Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

44 results about "Nonlinear kinetics" patented technology

Nonlinear kinetics is usually due to saturation occuring in one of the pharmacokinetic mechanisms: protein binding, hepatic metabolism, or active renal transport of the drug. Saturable elimination: above a certain drug concentration, the elimination rate tends to reach a maximal value.

Cyanobacterial bloom predicting method based on non-linear kinetic time-series model

The invention discloses a cyanobacterial bloom predicting method based on a non-linear kinetic time-series model, which belongs to the water environment predicting field. The method comprises the following steps: using the blue algae growth rate as a time-varying parameter; creating a non-linear kinetic time-series model for the cyanobacteria growth with double nutrient salt cycling; using the combination of the numerical algorithm and the intelligent evolutionary algorithm, optimizing the constant parameters in the non-linear kinetic time-series model for the cyanobacteria growth; through setting the multivariate time-series model to realize the prediction of the time-varying parameter and the cyanobacteria biomass and through using the bifurcation theory and the central manifold theory to make a nonlinear kinetic analysis of the cyanobacteria growth time-varying system, obtaining the outbreak conditions for a cyanobacteria bloom so as to make an early warning of the bloom outbreak. The method proposed by the invention not only determines the conditions for a cyanobacteria bloom outbreak, but also improves the bloom prediction accuracy, providing an effective reference for an environmental protection department and governance decisions for water environment treatment.
Owner:BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY

Dynamic coupling time varying failure rate analysis method of on-orbit space flexible gear mechanism

ActiveCN104008240AAvoid the problem of low reliability calculation accuracySuitable for highly nonlinear situationsSpecial data processing applicationsFailure rateEngineering
A dynamic coupling time varying failure rate analysis method of a on-orbit space flexible gear mechanism comprises the seven steps that firstly, according to the fact that a shaft in the on-orbit space flexible gear mechanism is an elastic body, a kinetic equation of the flexible shaft is built, and the finite element method is adopted for analysis; secondly, a gear kinetic equation is built; thirdly, a nonlinear kinetics equation of coupling of the flexible shaft and a gear in the on-orbit space flexible gear mechanism is built; fourthly, transmission stimulation analysis is performed on the space flexible gear mechanism; fifthly, the Newmark algorithm is adopted to calculate a dynamic load coefficient; sixthly, a gear bending stress reliability limit state function is built in the on-orbit space flexible gear mechanism; seventhly, dynamic reliability and failure rate analysis are performed on the space flexible gear mechanism. The method solves the problem that reliability calculating accuracy is low because of nonlinear factors of a traditional transfer matrix method and mode superposition method, and has engineering practical value for improving reliability of the on-orbit space flexible gear mechanism and other spacecrafts. The method is also suitable for other flexible gear mechanisms.
Owner:BEIHANG UNIV

Six-degree-of-freedom ultralow frequency vibration isolation device based on zero stiffness system and control system thereof

The invention discloses a six-degree-of-freedom ultralow frequency vibration isolation device based on a zero stiffness system and a control system thereof, and relates to the fields of multi-degree-of-freedom low frequency, ultralow frequency and even zero-frequency vibration isolation and micro vibration simulation experiments. The six-degree-of-freedom ultralow frequency vibration isolation device based on the zero stiffness system is formed by connecting a supporting platform, a basic platform and a vibration isolation module. The vibration isolation module comprises an upper connecting rod, a lower connecting rod, a columnar shell, a vertical spring, a horizontal spring and a connecting assembly between the springs. The upper end of the upper connecting rod is connected with the supporting platform. The lower end of the upper connecting rod penetrates through an upper end cover of the columnar shell and is connected with the connecting assembly between the springs. The upper end of the lower connecting rod is fixedly connected with a lower end cover of the columnar shell. The lower end of the lower connecting rod is connected with the basic platform. The vibration isolation module meets the characteristic of zero stiffness. In combination with a gravity environment self-adapting control system, an isolated object is in a suspended state. Low frequency, ultralow frequency and even zero-frequency full-band vibration immune and isolation performance can be realized, and the problem of the multicoupling technique of multi-degree-of-freedom ultralow frequency, vibration resonance and non-linear dynamics is solved.
Owner:HARBIN INST OF TECH

Nonlinear kinetic equation solving method and system for mechanical nonlinear vibration analysis

The invention discloses a nonlinear kinetic equation solving method and system for mechanical nonlinear vibration analysis. The method comprises the following steps: constructing and obtaining a nonlinear finite element kinetic equation in a system time domain according to a to-be-analyzed mechanical nonlinear vibration system; obtaining a nonlinear finite element kinetic equation in a frequency domain through a multi-harmonic balance method; solving a Jacobian matrix of a nonlinear finite element kinetic equation in a frequency domain by utilizing an automatic differential method; solving thenonlinear finite element kinetic equation in the frequency domain by adopting an arc length method to obtain a solution of the nonlinear finite element kinetic equation in the frequency domain; according to the solution of the nonlinear finite element kinetic equation in the frequency domain, the solution of the nonlinear finite element kinetic equation in the time domain is obtained through generalized inverse Fourier transform, then a frequency response curve is obtained, and mechanical nonlinear vibration analysis is carried out.
Owner:XI AN JIAOTONG UNIV

Complex learning based non-minimum phase aircraft neural network control method

ActiveCN108762098AAvoiding Aerothermal ProblemsEnhanced Approximation CapabilitiesPosition/course control in three dimensionsAdaptive controlLearning basedNerve network
The invention relates to a complex learning based non-minimum phase aircraft neural network control method, a longitudinal channel model of an aircraft is firstly decomposed into a speed subsystem anda height subsystem, PID is used to control the speed subsystem, and a back-stepping method is used to control the height subsystem. As for the height subsystem, the unstable inner dynamic state is changed to the asymptotic stable inner dynamic state on the basis of outputting redefinition, the inner dynamic state of the system outputting redefinition is subjected to coordinate transformation, anda pitch angel instruction used for designing a controller is derived; the unknown nonlinear kinetics of the system is estimated through the neural network, a model error signal is designed, a complexlearning algorithm is given in combination with a tracking error, and the approximation performance of the nonlinear kinetics of the neural network is improved. The inner dynamic state is stabilizedby outputting redefinition, the uncertain kinetics of the aircraft is estimated on the basis of the complex learning neural network, and a novel concept is provided for controlling the non-minimum phase aircraft.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Electroencephalogram abnormal signal detection device and method

The invention discloses an electroencephalogram abnormal signal detection device and method. The device comprises an electroencephalogram signal preprocessing unit which is used for obtaining an original electroencephalogram signal and carrying out the denoising of the original electroencephalogram signal, and obtaining a target electroencephalogram signal, a wavelet decomposition and reconstruction unit which is used for acquiring the target electroencephalogram signal, and performing X-layer decomposition by adopting Daubechies wavelets according to the coverage frequency of the abnormal waveform and the sampling frequency of the electroencephalogram detection equipment to obtain X-layer frequency bands and characteristic components of each frequency band, a nonlinear kinetic parameter estimation unit which is used for calculating sample entropy characteristics of the electroencephalogram signals of each frequency band after wavelet decomposition, a normalization unit which is used for carrying out normalization processing on the feature components and the sample entropy features to obtain feature vectors, and a detection and classification unit which is used for detecting and classifying the feature vectors. According to the method, features after wavelet transform and features of nonlinear dynamics are combined, comprehensive consideration is carried out, and classificationdetection is carried out on final waveforms.
Owner:CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST

Control system and method for controlling operation of system

A control system for controlling an operation of a system with continuous- time nonlinear dynamics subject to constraints including equality and inequality constraints on state and control variables of the system, including an estimator to estimate a current state of the system using measurements of the operation of the system and a controller to iteratively solve, at each control time step, an approximation of a constrained nonlinear optimization problem to produce a control solution, wherein the approximation includes a linearization of the nonlinear dynamics of the system discretized by time intervals in the control horizon and represented using an approximation of the constraint Jacobian matrix for each time interval of the control horizon. The iterative solution procedure is based ona block- wise update formula for the approximation of the constraint Jacobian matrix and the intermediate condensing matrices using an evaluation of one or combination of the discretized dynamics of the system and at least one directional derivative of the discretized dynamics of the system. Each block in the constraint Jacobian matrix and in the intermediate condensing matrices represents one time interval in the prediction horizon and can be updated independently, based on a block- wise rank-one update formula without any iterative solution procedure and without any matrix-matrix multiplications or matrix factorizations.
Owner:MITSUBISHI ELECTRIC CORP

Method for judging peeling position of rolling bearing

ActiveCN111337255AAvoid the problem of inaccurate simulation of actual faultsSimulation running statusMachine part testingSignal onRolling-element bearing
The invention provides a method for judging the peeling position of a rolling bearing. Firstly, a nonlinear kinetic model of a spalling fault bearing is established; obtaining a simulated frequency domain vibration curve of the spalling fault bearing; then acquiring a vibration signal on a bearing with a fault or a suspected fault; extracting an actual measurement frequency domain vibration curve,then calculating fault characteristic frequencies of an outer ring and an inner ring of a bearing with a fault or a suspected fault, comparing the fault characteristic frequencies with the actual measurement frequency domain vibration curve by taking the simulation frequency domain vibration curve as a reference, determining whether the bearing to be measured is a fault bearing or not, and determining a specific fault position. According to the invention, the problem of inaccurate actual fault simulation of a fault nonlinear kinetic model is avoided; meanwhile, pulse modulation in the processthat the rolling body passes through the fault position of the inner ring and the outer ring during operation is considered, the operation state of the bearing during early faults can be simulated more accurately, the detection efficiency and precision are effectively improved, the equipment maintenance cost is reduced, and the production efficiency is improved.
Owner:SHENYANG JIANZHU UNIVERSITY

Chaos controlling and harmonic oscillation eliminating method for energy storage process of mechanical elastic energy storage (MEES) unit

The invention provides a new mechanical elasticity-based energy storage chaos phenomenon controlling and eliminating method. A nonlinear dynamical model of a permanent magnet motor type mechanical elastic energy storage (MEES) unit is deduced, the unit does chaotic motion under certain parameters and the running condition in the energy storage process, known and unknown parameters of a system are controlled, and the chaos phenomenon of the permanent magnet motor type MEES can be eliminated by a simplest controller.
Owner:王少夫

Prediction method of cyanobacterial bloom based on nonlinear dynamic time series model

The invention discloses a cyanobacterial bloom predicting method based on a non-linear kinetic time-series model, which belongs to the water environment predicting field. The method comprises the following steps: using the blue algae growth rate as a time-varying parameter; creating a non-linear kinetic time-series model for the cyanobacteria growth with double nutrient salt cycling; using the combination of the numerical algorithm and the intelligent evolutionary algorithm, optimizing the constant parameters in the non-linear kinetic time-series model for the cyanobacteria growth; through setting the multivariate time-series model to realize the prediction of the time-varying parameter and the cyanobacteria biomass and through using the bifurcation theory and the central manifold theory to make a nonlinear kinetic analysis of the cyanobacteria growth time-varying system, obtaining the outbreak conditions for a cyanobacteria bloom so as to make an early warning of the bloom outbreak. The method proposed by the invention not only determines the conditions for a cyanobacteria bloom outbreak, but also improves the bloom prediction accuracy, providing an effective reference for an environmental protection department and governance decisions for water environment treatment.
Owner:BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY

A Time-varying Failure Rate Analysis Method for Dynamic Coupling of On-orbit Space Flexible Gear Mechanism

ActiveCN104008240BAvoid the problem of low reliability calculation accuracySuitable for highly nonlinear situationsSpecial data processing applicationsFailure rateEngineering
A dynamic coupling time varying failure rate analysis method of a on-orbit space flexible gear mechanism comprises the seven steps that firstly, according to the fact that a shaft in the on-orbit space flexible gear mechanism is an elastic body, a kinetic equation of the flexible shaft is built, and the finite element method is adopted for analysis; secondly, a gear kinetic equation is built; thirdly, a nonlinear kinetics equation of coupling of the flexible shaft and a gear in the on-orbit space flexible gear mechanism is built; fourthly, transmission stimulation analysis is performed on the space flexible gear mechanism; fifthly, the Newmark algorithm is adopted to calculate a dynamic load coefficient; sixthly, a gear bending stress reliability limit state function is built in the on-orbit space flexible gear mechanism; seventhly, dynamic reliability and failure rate analysis are performed on the space flexible gear mechanism. The method solves the problem that reliability calculating accuracy is low because of nonlinear factors of a traditional transfer matrix method and mode superposition method, and has engineering practical value for improving reliability of the on-orbit space flexible gear mechanism and other spacecrafts. The method is also suitable for other flexible gear mechanisms.
Owner:BEIHANG UNIV

Method for controlling vibration based on bifurcation and chaotic analysis

The invention relates to a method for controlling a workpiece vibration system in the milling process of a thin-walled workpiece through bifurcation and chaotic analysis. The method comprises the steps that firstly, a nonlinear kinetic equation of a rectangular thin-walled workpiece under the thermal coupling effect in the milling process is established; then, the condition that a nonlinear vibration system generates Smale horseshoe chaos is revealed through a Melnikov function; meanwhile, according to the bifurcation and chaotic analysis method, the influence rule of the change of the load, the temperature, the technological parameters and the like on the nonlinear dynamic behavior of the system in the thin-wall workpiece machining process is analyzed, and the thin-wall workpiece vibration control method optimized through the machining parameters is finally established. According to the method, by using the bifurcation and chaotic analysis method, the influence rule of the change of the load, the temperature, the technological parameters and the like on a workpiece vibration system in a milling process is analyzed based on an established kinetic equation of the workpiece vibration system in the machining process. Processing parameters can be scientifically selected by using a chaos and bifurcation analysis vibration control method, so that the processing quality can be effectively improved.
Owner:HARBIN UNIV OF SCI & TECH

Gas-liquid two-phase flow pattern nonlinear kinetic analysis method based on generalized composite multi-scale entropy

The invention provides a gas-liquid two-phase flow pattern nonlinear kinetic analysis method based on generalized composite multi-scale entropy. The method comprises the following steps: firstly, carrying out an air-water-gas-liquid two-phase flow experiment, and collecting pressure difference fluctuation time sequences of three flow patterns; then performing generalized coarse graining processing according to the flow type differential pressure fluctuation time sequence, calculating entropy values of all coarse graining time sequences of different scale factors, averaging the entropy values under the same scale factor, obtaining generalized composite multi-scale entropy under different scales, and drawing an entropy value change trend chart of the generalized composite multi-scale entropy; and finally, according to the generalized composite multi-scale entropy change trend charts of different flow patterns, calculating the generalized composite multi-scale entropy growth rate, and obtaining generalized composite multi-scale entropy growth rate distribution of the three flow pattern pressure difference fluctuation time sequences, thereby realizing representation and identification of the flow patterns. The generalized composite multi-scale entropy in the invention can map the complexity of the gas-liquid two-phase flow, and has the characteristics of strong robustness, simple calculation and easy realization.
Owner:QIQIHAR UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products