85 results about "Maximum principle" patented technology

The invention discloses a fault positioning method for a transmission line and belongs to the technical field of power systems. The fault positioning method comprises the following steps: arranging a Rogowski coil-based broadband core-through traveling wave detection device on the high-voltage transmission line; acquiring a current traveling wave signal of a three-phase line; performing singular value detection by applying the phase mode conversion and wavelet mode maximum principle; accurately identifying the traveling wave line mode wave head, and accurately determining the wave head arrival time by using a GPS high-precision clock; and measuring the wave speed of real-time traveling wave mode on line according to different wave head time difference information to realize accurate fault positioning. The fault positioning method has the advantages of effectively avoiding two main factors influencing the traveling wave fault positioning precision, along with high positioning precision and accurate and reliable fault positioning result.

The invention provides a multi-robot path planning and coordination collision prevention method based on fuzzy logic. The method comprises the steps of confirming an input variable and an output variable of a fuzzy controller by setting up the fuzzy controller with robots as a system, using related languages to describe the input variable and the output variable of the fuzzy controller, confirming a qualitative reasoning principle according to the fuzzy control theory, setting up fuzzy control rules according to input signals and output signals of the fuzzy controller, selecting a subordinating degree function of each input language variable and a subordinating degree function of each output language variable, finally, conducting defuzzification, conducting voting on the basis of the maximum principle of the subordinating degree functions, conducting corresponding motions on the robots, and completing the task for planning a path of a single robot. On the basis of the method, the other robots are regarded as dynamic front barriers, and the aim of coordination collision prevention of the multiple robots can be achieved.

The invention discloses a photovoltaic power station output predicting method based on the optimal similar day set. The photovoltaic power station output predicting method includes steps of 1) subjecting historical data to exception handling; 2) normalizing weather types and solar irradiance as characteristic vectors of similar output level days and clustering the same for analysis through cluster algorithm and determining the final similar output level day set; 3) selecting photovoltaic generation output power as characteristic vectors of similar curve-shape days, normalizing the photovoltaic generation output power and then clustering the same for analysis through the cluster algorithm so as to obtain classification results of different cluster numbers, and finally determining a final similar curve-shape day set; 4) acquiring the type which predicting days belong to according to the maximum principle of coefficient of association; 5) constituting the optimal similar set; 6) utilizing the optimal similar set as input and establishing an output predicting model to predict photovoltaic power of the predicting days. The photovoltaic power station output predicting method can accurately predict by selecting a history data with the highest correlation with a predicting day and is simple and feasible, and accuracy in prediction of the photovoltaic generation output power is improved.

The invention discloses a fuzzy comprehensive evaluation-based distribution automation terminal state evaluation method and system. The method comprises the following steps of: detecting and determining a state quantity of a distribution automation terminal, establishing a distribution automation terminal state evaluation system according to the state quantity of the distribution automation terminal, determining weight set W of an index corresponding to each state quantity in the state evaluation system, and setting a state evaluation set V which comprises each state level; calculating a fuzzy membership function, corresponding to each state level of the distribution automation terminal of the index, of each state quantity, and constructing a fuzzy comprehensive evaluation matrix R according to a membership degree calculated by the fuzzy membership function; and combining the obtained weight set W of the indexes corresponding to the state quantities and the fuzzy comprehensive evaluation matrix R, and determining a corresponding state level of the distribution automation terminal in the state evaluation set V according to a membership degree maximum principle. According to the method and system disclosed by the invention, the states of the distribution automation terminals can be reflected more correctly, the distribution automation terminals can be evaluated more comprehensively, and relatively high operability is provided.

A non-invasive method for measuring intracranial pressure (ICP) is provided. A numerical model such as finite element model is developed in order to calculate the ICP, strain or stress for patients who suffers from hematoma, edema or tumor. The method can further provide local maximum principle strain that can provide information about possible subsequent brain injury, such as diffuse axonal injury, in sensitive region of the brain. Based on computer tomography or magnetic resonance images an individual diagnosis and treatment plan can be formed for each patient.

The implementation mode of the invention provides a time and frequency synchronization method in a wireless communication system, which comprises the steps of carrying out the symbol timing estimation and the fine frequency estimation on received signals based on the Orthogonal Frequency Division Multiplexing (OFDM) technique; carrying out the timing estimation on the Packet Switching Service (PSS) through the matched filtering of the received signals; determining at least two continuous OFDM symbols as candidate OFDM symbols containing the PSS; shifting the candidate OFDM symbols compensated by the fine frequency estimation into a frequency domain; carrying out the cyclic shift channel estimation on the corresponding sub-carriers of each candidate OFDM symbol of the at least two candidate OFDM symbols; shifting the cyclic shift channel estimation result of each candidate OFDM symbol into a time domain; figuring out the energy value of each sampling point according to the time-domain channel impulse response of each integer-frequency-offset value; and determining the OFDM signals containing the PSS and the calculated value of the integer-frequency-offset value based on the energy maximum principle.

The invention discloses an optimal orbital transfer method of a low-earth-orbit satellite under a limited thrust by taking J2 perturbation into consideration, relates to the optimal orbital transfer method of the low-earth-orbit satellite, and belongs to the field of aerospace. The optimal orbital transfer method comprises the following steps of: establishing a dynamic equation of a spacecraft by taking the J2 perturbation into consideration; solving a Hamiltonian function H corresponding to an optimal fuel consumption performance index according to the states of the spacecraft at the beginning and the end; solving an optimal control rate and a corresponding covariance equation according to a pontryagin maximum principle; constructing a two-point boundary value problem shooting equation set meeting the optimal fuel consumption according to an optimal control condition of a variational method; solving the two-point boundary value problem shooting equation set according to the states of the spacecraft at the beginning and the end as well as the flight time to obtain the optimal control rate formed by an optimal thrust control direction and an engine switching function; and controlling the orbital transfer of the satellite by using the control rate, so that the real-time performance and the orbital transfer precision in the transfer process of the low-earth-orbit satellite can be increased, and the fuel consumption required for the orbital transfer is reduced. The optimal orbital transfer method disclosed by the invention is suitable for the orbital transfer process of the low-earth-orbit satellite when a limited thrust model is adopted by an engine.

The invention discloses a method for obtaining parity check matrix of rate-compatible low-density parity-check codes, comprising the following steps of: selecting a mother code matrix and determining the size of a basic extension matrix; dividing the basic extension matrix into six sub-matrixes (see the formula at right side); according to a minimum ring maximum principle, respectively determiningthe value of each sub-matrix; subsequently combining each sub-matrix to form the basic extension matrix; finally correcting the obtained basic extension matrix by using a current extension factor z and extending the corrected basic extension matrix by using a matrix P with the size of z*z, thus obtaining a parity check matrix; and using the parity check matrix to carry out the LDPC coding to thedata to be coded. When the method and the coder are applied,on one hand, the rate compatibility can be realized; on the other hand, as the minimum and maximum principle is adopted to determine the value of each sub-matrix in each basic extension matrix, the decoding performance can be improved compared to the LDPC codes realizing rate-compatibility by a punching way.

The invention relates to a method for calculating pressure of passive lateral rocks for jointed rocks on an outwardly-inclined bedding slope, pertaining to the technical field of rock pressure analyses in rock and soil mechanics. The method comprises following steps: dispersing bedding joint rocks based on joint surfaces into rigid rocks in a definite number by taking jointed rocks on the outwardly-inclined bedding slope as an object of study; taking pressure of passive lateral rocks as an objective function and shearing force and normal force of joint surfaces as unknown quantities based on a Pan Jiazheng maximum principle to create an equilibrium equation satisfying damaged rocks, yield conditions of joint surfaces, and yield conditions of contact surfaces for rocks and supporting structures; and solving them to obtain the maximum limit value for passive lateral rocks for jointed rocks the an outwardly-inclined bedding slope. The method for calculating pressure of passive lateral rocks for jointed rocks on the outwardly-inclined bedding slope has following beneficial effects: the method is accurate in concept, high in calculation precision, and easy and convenient in engineering application and can be applied to design of structures for retaining walls on jointed rock slopes, slide-resistant piles and pile-anchor supports.

The invention relates to a method for segmenting a sulus region on the surface of a pallium of a three-dimensional cerebral magnetic resonance image. The technical characteristics lie in that firstly, the 3D cerebral nuclear magnetic resonance image is pretreated and the surface of the pallium is reconstructed, including removing a braincase and non-cerebral tissues; carrying out cerebral tissue segmenting on a cerebral image and reconstructing the surface of the pallium of geometrical accuracy and correct topological structure in the segmented cerebral image; the surface of the pallium is shown by a series of vertexes and triangles; secondly, the maximum principle curvature and the minimum principle curvature of each vertex on the surface of the pallium are estimated; and finally, sulus and gyrus regions are segmented on the surface of the pallium according to the maximum principle curvature and Hidden Markov Random Field expectation maximization framework and each sulus region is marked by connectivity analysis. Compared with other methods, the method has the advantages of simple and effective algorithm and high segmentation accuracy.

The invention relates to an analysis technology in comprehensive consideration of fresh water input need of different ecological functions of lake ecological systems.. In the analysis technology, lakeecological water need functions are divided into an ecological function, an environment function and a production function, and further, lake ecological need water is divided into 9 types, includingevapotranspire water need quantity, leakage water need quantity, aquatic organism and habitat need water, lake out surface runoff need water, lake out subsurface runoff need water, energy production need water, self-purification need water, shipping need water and landscape recreation need water. The water resource function coefficient is determined according to the difference of a maximum principle and a lake management target, and the lake ecological water need quantity under multi-target requirement is determined finally, the requirements on lake ecological system production, life and ecological comprehensive water need are met, and the problem that the water need requirement for the integral ecological system is difficult to provide because of single original lake ecological need water computation target is solved.

The invention provides a post-evaluation method for comprehensively evaluating power grid science and technology projects. The post-evaluation method includes the following steps of step one, firstly establishing an index set U=(u<1>, u<2>...u<n>) and a judgment set Q=(q<1>, q<2>...q<m>); step two, calculating a comprehensive membership vector using an operator of a generalized fuzzy synthetic operation, and obtaining an ultimate evaluation result according to a membership degree maximum principle. By means of the post-evaluation method, professional experience of industry experts is considered, and subjective judgment with large deviation is avoided, so that arrangement of index weighting is more accurate; during a multi-stage fuzzy comprehensive evaluation process of the power grid science and technology projects, acquiring of index data is normalized by subdividing content options of ground layer indexes, standards for multi-stage fuzzy comprehensive evaluation are unified, and accuracy of evaluation results is guaranteed.

The invention relates to the field of neural network technical methods, in particular to a road network sub-region division and evaluation method based on Canopy + Kmeans clustering, which takes real-time acquisition of road section center latitude and longitude, road section average speed and road section average density as sample data, and comprises the following specific steps: (1) carrying outdata preprocessing; determining a plurality of Canopy and Canopy center points by adopting a Canopy algorithm based on the minimum and maximum principle; (2) after the step (1), carrying out Kmeans secondary clustering; collecting Canopy center points in the step (1), wherein the number of the Canopy center points is the K value of the Kmeans algorithm; and (3) after the step (2), respectively calculating Euclidean distances from each data point to K clustering center points, and dividing the Euclidean distances into a cluster with the minimum distance to form a new cluster. The road networksubarea division method based on a Canopy-Kmeans clustering algorithm is provided by taking road section center longitude and latitude, road section average speed and road section average density which are acquired in real time as sample data, so that the defects of the Kmeans algorithm are overcome.

The invention relates to a method for identifying abnormity of state parameters of a wind turbine generator based on fuzzy comprehensive evaluation. The method comprises the following steps: S1, obtaining the mean absolute error of a test sample according to a selection result of a state parameter generalized fuzzy abnormity identification model so as to obtain weights of various prediction models; S2, realizing state parameter prediction in a time interval to be analyzed through the various prediction models; S3, realizing condition analysis of state parameters through the residual error of the various predication models so as to obtain residual error abnormity indexes of various models; S4, calculating fuzzy membership degrees of various indexes to form a fuzzy evaluation matrix, and calculating an output layer evaluation value; and S5, inputting an evaluation result according to the membership degree maximum principle, and taking a corresponding comment as the evaluation result. The method disclosed by the invention is based on SCADA data of a wind power plant; the method is easy in programming realization; abnormity of parameters can be reflected accurately and effectively; and the identification accuracy of abnormity of the state parameters can be increased by comprehensively considering the abnormity identification results of the plurality of prediction models.

The invention discloses a high-speed train automatic driving energy-saving optimization method based on a maximum principle. The method comprises the steps: firstly building an operation model of a high-speed train according to the mechanical and kinematic characteristics of the high-speed train in an operation process, and obtaining an optimization function of the energy-saving operation of the high-speed train; secondly, constructing a Hamiltonian function according to the principle of the maximum value of the numerous and numerous Delisia gold, and analyzing, solving and analyzing a drivingstrategy of energy-saving operation of the high-speed train; secondly, calculating the running time of the high-speed train according to the traction characteristic curve, the kinetic equation and the driving strategy of the train; finally, the obtained time is compared with standard time, if the obtained time is larger than the standard time, the cruise time is increased properly, otherwise, theinertia time is increased until the total running time reaches the range of the standard time, an energy consumption value is output, and energy-saving automatic driving of the high-speed train is achieved. The method disclosed by the invention can achieve the purpose of energy saving optimization on the premise of ensuring accurate parking, punctuality and comfort.

The present invention relates to the tunnel engineering field, especially to a tunnel operation state division method based on big data clustering analysis. The tunnel operation state division method based on big data clustering analysis is suitable for the dynamic changing requirements of a tunnel state operation state and provides accurate prediction. The method comprises the steps: 1) performing a tunnel operation monitoring experiment, and obtaining the multi-dimensional space of a road tunnel operation state; 2) performing preprocessing o a monitoring sample data set, determining whether the monitoring sample data set comprises missing values and noise data or not, and performing rejection of all the abnormal data; 3) calculating the outline coefficient of any one sample xi of a sample set comprising k clusters through division to calculate the average outline coefficient Sk of all the samples n in different clusters and identify that the corresponding k value when the Sk is maximized is the number of optimal state classification of the tunnel operation state; 4) presetting the number of the clusters as k, applying the FCM algorithm to perform clustering analysis of the tunnel operation monitoring sample data set, and obtaining the degree of membership of the k clusters and k cluster centers of all the samples; and 5) according to the maximum principle of the degree of membership, determining the operation state category corresponding to each tunnel operation monitoring sample.

The invention provides a network health degree testing method and a network health degree testing system. The method comprises the following steps of: acquiring multiple characteristic values of a network; setting preset health degrees for characteristic combinations of the characteristic values respectively; calculating the maximum entropy value of each characteristic combination based on the maximum entropy principle; and taking the preset health degree of the characteristic combination corresponding to the maximum entropy value as the health degree of the network. The sorting operation state of the current network is obtained aiming at the operation characteristic of the current network by acquiring the conventional network states and using the maximum entropy principle and finally revealed in a form of health degree, so that evaluation of the network health degree is realized, subjectivity and inaccuracy of human evaluation are overcome, and the problem of difficult human evaluation under the complex network condition is solved.

The invention discloses a temporary plugging diverting method for achieving liquid-solid-liquid phase conversion by means of a natural geothermal field. The temporary plugging diverting method for achieving liquid-solid-liquid phase conversion by means of the natural geothermal field comprises the steps that (1) the horizon of a reservoir needing temporary plugging is determined, and whether the reservoir needing temporary plugging is a crack or hole is determined; (2) the diversion plugging strength of the temporarily plugged reservoir is larger than or equal to the difference between the maximum principle stress and the minimum principal stress of the stratum is determined; (3) the plugging capacity of the horizon of the temporarily plugged reservoir and the crack or the hole are testedthrough flowing experiments of a core and the crack or pipe flow, and the use amount of a temporary plugging diversion system is worked out; (4) according to the distribution curve of the temperatureof liquid in an oil pipe in a shaft, the peak of bottom hole temperature is obtained; (5) an appropriate temporary plugging diversion system is determined; (6) the use amount of displacing liquid is determined, wherein the use amount of the displacing liquid is larger than or equal to the sum of the volume of the shaft and the volume of a liquid infusion pipeline; (7) site operation is organized.According to the temporary plugging diverting method for achieving liquid-solid-liquid phase conversion by means of the natural geothermal field, liquid is infused into the plugged reservoir, the plugged rack and the plugged hole to achieve effective plugging, liquid-solid-liquid change is achieved by means of the natural geothermal field, the requirements of the temporary plugging diversion technology are met, extra addition of gel breaker is not needed, and the application range is wide.

The invention relates to a method for evaluating a manipulation comfort level of an automobile clutch based on a fuzzy association theory. An objective detection device is used for collecting main performance parameters of a clutch manipulation process and an operation simulation system is used for restoring an operation environment of real driving to the greatest extent; and a data processing and analyzing system is used for analyzing detected objective data and calculating a corresponding comfortableness evaluation grade of the clutch. When the clutch is tested in the operation simulation system of a real automobile, a testing person treads a pedal of the clutch and objective performance parameter samples of one group of the clutches are obtained by the objective detection device. The data processing and analyzing system is used for utilizing a membership grade function to calculate the membership grade of each index of the samples to each evaluation grade according to a parameter variation range of each grade; then the weight of samples is combined and a clear comprehensive judgment is used as reference, so as to calculate a grey correlation degree of the samples corresponding to each grade; and the comfort level grade of the test sample clutch is determined according to the maximum principle.

The invention provides a navigation method of an electric power inspection robot. The navigation method comprises the steps that a fuzzy controller for movement of the electric power inspection robot is established, and the input variable and the output variable of the fuzzy controller are determined; a fuzzy set of the input variable and the output variable is set, and a fuzzy set of the acceptance level of the output variable is set; a qualitative reasoning principle is determined according to a fuzzy control theory, and a fuzzy control rule is established according to the input variable and the output variable of the fuzzy controller; the subordinating degree function of the input variable and the output variable is established; voting is conducted according to a subordinating degree function maximum principle, corresponding action is conducted on the electric power inspection robot, and navigation to the electric power inspection robot is achieved. A practicable navigation method can be provided for the electric power inspection robot, and the obstacle avoidance rate of the electric power inspection robot can be improved.

A testing method of bending stress and a testing apparatus thereof are provided. The method includes the following steps. A stress distribution model of a structure to be tested is built. Next, a testing sample of the structure to be tested is provided, and a force is applied on two ends of the testing sample to bend the testing sample till it breaks at a breaking point, so as to obtain a first distance between the two ends of the testing sample when the testing sample breaks, or a second distance from the breaking point to a closer end of the two ends. Next, a maximum principle stress value of the stress distribution model or a break point principle stress value at the breaking point of the stress distribution model is obtained according to the first distance or the second distance.

The invention relates to the electric vehicle power assembly design field, to be specific, relates to an electric vehicle traction motor design parameter verification method. The electric vehicle traction motor design parameter verification method comprises (1) arrangement of a uniform motion calculation module and an accelerated motion calculation module; (2) arrangement of a highest speed calculation module, a common speed calculation module, and a maximum gradient calculation module; and arrangement of an accelerated motion condition calculation module; (3) arrangement of a verification module; (4) selection of verification values according to a maximum principle. The electric vehicle traction motor design parameter verification method has advantages of simple process, comprehensive verification, and reasonable result.

The invention discloses a damsite flood restoration method based on a Copula function. A joint distribution function of damsite peak flow before a reservoir is built, computative reservoir-in peak flow and peak flow time is constructed according to the Copula function, a joint distribution function of damsite flood volume, commutative reservoir-in flood volume and peak occurring time is constructed, a most probable value function of the damsite peak flow and the damsite flood volume is derived on the basis of the conditional probability density maximum principle of the joint distribution function, reservoir-in flood data after the reservoir is built is substituted into the most probable value function, a most probable value of the damsite peak flow and the damsite flood volume is solved, and therefore reservoir-in flood volume process data after the reservoir is built are restored to damsite flood. According to the damsite flood restoration method based on the Copula function, a strong statistic basis is achieved, the compound mode of the damsite flood and reservoir-in flood is unique, and the characteristics of an actual measurement sample can be objectively reflected; the internal relatedness among all the characteristic quantities are fully considered, and a reference basis which is important and strong in operability can be supplied to the reservoir to restore the damsite flood according to the reserivoir-in flood data.

The invention relates to a method for segmenting a sulus basin on the surface of a pallium of a three-dimensional cerebral magnetic resonance image. The technical characteristics lie in that originally messy principle direction fields are dispersed on the surface of the triangularized pallium to generate a biggest smooth principle direction flow field. The core concept of the biggest principle direction dispersion is as follows: an energy function is minimized in the sulus and gyrus regions, wherein the absolute value of the maximum principle curvature is big and the generated biggest principle direction flow field is close to the original principle direction field; in other flat pallium regions, the generated biggest principle direction flow field changes smoothly. Compared with other methods, the method has the main advantage that the tracking method of the biggest principle direction flow field can fully utilize the geometry structure information of the surface of the pallium and can naturally form accurate boundaries among sulus basins although the sulus basins are possibly of asymmetrical structures.

Main parameters of domestic and overseas shale gas compressibility evaluation methods are analyzed and summarized, the high-temperature, high-pressure and high-plasticity characteristics of a deep shale gas layer are combined, and deep shale gas compressibility comprehensive evaluation parameters are optimized mainly from the aspects of geology and engineering factors; the influence of formation confining pressure and rock anisotropy on parameters is fully considered, and a calculation method of compressibility evaluation parameters is formed; a fuzzy grey correlation analysis method is used; analyzing the correlation between the compressibility index curve and the crack complexity index curve of different weight combinations; the weight combination is optimized according to the maximum principle of the correlation coefficient, a compressibility comprehensive evaluation mathematical model is established, a deep shale gas compressibility comprehensive evaluation method is formed, and the method has guiding significance for the fracturing parameter optimization design of the deep shale gas for improving the crack complexity.

The invention discloses a city CA model establishment method based on a maximum entropy principle. The method comprises the steps that two-stage land utilization grid data is acquired and reclassified; the classified data is superimposed to obtain a city land utilization increase range, and random sampling and coordinate calculation are conducted in the range to obtain sample point data; a space variable influencing city land utilization extension is processed, and a result is used as a classification model constraint condition; a sample point and the constraint condition are used for model training to obtain a classification model with the maximum conditional entropy; a land utilization matrix and a cell corresponding to a matrix element are established, a space coordinate of the cell isinput into the model, the conditional probability of each cell classified as urban land under influence of the constraint condition is obtained and used as the CA model cell transition probability, and a city extension CA model is established on the basis of the CA model cell transition probability and in combination with neighborhood constraint. According to the method, the CA model with the maximum entropy is established and applied to urban land extension simulation, the randomness problem is considered, and the method helps to more precisely simulate city development.

The invention relates to a fault voting line selection method by using Prony relative entropy. The method comprises that when a bus zero sequence voltage instantaneous value is 0.15 times larger than a nominal voltage, a fault line section device is immediately started, a Prony method is adopted for matching a transient state zero sequence current signal in a first T / 4 cycle of each branch circuit after a fault; transient state dominant component of superficial characteristics fault characteristic information is selected according to a amplitude maximum principle; and then, transient state dominant component relative entropy of each branch circuit relative to other branch circuits is obtained; and finally, the fault voting line selection mechanism adopting preliminary voting, k value checkout, and final voting are put forward to vote for each branch circuit, so that a faulty line is selected. Theoretical analysis and a large number of simulations indicate that fault voting line selection method can effectively avoid influence of current transformer flux density saturation to line selection, and can greatly improve reliability of fault line selection results.

The invention provides a multi-task cooperative spectrum sensing method based on a Stackelberg game, which comprises the following steps: constructing a multi-task cooperative spectrum sensing systemmodel based on a Stackelberg game, and respectively modeling a fusion center and a secondary user as a leader and a slave; determining a secondary user set participating in the perception task of eachfrequency band; for any task in the frequency band set and the secondary user set in which the frequency band participates, the fusion center issuing initial reward; calculating the utility of a secondary user, and determining the perception time based on a utility maximum principle; the secondary user performing frequency band perception within the perception time and transmits perception data to the fusion center; calculating the effectiveness of the fusion center, and updating the reward according to the maximum effectiveness principle until the effectiveness value of the fusion center isunchanged to obtain a final judgment result. According to the method, in a leader game, a fusion center issues an optimal reward value to a secondary user. In the slave game, the influence of the residual energy on the secondary user is emphatically considered, and the secondary user changes the perception time under the reward to obtain the optimal effectiveness.

Disclosed herein is a method for determining a trajectory for a transfer of a spacecraft from a starting space body to a target space body with respect to a given central space body, wherein the determined trajectory is optimal with respect to a given space mission requirement to be met by the transfer of the spacecraft. The method -comprises providing, according to the Pontryagin maximum principle, a physical-mathematical model relating model quantities and physical quantities representing the transfer of the spacecraft with respect to the given central space body.

The invention discloses an optimal linear quadratic Gaussian control method for a discrete system and particularly relates to a linear quadratic Gaussian control technology. The method is based on a discrete time optimal linear quadratic Gaussian (LQG) control problem of multi-time-lag and state / control related noise. The method comprises the following steps of deriving a maximum principle of a linear quadratic Gaussian system with multi-time-lag and state / control related noise by using a variational method, obtaining a solution of forward-backward reverse stochastic differential equations (FBSDEs) composed of an adjoint equation and a balance condition through a mathematical induction method, based on the solution of the FBSDEs, sufficient necessary conditions for THE existence of an optimal linear quadratic Gaussian controller are given, and an explicit solution and a minimum quadratic performance index of the optimal controller are obtained.