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39 results about "Systemic model" patented technology

The systemic model is built on the values of support, encouragement and, above all, healthy communication. A traditional intervention is organized by family members without the knowledge of the loved one who is struggling with substance abuse.

System and method for assessing cumulative effects of a failure

A failure-effect validation system includes an effects modeler configured to develop a cumulative effects model for failure modes of the complex system, and by which a model of the complex system is extendible to form an extended complex-system model. The effects modeler is also configured to develop search targets each of which includes logical expressions of notable hazards and other factors that contribute to the cumulative effects, such as crew workload, safety margin and / or physiological effects. A model analysis system is configured to perform an automated analysis using the extended complex-system model and search targets, and in which the automated analysis includes a graph search of possible states of the extended complex-system model to locate search targets. And the effects assessment system is configured to selectively generate a layout of failure analysis data including at least a portion of the extended complex-system model and results of the automated analysis.
Owner:THE BOEING CO

Method for stimulating parked vehicles for cooperative retransmission to perform analysis modeling by using evolutionary game theory in vehicle ad hoc network (VANET)

The invention belongs to the technical technology of mobile communication, and relates to a method of multimedia service in vehicle ad hoc network (VANET) by using roadside parked vehicles. The method is characterized in that a problem of non-cooperation of the parked vehicles is solved by using an evolutionary game theory. According to the method, a system model is divided into two types. The first model is that the parked vehicles are taken as a single group, namely a single-group evolutionary game model. The second model is that the parked vehicles and the running vehicles are taken as two groups, namely a multi-group evolutionary game model. A replicator dynamic equation can be obtained through the evolutionary game theory. Relevant parameters are changed to validate that the simulating mechanism based on the evolutionary game theory is correct. The method has the advantages that it is proved that the simulating mechanism of parked vehicles based on the evolutionary game theory is effective, the replicator dynamic equation is obtained through analytic demonstration to solve an evolutionary stable strategy (ESS), and influencing factors of the ESS are analyzed.
Owner:DALIAN UNIV OF TECH

Initial value prediction iterative learning fault diagnosis algorithm of electromechanical control system

The invention discloses an initial value prediction iterative learning fault diagnosis algorithm of an electromechanical control system. According to the algorithm, an electromechanical control system model of the fault occurrence of an executer unit is firstly built; a discrete state space equation of an executer fault electromechanical control system is built; then, an iterative learning fault diagnosis algorithm is designed; the convergence and the threshold value selection conditions of the iterative learning fault diagnosis algorithm are further analyzed; finally, an initial value prediction algorithm is added in the iterative learning fault diagnosis algorithm; the real-time fault diagnosis on the executer unit of the electromechanical control system is realized. The initial value prediction iterative learning fault diagnosis algorithm has the advantages that the initial value prediction iterative learning fault diagnosis algorithm can reduce the influence of the prediction error of the front disperse sampling point faults on the subsequent sampling point fault diagnosis in the diagnosis process, so that the iterative times can be effectively reduced; the fault diagnosis efficiency is improved; the fault diagnosis structure is simple; various kinds of executer faults of the electromechanical control system can be detected and rebuilt; the engineering realization is easy; the real-time on-line diagnosis is convenient.
Owner:高邮市驿都小微企业服务管理有限公司

Method for controlling adaptive iterative learning of knee joints of lower prostheses

ActiveCN103750927AGood control requirementsReduce tracking errorProsthesisHuman bodyKnee joint movement
The invention discloses a method for controlling movement of knee joints of lower prostheses of human bodies, and particularly relates to a method for controlling adaptive iterative learning when human bodies with double-rigid-body and two-degrees-of-freedom lower prostheses walk on flat grounds. The method includes firstly, analyzing normal gait features of the human bodies and control requirements of the lower prostheses of the human bodies; secondly, kinetically analyzing the normal gait features of the human bodies and the control requirements of the lower prostheses of the human bodies by the aid of Newton-Euler algorithms and building a movement system model of the double-rigidity-body and two-degrees-of-freedom lower prostheses; thirdly, applying an algorithm for controlling adaptive iterative learning to the movement system model. Flow of the algorithm for controlling adaptive iterative learning includes describing problems; analyzing convergence; solving the boundedness of a first expression; solving the progressive increase property of a second expression; solving the progressive increase property of the first expression. The method has the advantages that knee joint movement tracking errors can be stably reduced within a certain time, and accordingly an excellent tracking effect can be realized.
Owner:HANGZHOU DIANZI UNIV

Construction method of coal mine informatization field system model based on RED-MOS

The invention provides a construction method of a coal mine informatization field system model. The construction method comprises the steps: constructing an RED-MOS mine industry Internet of Things operation system platform; through virtualization and cloud computing technologies, establishing mine industry Internet of Things end office cloud to support operating of all services of the RED-MOS mine industry Internet of Things operation system platform; based on the mining industry Internet of Things end office cloud, designing and building all system services of the RED-MOS mine industry Internet of Things operating system platform by adopting a core micro-service system architecture, wherein the core micro-service system architecture comprises a system core service, mine industry Internetof Things application scheduling and management, RED-Tool development and debugging tool chain and RED-streaming data processing and storage engine; through RED-MOS core micro-service system architecture, achieving the development, debugging, deployment, operation and monitoring of the upper-layer mining industry Internet of Things application.
Owner:华夏天信物联科技有限公司

Integrated navigation information fusion method based on interactive multiple models

The invention discloses an integrated navigation information fusion method based on interactive multiple models. The method comprises the steps that firstly, a GPS measurement subsystem is selected for algorithm measurement update; then a measurement vector of the measurement subsystem with the minimum fault detection value is selected to upgrade the interactive multiple models, a subsystem modelweight coefficient is calculated, the statistical characteristics of modeling noise of an equivalent system are calculated, and an equivalent system model is formed; measurement update of filter subsystems is carried out, and the state estimation of each filter subsystem is calculated; then a two-state propagation chi-square fault testing method is utilized to perform fault detection on the measurement subsystem and calculate the federated filter weight; combined with the state estimation and federated filter weight of each filter subsystem, the global state estimation and a corresponding estimation error covariance matrix are calculated; finally, global state estimation feedback is taken as an initial value for the next iteration. The integrated navigation information fusion method basedon the interactive multiple models can effectively select navigation measurement information, and reduces the navigation error generated by information fusion of multiple sensors.
Owner:NANJING UNIV OF SCI & TECH

Distributed control method considering time lag and packet loss problems in microgrid under CPS concept

The invention divides a microgrid control structure into a communication system and a physical system based on the concept of an information physical fusion system, and a novel distributed control strategy is proposed on this structure to improve a control effect of voltage and angular frequency by traditional droop control. Firstly, a microgrid communication system model is proposed based on graph theory knowledge, and communication structures of a plurality of single distributed power supplies form an integral communication system; secondly, in the communication system, a method combining areverse neural network and prediction control is proposed to solve the problem of communication time lag; a novel consistency protocol with a virtual navigator is proposed to solve the problem of packet loss; thirdly, in the physical system, P-omega / Q-U droop control is used as primary control of voltage and angular frequency; and finally, voltage and angular frequency data in the communication system and the proposed novel consistency protocol are utilized to complete secondary control of voltage and angular frequency output by droop control in the physical system, and the control strategy has a distributed cooperative characteristic.
Owner:YANSHAN UNIV

System and method for assessing cumulative effects of a failure in an aircraft

A failure-effect validation system (100) includes an effects modeler (104) configured to develop a cumulative effects (600) model for failure modes (302) of the complex system, and by which a model of the complex system is extendible to form an extended complex-system model. The effects modeler (104) is also configured to develop search targets each of which includes logical expressions of notable hazards (304) and other factors that contribute to the cumulative effects (600), such as crew workload (306), safety margin (606) and / or physiological effects (608). A model analysis system (106) is configured to perform an automated analysis using the extended complex-system model and search targets, and in which the automated analysis includes a graph search of possible states of the extended complex-system model to locate search targets. And the effects assessment system (108) is configured to selectively generate a layout of failure analysis data including at least a portion of the extended complex-system model and results of the automated analysis.
Owner:THE BOEING CO

System and method for providing expert advice on software development practices

A software development practices expert system and method is described. The expert system utilizes control systems engineering designs, as well as dynamic systems models to inform and guide the selection, assembly, composition, publishing and presentation, enactment, assessment, learning and analysis, refactoring, improvement and simulation of software development practices into approaches or methods to software development. The expert system collects software endeavor result data to correlate efficacy of software development practice usage, and to recalibrate dynamic systems models and control systems engineering design parameters. Such designs and models configure and improve an inference-based rule engine to provide advice to users contained within a rule repository and knowledge base.
Owner:SDE SOFTWARE DEV EXPERTS

Nerve self-adaptation tracking control method for power of fans in wind field based on disturbance observer

ActiveCN108717266ABest power outputEasy to trackAdaptive controlEngineeringWind field
The invention discloses a nerve self-adaptation tracking control method for the power of fans in a wind field based on a disturbance observer. The method includes the steps that 1, a systematic modelof the power of the fans is established; 2, a controller ui for controlling the maximum tracking power of the output power of the fans is designed as in the specification, and the self-adaptation lawis shown in the specification; 3, a calculated instruction obtained through the controller ui is input into a fan system, and the maximum output power for tracking the fans of the output power of thefans is controlled. According to the nerve self-adaptation tracking control method for the power of the fans in the wind field based on the disturbance observer, the controller can make the output power of the system better track an ideal maximum-power signal when mutual disturbance exists in the wind field, and it is ensured that the tracking errors of the system are approximate to zero.
Owner:青岛格莱瑞智能控制技术有限公司

Modeling method and system of radar simulation system

The invention provides a modeling method and system of a radar simulation system. A subsystem model is created, a subsystem is subjected to integrity check, after the subsystem is subjected to the integrity check, a new subsystem can be created, an input interface and an output interface which are not connected on a canvas are obtained, information is stored into a related data structure, then the related information is utilized to assign a certain value for the subsystem, and a relevant code is generated after it is confirmed that no fault exists and is written into an XML file; the subsystem model is added into a model library. Through the simulation system, simulation can be conducted on a computer, the work mechanisms and processes of a real system in different scenes are represented, therefore characteristics and performance of a system are solved, verified and evaluated, and due to the limit of time, energy and capital, problems cannot be achieved through actual probing or drills.
Owner:南京赛宝工业技术研究院有限公司

Control method for four-holding water tank system

InactiveCN104750127AAccurately describe the interactionComprehensive excellentLevel controlAutomatic controlDynamic models
The invention discloses a control method for a four-holding water tank system and belongs to the field of automatic control. A four-holding water tank is a typical hybrid system with constraint, and the mutation of the water tank structure and a switch of the a valve are discrete events. Continuous process and discrete events are integrated in a uniform framework through a modeling method for a mixed logic dynamic model, and the interaction between the discrete events and continuous dynamic process is described precisely; model predictive control for a four-holding hybrid system based on transverse 8 norm is designed, the field device control through MATLAB is finished through OPC communication, and the effect of a predictive control strategy in the MATLAB on an actual hybrid system is realized. The control method for the four-holding water tank system uses the modeling and control methods of hybrid system theory, and all the subsection models of the system are integrated to precisely describe the interaction between a model switch event and the continuous dynamic process; the predictive control based on the hybrid system model processes the control problem of the system with a lot of constraint conditions, and the continuous and discrete control for the system is optimal.
Owner:CHANGSHU RES INSTITUE OF NANJING UNIV OF SCI & TECH

Maritime search and rescue wireless sensing network synergic positioning method

The invention discloses a maritime search and rescue wireless sensing network synergic positioning method which comprises the following steps: S1, establishing a Lagrange model as a marine movement model of a node; S2, acquiring a synergic positioning system model of an unknown node on the basis of an unknown node state model described by an invisible markoff chain and a marine movement model and an observation model of the node, estimating posterior probability distribution by using a particle filter algorithm, and estimating the position of the unknown node according to the estimated posterior probability distribution; S3, improving a likelihood function in the particle filtering algorithm by using KL (Kullback Leibler) divergence, and reducing errors caused by sea wave shielding factors by optimizing parameters; and S4, introducing the likelihood function of the optimized parameters, updating confidence factors and iterative position estimation in a residual error-system resampling mode to alleviate degeneration of particles, and estimating the position of the unknown node. The method has the advantage that positioning errors caused by marine shielding effects and multipath effects on an offshore wireless sensing network are avoided.
Owner:SHANGHAI MARITIME UNIVERSITY

Product modeling method based on ecosystem model of product

ActiveCN105787159AAbility to reason independentlyPracticalArtificial lifeSpecial data processing applicationsEcosystem modelProduct modeling
The invention relates to a product modeling method based on an ecosystem model of a product. The concept of an ecosystem in the biology is imported in the product. The ecosystem model of the product comprises an environment, product individuals, product population and product community. The environment changes along with time and comprises factors directly or indirectly influencing the components of the product. The product individuals are single parts forming the product. The product population comprises parts with same structures and functions in the product. The product community comprises combination of population in the product for realizing a certain function. The method comprises following steps of (1), modeling the environment, the product individuals, the product population and the product community; (2), establishing the relationship network of the ecosystem model of the product, wherein the models in the step (1) and the relationship network form the ecosystem model of the product together. Compared with the prior art, the method has the advantage of intelligence.
Owner:TONGJI UNIV

Intelligent decision simulating experimental system based on multi-Agent technology

The invention relates to an intelligent decision simulating experimental system based on multi-Agent technology, belonging to the crossed field of computer simulation, artificial intelligence and management experiment, and being the breakthrough and the development of a management experimental methodology and an intelligent decision support system on the concept, the theory, the technology and the function. The system is a large-scale experimental platform for carrying out simulation assisted prediction and decision on discrete events in management activities of the real world. In the method,an isomerized Agent and the group collaboration thereof are creatively used as leading roles of transparent processing of a decision experiment and a system simulation, four functional sub-systems, four layers of Agent system structures and four types of local databases are established, and predictions and decisions of four simulating experimental methods are applied to unify a system module. Theinvention is based on an internet, synthetically uses several new technologies of cloud computing and the artificial intelligence, increases functions of games of strategy, machine planning, knowledge discovery and logic self-building, and has super experimental capability. The invention is a new way for developing the management experimental technology and the intelligent decision support system.
Owner:谢瑞

Hypersonic aerocraft Kriging control method based on equivalent model

The invention discloses a hypersonic aerocraft Kriging control method based on an equivalent model and belongs to the field of control over aerocrafts, and the method is used for solving the technical problem that the discrete adaptive control of an existing hypersonic aerocraft has difficulty in being realized in an engineering manner. The method comprises the following steps of: firstly converting a height subsystem model of a hypersonic aerocraft into a strict feedback form, and then establishing a discrete strict feedback form of an original system through an eulerian method; and considering the causal relationship of the system and establishing the equivalent model of the original system. The equivalent model can be used for making full use of future output and analyzing historical information of systematic uncertainty; the systematic uncertainty is popularized to a random field by utilizing a Kriging method, and better conforms to the actual condition, the constructivity predication can be carried out, online self-adapting adjustment on parameters is not required, and the method is convenient to implement; by virtue of nominal feedback and error feedback, a controller is designed according to a contragradience method strategy; the controller obtained by virtue of combination of the characteristics of computer control and model conversion can be used for effectively solving the non-causal problem; and the method is suitable for technical application.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

A multivariate data analysis method for dynamic system model verification

The invention relates to a multivariate data analysis method oriented to model verification of a multivariate dynamic system, belonging to the model verification field. The method comprises the following steps: 1, denoising and normalizing the original experiment data and simulation data through a wavelet packet denoising technology; 2, the normalized experimental data and simulation data being transformed from low-dimensional nonlinear space to high-dimensional linear space by a Gaussian kernel function; 3, dimensionality reduction of data in high-dimensional linear space; 4. error evaluationof dynamic response of each principal component, including phase error, amplitude error and shape error; 5, calculating the error scores of the phase, the amplitude and the shape, and calculating thecomprehensive scores of the principal components projected on the high-dimensional space experiment data and the simulation data aft the dimension reduction through the weight factors of the three kinds of errors; 6, determining the weighting factors of the comprehensive error score of each principal component to calculate the final score. The invention effectively processes the non-linear correlation between the data noise and each response of the system, and improves the data processing efficiency.
Owner:CHONGQING UNIV

A Product Modeling Method Based on Product Ecosystem Model

ActiveCN105787159BAbility to reason independentlyPracticalArtificial lifeSpecial data processing applicationsEcosystem modelProduct modeling
The invention relates to a product modeling method based on an ecosystem model of a product. The concept of an ecosystem in the biology is imported in the product. The ecosystem model of the product comprises an environment, product individuals, product population and product community. The environment changes along with time and comprises factors directly or indirectly influencing the components of the product. The product individuals are single parts forming the product. The product population comprises parts with same structures and functions in the product. The product community comprises combination of population in the product for realizing a certain function. The method comprises following steps of (1), modeling the environment, the product individuals, the product population and the product community; (2), establishing the relationship network of the ecosystem model of the product, wherein the models in the step (1) and the relationship network form the ecosystem model of the product together. Compared with the prior art, the method has the advantage of intelligence.
Owner:TONGJI UNIV

IPSO-extended-implicit-generalized-prediction-based servo system position control method

ActiveCN105159082AMeet the needs of actual industrial processesProgramme controlAdaptive controlAutomatic controlParticle swarm algorithm
The invention, which belongs to the servo system control field, relates to an IPSO-extended-implicit-generalized-prediction-based servo system position control method. The method comprises: position data of a servo system at all time are collected; according to the collected data, an implicit generalized prediction model of the servo system at current time is identified by using a least square method of an aided model; non-linear part identification of the system model is carried out by using a particle swarm algorithm according to the collected data as well as a prediction output value of the identified implicit generalized prediction model; on the basis of the current servo system position, position control of the servo system is carried out; and thus the servo system moves according to a predetermined track; and the step (1) is carried out again at next time. According to the invention, the control method belongs to the field of the automatic control technology; and requirements during the actual industrial process can be met.
Owner:HARBIN ENG UNIV

Equivalent statistical energy analysis modeling method for multi-subsystem variable-thickness flat plate

The invention provides an equivalent statistical energy analysis modeling method for a multi-subsystem variable-thickness flat plate, which belongs to the technical field of radiation noise and comprises the following steps of: establishing subsystem models with different thicknesses; calculating a lower limit frequency required by each subsystem with different thicknesses to meet statistical energy analysis; extracting modal densities of subsystems with different thicknesses; performing numerical addition on the modal densities of all the subsystems to obtain the modal density of the equivalent model; obtaining the lower limit frequency of the equivalent model through the modal density of the equivalent model; obtaining an equivalent model thickness through an equivalent model thickness determination formula and the equivalent model lower limit frequency; calculating dynamic characteristics of the two models before and after equivalence under the same excitation, and comparing simulation results; obtaining quivalent model volume attributes and material attributes, and establishing an equivalent model. According to the method, a multi-subsystem variable-thickness flat plate structure is equivalent to a single subsystem, and the lower limit frequency of statistical energy analysis is greatly reduced by utilizing a method of carrying out numerical superposition on modal density.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Method for quickly establishing non-rotational symmetry lighting system model

ActiveCN105868495AAutomatically and quickly generatedUniversalSpecial data processing applicationsMATLABDynamic Data Exchange
The invention discloses a method for quickly establishing a non-rotational symmetry lighting system model. The method comprises the steps of first utilizing a grid energy division principle to calculate point cloud data on the surface of a lighting system; establishing a channel between numerical analysis software Matlab and lighting simulation software TracePro through dynamic data exchange (DDE) communication, and transmitting the point cloud data to the TracePro; finally performing fitting on data points through TracePro macro languages, and utilizing sectioning to quickly form a solid model. The method has very high convenience and program ductility, the lighting system model designed according to the method can be generated automatically and quickly, and automatic optimization can be performed when a program module with respect to extension of iteration feedback of a light source lighting system is added.
Owner:JIANGNAN UNIV

A petri net model detection method based on msvl

The invention discloses a Petri net model detection method based on MSVL. Firstly, the existing modeling tool Workcraft is used to establish a Petri net system model, and then the model is converted into an equivalent MSVL program. For this reason, the invention provides respectively Three conversion methods guided by the sequential semantics, parallel semantics and maximum parallel semantics of the Petri net system; finally use the existing MSVL support tool MSV to simulate, model and verify the generated MSVL program. For the conversion method above, the present invention develops conversion tools PN3MSVL and PN4MSVL, so that the tool MSV can analyze and verify various semantics of the Petri net system. The invention solves the problem that the existing Petri net model detection method is difficult to fully verify the complete regularity of various semantic meanings.
Owner:XIDIAN UNIV

Long-period complex system fitness assessment method

The invention relates to a long-period complex system fitness assessment method, which is characterized in that internal interaction is divided into three hierarchical structures, i.e., a constructionbody layer, a component meta layer and a parameter layer, wherein the construction body layer is used for monitoring change and formulating a relevant action which relates to the change; the component meta layer is used for calling a method to carry out interaction on the construction body layer and the parameter layer; and the parameter layer is used for storing parameters and carrying out mathematical analysis. By use of the method, a change condition and parameters are input into an established long-period complex system model, a specific numerical value which is output to embody a changefitness degree is obtained according to the own attributes of the model, the specific analysis of a specific problem is combined according to the obtained output fitness degree, and therefore, the method can have a decision assistance function for determining whether the change is carried out or not.
Owner:CHANGCHUN UNIV OF SCI & TECH

A servo system position control method based on extended implicit generalized prediction of ipso

ActiveCN105159082BMeet the needs of actual industrial processesProgramme controlAdaptive controlAutomatic controlParticle swarm algorithm
The invention, which belongs to the servo system control field, relates to an IPSO-extended-implicit-generalized-prediction-based servo system position control method. The method comprises: position data of a servo system at all time are collected; according to the collected data, an implicit generalized prediction model of the servo system at current time is identified by using a least square method of an aided model; non-linear part identification of the system model is carried out by using a particle swarm algorithm according to the collected data as well as a prediction output value of the identified implicit generalized prediction model; on the basis of the current servo system position, position control of the servo system is carried out; and thus the servo system moves according to a predetermined track; and the step (1) is carried out again at next time. According to the invention, the control method belongs to the field of the automatic control technology; and requirements during the actual industrial process can be met.
Owner:HARBIN ENG UNIV

Methods and compositions for screening molecular function comprising chimeric minimotifs

Disclosed herein are novel compositions and methods for elucidating biological activity and detection of molecular function. The methods and compositions disclosed herein can comprise the use of one or more minimotifs and a minimotif database for integrating and coordinating orthogonal knowledge derived from a variety of technological endeavors to provide systemic models representing complex biological and molecular interactions ranging from individual cells to entire organisms. The methods and compositions disclosed herein can utilize information related to biometrics including protein / protein interaction, and gene / gene interaction for evaluating cellular functions and cellular mechanisms.
Owner:BOARD OF RGT NEVADA SYST OF HIGHER EDUCATION ON BEHALF OF THE UNIV OF NEVADA RENO

A method and device for obtaining self-service terminal questions

Embodiments of the invention disclose a method and a device for obtaining problems of a self-service terminal. The method comprises: layering a self-service terminal system according to operating environment; classifying each layer of resources of the self-service terminal system according to business requirements; dividing each kind of classified resources into suspicious items and non-suspicious items according to the problem the self-service terminal has; according to preset decreasing exclusion and / or increasing examination, obtaining the problem the self-service terminal has, the decreasing exclusion being used to obtain the problem the self-service terminal has according to a preset exclusion sequence, and the increasing examination being used to examine the problem the self-service terminal has according to a preset examination sequence, so as to make the self-service terminal system modeling. The model is resolved, and refined layer by layer, and a set of analysis process is made. Referring to the process, decreasing exclusion and increasing examination are performed, so that problems of the self-service terminal system can be analyzed in a systemic and process manner, and accuracy of analysis is improved.
Owner:南京怡化信息技术有限公司
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