In the research of elastic wave signal detection algorithm, a method based on adaptive wavelet analysis and segmentation threshold processing of the channel noise removal methods is suggested to overcome the effect of...In the research of elastic wave signal detection algorithm, a method based on adaptive wavelet analysis and segmentation threshold processing of the channel noise removal methods is suggested to overcome the effect of noise, which is prcduced by absorption loss, scattering loss, reflection loss and multi-path effect during the elastic wave in the transmission undelgroound. The method helps to realize extraction and recovery of weak signal of elastic wave from the multi-path channel, and simulation study is carded out about wavelet de-noising effects of the elastic wave and obtained satisfactory results.展开更多
This paper investigates the synchronization and circuit implementation of a new hyperchaotic Lorenz system. This system is generated by controlling a generalized Lorenz system to hyperchaotic by introducing a linear s...This paper investigates the synchronization and circuit implementation of a new hyperchaotic Lorenz system. This system is generated by controlling a generalized Lorenz system to hyperchaotic by introducing a linear state feedback controller to its scored equation. Global synchronization of the new hyperchaotic systems can be achieved by unidirectonally linear coupled approach, which is illustrated by both numerical simulations and electronic circuit experiments.展开更多
A discrete fuzzy sliding mode variable structure controller was studied and designed for a class of electro-hydraulic servo system by means of the combination of sliding mode control theory and fuzzy control theory. D...A discrete fuzzy sliding mode variable structure controller was studied and designed for a class of electro-hydraulic servo system by means of the combination of sliding mode control theory and fuzzy control theory. Designed based on the exponential reaching law, paratmter e of conventional sliding mode controller is the key factor of system chattering, and is ~onal to it as well. In view of this, fuzzy control theory was introduced into the design to ensure the real- time adjusting of parameter e. Sinmlation results show that the sys tem chattering is eliminated perfectly, and the dynamic performance of the control system is improved effectively.展开更多
文摘In the research of elastic wave signal detection algorithm, a method based on adaptive wavelet analysis and segmentation threshold processing of the channel noise removal methods is suggested to overcome the effect of noise, which is prcduced by absorption loss, scattering loss, reflection loss and multi-path effect during the elastic wave in the transmission undelgroound. The method helps to realize extraction and recovery of weak signal of elastic wave from the multi-path channel, and simulation study is carded out about wavelet de-noising effects of the elastic wave and obtained satisfactory results.
基金upported by National Natural Science Foundation of China(Grant No.60672085)“Taishan Scholarship”Construction Engineering
文摘This paper investigates the synchronization and circuit implementation of a new hyperchaotic Lorenz system. This system is generated by controlling a generalized Lorenz system to hyperchaotic by introducing a linear state feedback controller to its scored equation. Global synchronization of the new hyperchaotic systems can be achieved by unidirectonally linear coupled approach, which is illustrated by both numerical simulations and electronic circuit experiments.
基金supported by the Natural Science Foundation of Shandong Province(No.ZR2009GQ012)
文摘A discrete fuzzy sliding mode variable structure controller was studied and designed for a class of electro-hydraulic servo system by means of the combination of sliding mode control theory and fuzzy control theory. Designed based on the exponential reaching law, paratmter e of conventional sliding mode controller is the key factor of system chattering, and is ~onal to it as well. In view of this, fuzzy control theory was introduced into the design to ensure the real- time adjusting of parameter e. Sinmlation results show that the sys tem chattering is eliminated perfectly, and the dynamic performance of the control system is improved effectively.
