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一种可分非线性系统的自校正广义预测 被引量:1
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作者 郭红戈 李国勇 郭鹏 《太原理工大学学报》 CAS 北大核心 2005年第4期431-433,共3页
对一类可分非线性系统,采用Hammerstein模型的基本框架,用神经网络对非线性部分建模,线性部分采用受控自回归积分滑动平均模型。对此模型的线性部分设计广义预测控制器,得出线性部分的控制量。根据此控制量,引入一逆神经网络,结合原来... 对一类可分非线性系统,采用Hammerstein模型的基本框架,用神经网络对非线性部分建模,线性部分采用受控自回归积分滑动平均模型。对此模型的线性部分设计广义预测控制器,得出线性部分的控制量。根据此控制量,引入一逆神经网络,结合原来的神经网络模型,通过对逆神经网络权值的调整,使神经网络模型的输出为线性部分的控制量,同时得到逆神经网络的输出,即非线性系统的控制量。克服了Hammerstein模型中非线性部分的反函数存在性和惟一性的问题。仿真结果验证了该设计的有效性。 展开更多
关键词 可分非线性系统 神经网络 广义预测
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可分非线性系统的自校正广义预测控制 被引量:1
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作者 卫明社 李国勇 《太原科技大学学报》 2008年第1期9-11,共3页
对一种可分非线性系统,采用Hammerstein模型的基本框架,用神经网络对非线性部分建模,线性部分采用受控自回归积分滑动平均模型。对此模型的线性部分设计广义预测控制器,得出线性部分的控制量。根据此控制量,引入一逆神经网络,结合原来... 对一种可分非线性系统,采用Hammerstein模型的基本框架,用神经网络对非线性部分建模,线性部分采用受控自回归积分滑动平均模型。对此模型的线性部分设计广义预测控制器,得出线性部分的控制量。根据此控制量,引入一逆神经网络,结合原来的神经网络模型,通过对逆神经网络权值的调整,使神经网络模型的输出为线性部分的控制量,同时得到逆神经网络的输出,即非线性系统的控制量。文章提出的模型克服了Hammerstein模型中非线性部分的反函数存在性和唯一性的问题。仿真结果验证了该设计的有效性。 展开更多
关键词 可分非线性系统 神经网络 广义预测
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On stochastic optimal control of partially observable nonlinear quasi Hamiltonian systems 被引量:10
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作者 朱位秋 应祖光 《Journal of Zhejiang University Science》 EI CSCD 2004年第11期1313-1317,共5页
A stochastic optimal control strategy for partially observable nonlinear quasi Hamiltonian systems is proposed. The optimal control forces consist of two parts. The first part is determined by the conditions under whi... A stochastic optimal control strategy for partially observable nonlinear quasi Hamiltonian systems is proposed. The optimal control forces consist of two parts. The first part is determined by the conditions under which the stochastic optimal control problem of a partially observable nonlinear system is converted into that of a completely observable linear system. The second part is determined by solving the dynamical programming equation derived by applying the stochastic averaging method and stochastic dynamical programming principle to the completely observable linear control system. The response of the optimally controlled quasi Hamiltonian system is predicted by solving the averaged Fokker-Planck-Kolmogorov equation associated with the optimally controlled completely observable linear system and solving the Riccati equation for the estimated error of system states. An example is given to illustrate the procedure and effectiveness of the proposed control strategy. 展开更多
关键词 Nonlinear system Partially observation Stochastic optimal control Separation principle Stochastic averaging Dynamical programming
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A Hierarchy of Lax Integrable Lattice Equations, Liouville Integrability and a NewIntegrable Symplectic Map 被引量:6
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作者 XUXi-Xiang ZHANGYu-Feng 《Communications in Theoretical Physics》 SCIE CAS CSCD 2004年第3期321-328,共8页
A discrete matrix spectral problem and the associated hierarchy of Lax integrable lattice equations are presented, and it is shown that the resulting Lax integrable lattice equations are all Liouville integrable discr... A discrete matrix spectral problem and the associated hierarchy of Lax integrable lattice equations are presented, and it is shown that the resulting Lax integrable lattice equations are all Liouville integrable discrete Hamiltonian systems. A new integrable symplectic map is given by binary Bargmann constraint of the resulting hierarchy. Finally, an infinite set of conservation laws is given for the resulting hierarchy. 展开更多
关键词 lattice soliton equation discrete Hamiltonian system Liouville integrability NONLINEARIZATION symplctic map conservation law
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Nonlinear Mixed-Effects Models for Repairable Systems Reliability
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作者 谭芙蓉 江志斌 +1 位作者 郭位 裴锡柱 《Journal of Shanghai Jiaotong university(Science)》 EI 2007年第2期283-288,共6页
Mixed-effects models,also called random-effects models,are a regression type of analysis which enables the analyst to not only describe the trend over time within each subject,but also to describe the variation among ... Mixed-effects models,also called random-effects models,are a regression type of analysis which enables the analyst to not only describe the trend over time within each subject,but also to describe the variation among different subjects.Nonlinear mixed-effects models provide a powerful and flexible tool for handling the unbalanced count data.In this paper,nonlinear mixed-effects models are used to analyze the failure data from a repairable system with multiple copies.By using this type of models,statistical inferences about the population and all copies can be made when accounting for copy-to-copy variance.Results of fitting nonlinear mixed-effects models to nine failure-data sets show that the nonlinear mixed-effects models provide a useful tool for analyzing the failure data from multi-copy repairable systems. 展开更多
关键词 repairable systems reliability analysis nonlinear mixed-effects models power law process maximum likelihood estimation
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Double-Pole Solution and SolitonAntisoliton Pair Solution of MNLSE/DNLSE Based upon Hirota Method
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作者 LUO Runjia ZHOU Guoquan 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2024年第5期430-438,共9页
Hirota method is applied to solve the modified nonlinear Schrodinger equation/the derivative nonlinear Schrodinger equation(MNLSE/DNLSE) under nonvanishing boundary conditions(NVBC) and lead to a single and double-pol... Hirota method is applied to solve the modified nonlinear Schrodinger equation/the derivative nonlinear Schrodinger equation(MNLSE/DNLSE) under nonvanishing boundary conditions(NVBC) and lead to a single and double-pole soliton solution in an explicit form. The general procedures of Hirota method are presented, as well as the limit approach of constructing a soliton-antisoliton pair of equal amplitude with a particular chirp. The evolution figures of these soliton solutions are displayed and analyzed. The influence of the perturbation term and background oscillation strength upon the DPS is also discussed. 展开更多
关键词 nonlinear partial differential equation integrable system Hirota's bilinear derivative method soliton solution the derivative Schrodinger equation nonlinear optics
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