A new multi-step adaptive predictive control algorithm for a class of bilinear systems is presented. The structure of the bilinear system is converted into a simple linear model by using nonlinear support vector machi...A new multi-step adaptive predictive control algorithm for a class of bilinear systems is presented. The structure of the bilinear system is converted into a simple linear model by using nonlinear support vector machine (SVM) dynamic approximation with analytical control law derived. The method does not need on-line parameters estimation because the system’s internal model has been transformed into an off-line global model. Compared with other traditional methods, this control law reduces on-line parameter estimating burden. In addition, its overall linear behavior treating method allows an analytical control law available and avoids on-line nonlinear optimization. Simulation results are presented in the article to illustrate the efficiency of the method.展开更多
The paper presents a technical solution which provides energy saving at full speed, as well as duplication of screw propeller and main propulsion system incase it's out of order. The description of the corresponding ...The paper presents a technical solution which provides energy saving at full speed, as well as duplication of screw propeller and main propulsion system incase it's out of order. The description of the corresponding device, designed for transport refrigerator ship, is shown as well as its location on board. Value of energy saving from the use of contra propeller is estimated. The results of the assessment required power to move the ship at low speed by the action of the contra propeller operating in the reactive mode are demonstrated. It is shown, that the ship equipped with the proposed device will get the additional class notation related to the redundancy or duplication of the propulsion system of Russian Maritime Register of Shipping.展开更多
In this study, we developed a highly sensitive dual-mode imaging system using gold nanoparticles (GNPs) conjugated to various fluorophores in solid phantoms. The system consists of fluorescence-lifetime imaging micr...In this study, we developed a highly sensitive dual-mode imaging system using gold nanoparticles (GNPs) conjugated to various fluorophores in solid phantoms. The system consists of fluorescence-lifetime imaging microscopy (FLIM) for surface imaging, diffusion reflection (DR) for deep-tissue imaging (up to 1 cm), and metal-enhanced fluorescence (MEF). We detected quenching in the fluorescent intensity (FI) for the conjugation of both gold nanospheres (GNS) and gold nanorods (GNRs) to Fluorescein, which has an excitation peak at a wavelength shorter than the surface plasmon resonance (SPR) of both types of GNPs. Enhanced FI was detected in conjugation to Rhodamine B (RhB) and Sulforhodamine B (SRB), both with excitation peaks in the SPR regions of the GNPs. The enhanced FI was detected both in solution and in solid phantoms by the FLIM measurements. DR measurements detected the presence of GNRs within the solid phantoms by recording the dropped rates of light scattering in wavelengths corresponding to the absorption spectra of the GNRs. With the inclusion of MEF, this promising dual-mode imaging technique enables efficient and sensitive molecular and functional imaging.展开更多
基金Project (No. 60421002) supported by the National Natural ScienceFoundation of China
文摘A new multi-step adaptive predictive control algorithm for a class of bilinear systems is presented. The structure of the bilinear system is converted into a simple linear model by using nonlinear support vector machine (SVM) dynamic approximation with analytical control law derived. The method does not need on-line parameters estimation because the system’s internal model has been transformed into an off-line global model. Compared with other traditional methods, this control law reduces on-line parameter estimating burden. In addition, its overall linear behavior treating method allows an analytical control law available and avoids on-line nonlinear optimization. Simulation results are presented in the article to illustrate the efficiency of the method.
文摘The paper presents a technical solution which provides energy saving at full speed, as well as duplication of screw propeller and main propulsion system incase it's out of order. The description of the corresponding device, designed for transport refrigerator ship, is shown as well as its location on board. Value of energy saving from the use of contra propeller is estimated. The results of the assessment required power to move the ship at low speed by the action of the contra propeller operating in the reactive mode are demonstrated. It is shown, that the ship equipped with the proposed device will get the additional class notation related to the redundancy or duplication of the propulsion system of Russian Maritime Register of Shipping.
文摘In this study, we developed a highly sensitive dual-mode imaging system using gold nanoparticles (GNPs) conjugated to various fluorophores in solid phantoms. The system consists of fluorescence-lifetime imaging microscopy (FLIM) for surface imaging, diffusion reflection (DR) for deep-tissue imaging (up to 1 cm), and metal-enhanced fluorescence (MEF). We detected quenching in the fluorescent intensity (FI) for the conjugation of both gold nanospheres (GNS) and gold nanorods (GNRs) to Fluorescein, which has an excitation peak at a wavelength shorter than the surface plasmon resonance (SPR) of both types of GNPs. Enhanced FI was detected in conjugation to Rhodamine B (RhB) and Sulforhodamine B (SRB), both with excitation peaks in the SPR regions of the GNPs. The enhanced FI was detected both in solution and in solid phantoms by the FLIM measurements. DR measurements detected the presence of GNRs within the solid phantoms by recording the dropped rates of light scattering in wavelengths corresponding to the absorption spectra of the GNRs. With the inclusion of MEF, this promising dual-mode imaging technique enables efficient and sensitive molecular and functional imaging.