with AI techniques;3) development of low energy of AI techniques with the aid of fundament

关键词： Neurology

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Retraction Note: Evaluation on diabetic plantar pressure data-set employing auto-segmentation technologies

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Neural Computing and Applications 2024年第24期36卷 15219-15219页

作者： Chen, Hongwei Cao, Luying Li, Zairan Hemanth, D. Jude Wu, Lijun de Albuquerque, Victor Hugo C. Shi, Fuqian Department of Orthopedics Yiwu Central Hospital Wenzhou Medical University Wenzhou People’s Republic of China Institute of Digitized Medicine Wenzhou Medical University Wenzhou People’s Republic of China Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin People’s Republic of China Department of ECE Karunya University Coimbatore India Programa de Pós-Graduação Em Informática Aplicada Universidade de Fortaleza Fortaleza Brazil

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Design of Face Recognition Access Entrance Guard System with Mask Based on Embedded Development

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Journal of Physics: Conference Series 2021年第1期1883卷

作者： Lin Ruiqin Tan Wenan Chen Zhenyu Qinqin Faculty of Environmental and Materials Engineering Shanghai Polytechnic University Shanghai 201209 China Computer Engineering Shanghai Polytechnic University Shanghai 201209 China Department of Measurement and Control and Automation Shanghai Polytechnic University Shanghai 201209 China

This paper investigates all kinds of access entrance guard control systems at home and abroad and analyzes their advantages and disadvantages. COVID-19 epidemic has a serious impact on life, travel must wear a mask, so that the access entrance guard control system can not carry out face recognition under the mask. In view of this kind of situation, an embedded face recognition access entrance guard control system with mask based on EAIDK-310 development board is designed. The system can complete face recognition and body temperature measurement without contact, and drive the motor to open the gate. After testing, the system is suitable for deployment in companies, communities, campuses and other small application scenarios. It is convenient to travel and can reduce the impact of the epidemic.

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An Adaptive Strategy via Reinforcement Learning for the Prisoner＇s Dilemma Game

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IEEE/CAA Journal of Automatica Sinica 2018年第1期5卷 301-310页

作者： Lei Xue Changyin Sun Donald Wunsch Yingjiang Zhou Fang Yu Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing 210096 China Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO 65409 USA College of Automation Nanjing University of Posts and Telecommunications Nanjing 210023 China Institute of Logistics Science and Engineering Shanghai Maritime University Shanghai 210096 China IEEE

The iterated prisoner's dilemma(IPD) is an ideal model for analyzing interactions between agents in complex networks. It has attracted wide interest in the development of novel strategies since the success of tit-for-tat in Axelrod's tournament. This paper studies a new adaptive strategy of IPD in different complex networks, where agents can learn and adapt their strategies through reinforcement learning method. A temporal difference learning method is applied for designing the adaptive strategy to optimize the decision making process of the agents. Previous studies indicated that mutual cooperation is hard to emerge in the IPD. Therefore, three examples which based on square lattice network and scale-free network are provided to show two features of the adaptive strategy. First, the mutual cooperation can be achieved by the group with adaptive agents under scale-free network, and once evolution has converged mutual cooperation, it is unlikely to shift. Secondly, the adaptive strategy can earn a better payoff compared with other strategies in the square network. The analytical properties are discussed for verifying evolutionary stability of the adaptive strategy.

关键词： Complex network prisoner’s dilemma reinforcement learning temporal differences learning

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Event-triggered control for a class of second-order uncertain p-normal nonlinear systems

Event-triggered control for a class of second-order uncertai...

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第三十八届中国控制会议

作者： Wei Jiang Ting Li Zhenhua Zhao Department of Electronic Information Wuxi Vocational Institute of Arts & Technology the School of Automation Southeast University Key Laboratory of Measurement and Control of CSE Ministry of Education College of Automation Engineering Nanjing University of Aeronautics and Astronautics

The problem of event-triggered control for a class of second-order uncertain nonlinear systems subject to p-norm is investigated in this paper. A novel in this paper is that the input-to-state stability(ISS) assumption is removed. By adding a power integrator technique, we design a virtual control signal to address the uncertainties and nonlinearities of nonlinear *** rigorous stability analysis, all the signals of the closed-loop system are proven to be globally uniformly bounded and can converge to an arbitrarily small set which can be be adjusted by one parameter. A numerical example demonstrates the effectiveness of the designed scheme.

关键词： Event-triggered control uncertain nonlinear systems p-norm adding a power integrator technique

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PID2018 Benchmark Challenge: Model-based Feedforward Compensator with A Conditional Integrator

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IFAC-PapersOnLine 2018年第4期51卷 888-893页

作者： Yuan, Jie Ates, Abdullah Dehghan, Sina Zhao, Yang Fei, Shumin Chen, YangQuan School of Automation Southeast University Nanjing210096 China Engineering Faculty Computer Engineering Department Inonu University Malatya44280 Turkey Mechatronics Embedded Systems and Automation Lab University of California MercedCA95340 United States School of Science and Engineering Shandong University Jinan250061 China Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University Nanjing210096 China

Since proportional-integral-derivative (PID) controllers absolutely dominate the control engineering, numbers of different control structures and theories have been developed to enhance the efficiency of PID controllers. Thus, it is essential and inspiring to operate different PID control strategies to the PID2018 Benchmark Challenge. In this paper, a novel control strategy is designed for this refrigeration system, where a feedforward compensator and a conditional integrator are utilized to compensate the disturbances and remove the steady-state error in the benchmark problem, respectively. The simulation results given in the benchmark problem show the straightforward effectiveness of the proposed control structure compared with the existing control methods. © 2018

关键词： controllers Benchmarking Disturbance rejection Electric control equipment Proportional control systems Refrigeration Three term control systems Two term control systems Conditional integrators Feed forward compensation Model based method PID controllers Refrigeration system

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Generalization of Studies of the Interval Criterion of Steady-State Value in the Measuring Chain with Structural Uncertainty

Generalization of Studies of the Interval Criterion of Stead...

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International Scientific Symposium on Metrology and Metrology Assurance (MMA)

作者： Nikolay A. Serov Nay Myo Kyaw Alexey A. Lupachev Elizabeth A. Elicheva Yuriy S. Bekhtin Arkadiy R. Petsinyarzh Information and Measurement Technique Department National Research University “Moscow Power Engineering Institute” Moscow Russian Federation Automation and information technologies in control Department “Ryazan State Radio Engineering University” Ryazan Russian Federation Automatic Control Systems Department “Moscow state Technical University named after N. Eh. Bauman” Moscow Russian Federation

ISBN: (纸本)9781728122144

The time limit of the transient process (TP) in the measuring circuit (MC) is determined by known criteria. These criteria use a first-order dynamic link model. Typically, this model is a priori model for the measurement problems discussed above. In on-line mode, the interval criterion (IC) is used. There is a limitation in the form of a critical value of the time constant (TC) to apply the criterion. Previously, it was found that such a restriction exists for the MC model in the form of a dynamic link of the second order. The functional dependence of the critical value on the parameter in the form of the ratio of the second-order dynamic link TC model was found. This restriction on the use of IC develops the fact that there is such a restriction for MC with a first-order model. It is advisable to analyze the performance of the IC for the third-order MC model. These models are widely used in the simulation of measuring channels. Thus, it is possible to generalize such studies. In this study we used a model with transfer function presented in terms of the diagram Vyshnegradsky with parameters "A" and "B". In this paper, the IC is analyzed for the area of the aperiodic regime of the MC. The simulation results showed that the functional dependence of the critical value on the parameters is presented as a complex surface. For the bisector of the diagram at A and B>8, the critical value is stabilized and set at the level characteristic of the first order model. Based on the information about the behavior of the critical value of the interval criterion for MC with structural uncertainty, it is possible to construct robust algorithms that implement IC. The time limit of the transient process (TP) in the measuring circuit (MC) is determined by known criteria. These criteria use a first-order dynamic coupling model. Typically, this model is apriori model for the measurement problems discussed above.

关键词： Measuring circuit Transient analysis Dynamic link of the third order Interval criteria for the end of the transition process The critical duration of the interval of observation of the process Critical value Transient analysis time-limit dynamic link Integrated circuits functional dependence Generalization Bisector transient processes

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Contraction analysis on primal-dual gradient optimization

arXiv

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arXiv 2019年

作者： Su, Yanxu Shi, Yang Sun, Changyin School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education Southeast University Nanjing210096 China Department of Mechanical Engineering University of Victoria VictoriaBCV8W 3P6 Canada

This paper analyzes the contraction of the primaldual gradient optimization via contraction theory in the context of discrete-time updating dynamics. The contraction theory based on Riemannian manifolds is first established for convergence analysis of a convex optimization algorithm. The equality and inequality constrained optimization cases are studied, respectively. Under some reasonable assumptions, we construct the Riemannian metric to characterize a contraction region. It is shown that if the step-sizes of the updating dynamics are properly designed, the convergence rates for both cases can be obtained according to the contraction region in which the convergence can be ***, the augmented Lagrangian function which is projection free is adopted to tackle the inequality constraints. Some numerical experiments are simulated to demonstrate the effectiveness of the presented contraction analysis results on primal-dual gradient optimization algorithm. Copyright © 2019, The Authors. All rights reserved.

关键词： Convex optimization

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Distributed model predictive control under inexact primal-dual gradient optimization based on contraction analysis

arXiv

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arXiv 2019年

This paper develops a distributed model predictive control (DMPC) strategy for a class of discrete-time linear systems with consideration of globally coupled constraints. The DMPC under study is based on the dual problem concerning all subsystems, which is solved by means of the primal-dual gradient optimization in a distributed manner using Laplacian consensus. To reduce the computational burden, the constraint tightening method is utilized to provide a capability of premature termination with guaranteeing the convergence of the DMPC optimization. The contraction theory is first adopted in the convergence analysis of the primal-dual gradient optimization under discrete-time updating dynamics towards a nonlinear objective function. Under some reasonable assumptions, the recursive feasibility and stability of the closed-loop system can be established under the inexact solution. A numerical simulation is given to verify the performance of the proposed strategy. Copyright © 2019, The Authors. All rights reserved.

关键词： Closed loop systems

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