Similar to having done for the mid-point and trapezoid quadrature rules,we obtain alternative estimations of error bounds for the Simpson＇s quadrature rule involving n-time（1 ≤ n ≤ 4） differentiable mappings and ...Similar to having done for the mid-point and trapezoid quadrature rules,we obtain alternative estimations of error bounds for the Simpson＇s quadrature rule involving n-time（1 ≤ n ≤ 4） differentiable mappings and then to the estimations of error bounds for the adaptive Simpson＇s quadrature rule.展开更多
A new fault detection and diagnosis approach is developed in this paper for a class of singular nonlinear systems via the use of adaptive updating rules. Both detection and diagnostic observers are established, where ...A new fault detection and diagnosis approach is developed in this paper for a class of singular nonlinear systems via the use of adaptive updating rules. Both detection and diagnostic observers are established, where Lyapunov stability theory is used to obtain the required adaptive tuning rules for the estimation of the process faults. This has led to stable observation error systems for both fault detection and diagnosis. A simulated numerical example is included to demonstrate the use of the proposed approach and encouraging results have been obtained.展开更多
Purpose-The purpose of this paper is to present an on-line modeling and controlling scheme based on the dynamic recurrent neural network for wastewater treatment system.Design/methodology/approach-A control strategy b...Purpose-The purpose of this paper is to present an on-line modeling and controlling scheme based on the dynamic recurrent neural network for wastewater treatment system.Design/methodology/approach-A control strategy based on rule adaptive recurrent neural network(RARFNN)is proposed in this paper to control the dissolved oxygen(DO)concentration and nitrate nitrogen(SNo)concentration.The structure of the RARFNN is self-organized by a rule adaptive algorithm,and the rule adaptive algorithm considers the overall information processing ability of neural network.Furthermore,a stability analysis method is given to prove the convergence of the proposed RARFNN.Findings-By application in the control problem of wastewater treatment process(WWTP),results show that the proposed control method achieves better performance compared to other methods.Originality/value-The proposed on-line modeling and controlling method uses the RARFNN to model and control the dynamic WWTP.The RARFNN can adjust its structure and parameters according to the changes of biochemical reactions and pollutant concentrations.And,the rule adaptive mechanism considers the overall information processing ability judgment of the neural network,which can ensure that the neural network contains the information of the biochemical reactions.展开更多
As the global digital economy becomes deeply integrated,digital trade has emerged as a core engine of international trade growth.However,differing value orientations and interests have led to the emergence of diverse ...As the global digital economy becomes deeply integrated,digital trade has emerged as a core engine of international trade growth.However,differing value orientations and interests have led to the emergence of diverse regulatory frameworks with distinct emphases.This fragmentation ofregional regulatory systems conflicts with the large-scale cross-border flow of digital elements,thereby hindering the globalization of digital trade.From the perspective of regulatory adaptation,this article systematically analyzes how AI agents empower technological solutions to overcome digital trade barriers.It further reveals their unique opportunities in rule interpretation,dynamic compliance,and collaborative governance,and proposes a three-stage strategic pathway:“technology adaptation rule transformationecological collaboration.”This study finds that AI agents can effectively reduce the cost of regulatory adaptation and provide precise compliance solutions for digital trade entities through semantic parsing,real-time learning,and cross-domain collaboration.It offers a theoretical framework for technological pathways to overcoming digital trade barriers and provides strategic insights for China's participation in global digital governance.展开更多
基金Supported by the Natural Science Foundation of Zhejiang Province（Y6090361）
文摘Similar to having done for the mid-point and trapezoid quadrature rules,we obtain alternative estimations of error bounds for the Simpson＇s quadrature rule involving n-time（1 ≤ n ≤ 4） differentiable mappings and then to the estimations of error bounds for the adaptive Simpson＇s quadrature rule.
基金the Outstanding Oversea Award of the Chinese Academy of Sciences (No. 2004-1-4)the Natural Science Foundationof China (No. 60534010)
文摘A new fault detection and diagnosis approach is developed in this paper for a class of singular nonlinear systems via the use of adaptive updating rules. Both detection and diagnostic observers are established, where Lyapunov stability theory is used to obtain the required adaptive tuning rules for the estimation of the process faults. This has led to stable observation error systems for both fault detection and diagnosis. A simulated numerical example is included to demonstrate the use of the proposed approach and encouraging results have been obtained.
基金supported by the National Natural Science Foundation of China Grant Numbers(61622301,61533002)Beijing Municipal Education Commission Science and Technology Development Program Grant Numbers(KZ201410005002,201410005001)the PhD Programs Foundation of Ministry of Education of China Grant Number(20131103110016).
文摘Purpose-The purpose of this paper is to present an on-line modeling and controlling scheme based on the dynamic recurrent neural network for wastewater treatment system.Design/methodology/approach-A control strategy based on rule adaptive recurrent neural network(RARFNN)is proposed in this paper to control the dissolved oxygen(DO)concentration and nitrate nitrogen(SNo)concentration.The structure of the RARFNN is self-organized by a rule adaptive algorithm,and the rule adaptive algorithm considers the overall information processing ability of neural network.Furthermore,a stability analysis method is given to prove the convergence of the proposed RARFNN.Findings-By application in the control problem of wastewater treatment process(WWTP),results show that the proposed control method achieves better performance compared to other methods.Originality/value-The proposed on-line modeling and controlling method uses the RARFNN to model and control the dynamic WWTP.The RARFNN can adjust its structure and parameters according to the changes of biochemical reactions and pollutant concentrations.And,the rule adaptive mechanism considers the overall information processing ability judgment of the neural network,which can ensure that the neural network contains the information of the biochemical reactions.
文摘As the global digital economy becomes deeply integrated,digital trade has emerged as a core engine of international trade growth.However,differing value orientations and interests have led to the emergence of diverse regulatory frameworks with distinct emphases.This fragmentation ofregional regulatory systems conflicts with the large-scale cross-border flow of digital elements,thereby hindering the globalization of digital trade.From the perspective of regulatory adaptation,this article systematically analyzes how AI agents empower technological solutions to overcome digital trade barriers.It further reveals their unique opportunities in rule interpretation,dynamic compliance,and collaborative governance,and proposes a three-stage strategic pathway:“technology adaptation rule transformationecological collaboration.”This study finds that AI agents can effectively reduce the cost of regulatory adaptation and provide precise compliance solutions for digital trade entities through semantic parsing,real-time learning,and cross-domain collaboration.It offers a theoretical framework for technological pathways to overcoming digital trade barriers and provides strategic insights for China's participation in global digital governance.
