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54 results about "Equilibrium solution" patented technology

An equilibrium solution is a solution to a d.e. whose derivative is zero everywhere. On a graph an equilibrium solution looks like a horizontal line.

Unloading task allocation method of mobile edge computing system based on double-layer unmanned aerial vehicle

The invention discloses an unloading task allocation method of a mobile edge computing system based on a double-layer unmanned aerial vehicle. The mobile edge computing system comprises two high-altitude platform unmanned aerial vehicles provided with mobile edge computing servers and a plurality of low-altitude platform unmanned aerial vehicles, and the two high-altitude platform unmanned aerialvehicles are used for executing computing tasks unloaded by the low-altitude platform unmanned aerial vehicles; the unloading task allocation method comprises the following steps: modeling calculationtask unloading allocation problems of the low-altitude platform unmanned aerial vehicle and the high-altitude platform unmanned aerial vehicle through a game, and establishing a utility function of the upper-layer high-altitude unmanned aerial vehicle and a cost function of the lower-layer low-altitude platform unmanned aerial vehicle based on the price; and solving an equilibrium planning problem with equilibrium constraints obtained after modeling: on the basis of a strategy of fixing an upper-layer leader, firstly solving an equilibrium solution of an optimization problem of a plurality ofusers at a lower layer of the game, and then solving an equilibrium solution of a plurality of unmanned aerial vehicle base stations at an upper layer. The problems existing when an existing unmannedaerial vehicle executes calculation-intensive and delay-sensitive tasks are solved.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Network optimal defense strategy selection method and device based on bounded rational game theory

ActiveCN108833402AObjectively reflect randomnessObjectively reflect diversityTransmissionTheoretical computer scienceArtificial intelligence
The invention belongs to the technical field of network security and particularly relates to a network optimal defense strategy selection method and device based on a bounded rational game theory. Themethod comprises the following steps: constructing an offensive and defensive game model in a bounded rational situation according to the bounded rationality of the actual offensive and defensive sides; a random optimal reaction dynamic differential equation of a participant selection strategy is established by setting a participant rationality degree parameter in combination with an offensive and defensive game strategy set and according to historical data; the two simultaneous offensive and defensive parties are treated as the random optimal reaction dynamic differential equation of the participant; and an optimal defense strategy is determined and output by solving and screening a stable equilibrium point. Compared with the method of only giving an equilibrium solution and not analyzing the Nash equilibrium formation process, the network optimal defense strategy selection method and device based on bounded rational game theory in the present invention analyze the dynamic evolutionprocess of the bounded rational evolution game equilibrium, and the utility and the guiding significance are stronger when being applied to network defense decision; the dynamic analysis efficiency ofstrategy selection can be improved; and the network security performance is further improved.
Owner:PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU +1

Mobile target defense decision selection method, device and system based on Markov time game

The invention belongs to the technical field of network security, and particularly relates to a moving target defense decision selection method, device and system based on a Markov time game, and themethod comprises the steps: building a moving target attack and defense strategy set; analyzing a moving target defense process based on the Markov time game, and constructing a Markov time game moving target defense model; and carrying out equilibrium solution on the Markov time game moving target defense model, and determining an optimal strategy in the confrontation process of the Markov time game moving target defense model. On the basis of analyzing a moving target attack and defense process, a Markov time game model is constructed, a target criterion function of a moving target defense game is designed based on discount total revenue, and multi-stage attack and defense game quantitative analysis is realized; designing a multi-stage optimal defense strategy selection algorithm based on nonlinear programming multi-stage game equilibrium calculation; further, experimental research results show that the confrontation process can be effectively described, the optimal strategy can be correctly selected, the implementation accuracy of moving target defense can be ensured, and network security management personnel can be helped to make a better decision.
Owner:PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU

Path tracking and stable controlling method for intelligent automobile in limiting condition

ActiveCN110588633AImproved longitudinal speed tracking capabilityImprove path tracking accuracyTurn angleFeedback control
The invention discloses a path tracking and stable controlling method for an intelligent automobile in a limiting condition. The path tracking and stable controlling method comprises longitudinal control, transverse control and stability control. The longitudinal control adopts feedforward control and feedback control, and the feedforward control obtains a feedforward longitudinal force accordingto an acceleration of the automobile; the feedback longitudinal control controls a relationship between a slip rate and a slip angle to obtain a feedback longitudinal force; then a total longitudinalforce is obtained by the feedforward longitudinal force and the feedback longitudinal force, and then a throttle percentage of the automobile and a pressure of a braking main cylinder are obtained bythe total longitudinal force, so that the limiting condition of an adhesive force of a tire is utilized fully; the transverse control adopts self-adaptive model prediction control; and the stability control applies a game control method to game the longitudinal force and trace tracking control and transverse stability control to obtain equilibrium solutions of an additional yawing moment, a frontwheel turning angle and a longitudinal force and optimize a movement velocity and the front wheel turning angle of the automobile in a curve moving process. The path tracking and stable controlling method can enhance the transverse stability of the automobile while improving the trace tracking precision.
Owner:JIANGSU UNIV

Power market equilibrium solution method based on two-layer particle swarm optimization algorithm

The invention discloses a power market equilibrium solution method based on a two-layer particle swarm optimization algorithm. The power market equilibrium solution method based on the two-layer particle swarm optimization algorithm includes the steps of (1) constructing a power producer main energy quotation strategy and an ISO (international organization for standardization) market clearing model based on the rules of single-time power market bidding; (2) constructing an Nash fitness calculation function for a bidding strategy combination of power producers; (3) searching for possible strategy combinations of the power producers through an outer particle swarm optimization algorithm, solving the Nash fitness of each strategy combination according to the Nash fitness calculation functionand combined with an inner particle swarm optimization algorithm and an interior point method, and then solving and acquiring an Nash equilibrium strategy combination as a power market optimal strategy via corresponding Nash fitness for each strategy combination. The power market equilibrium solution method based on the two-layer particle swarm optimization algorithm has the advantages of avoidingsemi-smooth nonlinear equations formed for solving double-layer optimization of the power generators through the use of particle swarm optimization algorithm to search for equilibrium solutions, andsimplifying the algorithm at the cost of time under the premise of ensuring accurate results.
Owner:JIANGSU ELECTRIC POWER CO +2

Malicious crawler defense strategy selection method for Web server

The invention belongs to the technical field of network information security, and specifically relates to a malicious crawler defense strategy selection method for a Web server. The logical architecture of the invention comprises the Web server and a crawler, and the method comprises the following steps: calculating the benefit and cost of the Web server and the crawler; based on dynamic games of incomplete information, calculating an equilibrium solution of a game model, that is, calculating the expected revenue of the web server when adopting a defense strategy and the expected revenue when adopting a non-defense strategy, when the two revenues are equal, then a critical point when the server selects the defense or non-defense strategy is obtained; based on repeated games of incomplete information, calculating the equilibrium solution of the game model, that is, calculating the revenue obtained when the crawler adopts a normal access behavior before a certain moment, and the revenue obtained when the crawler respectively adopts a malicious access behavior and the normal access behavior thereafter; and when the latter revenue is larger than the former revenue, the crawler does not adopt the strategy of the malicious access behavior; and a game parameter satisfying the condition is the optimal choice of a server strategy.
Owner:FUDAN UNIV

Regional distributed energy network design and optimization method based on master-slave game

PendingCN110569556ARealize the designGame analysis results are accurateForecastingMachine learningSimulationHeat load
The invention relates to a regional distributed energy network design and optimization method based on a master-slave game, and the method comprises the following steps: S1, building an energy stationutility function at an energy station side according to a distributed energy station energy selling income function and a distributed energy station cost function; S2, establishing a user satisfaction function at a user side, and establishing a user side utility function according to the user satisfaction function; s3, establishing a master-slave game model of the regional distributed energy stations and the energy users according to the energy station utility function and the user side utility function; s4, setting an operation constraint condition of the energy internet; and S5, performinginteractive game optimization on the master-slave game model in combination with an operation constraint condition to obtain the optimal energy price of the energy station. Compared with the prior art, the method has the advantages that the cold load and the heat load in the distributed energy system are fully considered, the complete time periods among the participants are selected for gaming, the type selection investment of the function side equipment is fully considered, and the gaming equilibrium solution is more accurate.
Owner:SHANGHAI UNIVERSITY OF ELECTRIC POWER

A microgrid stability control method based on bifurcation theory

InactiveCN109066784AAccurately describe dynamic characteristicsDescribe dynamic propertiesSingle network parallel feeding arrangementsMicrogridState space equation
The invention discloses a microgrid stability control method based on bifurcation theory, which comprises the following steps: according to the microgrid circuit structure and the electrical relationship, respectively establishing the state equations of each distributed power source, a transmission line and a load; by Considering the frequency difference between DGs and between DGs and large powergrids, establishing a unified state space equation of micro-grid considering the output difference of DGs; Under the unified state space equation, determining the dominant factors affecting the stability of microgrid; Based on the bifurcation theory, when the dominant factors change, enabling the equilibrium solution of stable operation state of micro-grid popular, and then determining the boundary conditions of stable operation of micro-grid. The invention accurately describes the dynamic characteristics of the system, and makes up for the deficiency that the small disturbance analysis method can only be adopted in the current research. By detecting whether the bifurcation point occurs when the parameters of the system change, the condition of stable operation of the system is determined, and the limitation of stability control method in analyzing the stability of high-order system is solved.
Owner:HUAZHONG UNIV OF SCI & TECH +3

Method for obtaining reservoir group multi-objective scheduling risk analysis optimal equilibrium solution

The invention discloses a method for obtaining a reservoir group multi-objective scheduling risk analysis optimal equilibrium solution. The method comprises the acquisition of a multi-objective scheduling risk analysis noninferior solution, the calculation of a uniformity rate decision method of multi-objective scheduling risk analysis, and the calculation of a risk and benefit conversion relation and a threshold determination process in multi-objective scheduling. In the acquisition of the multi-objective scheduling risk analysis noninferior solution, firstly a cascade reservoir combined dispatching multi-objective minimum risk model is established, then a scheme is obtained through a selection operation in a genetic algorithm to carry out non-dominated sorting, and through the continuous renewal and elimination of crossover and variation operations in the algorithm, finally a solution curve or curve surface formed by a solution set is outputted. In the calculation process of the uniformity rate decision method of the multi-objective scheduling risk analysis, and based on a uniformity rate, a decision mode of the optimal equilibrium solution is determined. In the process of the calculation of a risk and benefit mutual conversion relation and a threshold determination process in multi-objective scheduling, based on the bifurcation theory, the threshold of a risk and benefit conversion relation between objectives is analyzed and determined.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)

A design method of motor optimization based on Game Theory

The invention relates to a design method of motor optimization based on Game Theory, which comprises the following steps: (1) determining variables to be optimized in motor design and establishing a partial objective functional equation and a constraint equation; (2) determining a noninferior solution set which is then taken as a strategy set in Game Theory; (3) taking an optimization objective as a player and taking a partial objective function and taking definite purpose as utilities of each player, disintegrating design variables into strategies for each player according to the correlation between the utilities and each partial objective function, and changing the solving problem of the optimal motor design scheme into a Game problem according to the above steps, wherein each player can cooperate with each other so as to maximize the utility of each player; and (4) adopting a method of cooperative Game for integratedly optimizing each optimization objective from Nash equilibrium solution, thus obtaining the global optimum solution. The design method of motor optimization fully takes the relation among different optimization objectives into account so as to search the integrated optimum solution, thus shortening the motor design cycle, lowering development difficulty and laying foundation for the intelligentization of motor optimization design.
Owner:TIANJIN UNIV

Resource optimal distribution method and device based on correlation equilibrium regret value matching

The invention discloses a resource optimal distribution method and device based on correlation equilibrium regret value matching. The method comprises the following steps: constructing an ultra-densewireless network model about a plurality of user nodes by taking system throughput maximization as an optimization target; according to the ultra-dense wireless network model, modeling the multi-dimensional spectrum access optimization problem of the user nodes as a non-cooperative game model; based on the non-cooperative game model, iteratively updating the frequency band selection of the user node through a regret value matching algorithm to obtain a coarse correlation equilibrium solution of the non-cooperative game model; and obtaining a multi-dimensional spectrum access mode of the user node according to the coarse correlation equilibrium solution. Through the regret value matching algorithm, the random finiteness of channel selection and the convergence of the learning algorithm areutilized to obtain the frequency spectrum sharing mode meeting the related balanced mixing strategy through regret matching, the fairness among users is ensured, the frequency spectrum utilization rate is improved, and better network performance is achieved.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Multi-unmanned aerial vehicle cooperative target distribution method and system in confrontation environment

ActiveCN110443473ASolving the Collaborative Target Assignment ProblemSmall amount of calculationForecastingResourcesIterative searchUncrewed vehicle
The invention provides a multi-unmanned aerial vehicle cooperative target allocation method and system in a confrontation environment. Based on a possible occupation strategy and a target allocation strategy of two confronting parties, a target confronted by each unmanned aerial vehicle of the own side is decided, a zero sum matrix game model is established, and the problem of multi-unmanned aerial vehicle cooperative target allocation in a confronting environment is solved by solving a mixed strategy Nash equilibrium solution of the model. Further, the zero sum matrix game model is solved; agame matrix of an extensible game is established and a current hybrid strategy Nash equilibrium is obtained; then, a variable placeholder iterative search mode is used to solve a third game strategy and a fourth game strategy for the two game parties to execute an extensible matrix game equilibrium solution to each other; and the game matrix of the extensible game for determining the most advantageous game strategy by one party in the solved confrontation is determined by utilizing an iterative method, and the determined game matrix of the extensible game is solved, so that the calculation amount can be effectively reduced, and the calculation efficiency is improved.
Owner:HEFEI UNIV OF TECH

Price guidance-based coordinated autonomous optimization operation method for a multi-microgrid system

ActiveCN110264003AGuaranteed privacyOptimize energy supply structureForecastingResourcesElectricity priceMicrogrid
The invention discloses a price guidance-based coordinated autonomous optimization operation method for a multi-microgrid system. The method comprises the following steps of establishing a double-layer decision-making system comprising an intermediate agent and each microgrid autonomous agent based on a multi-agent technology; each microgrid autonomous agent (MGA) obtaining each microgrid data, formulating a microgrid optimal scheduling plan according to the electricity price information, and then transmitting the surplus/deficiency information to the intermediate agent MA; the MA formulating an electric energy transaction price mechanism in the MMG system according to the surplus and deficiency information of each microgrid and the supply-demand relationship; and each microgrid autonomous agent (MGA) and the intermediate agent (MA) carrying out multi-time price interaction feedback until an equilibrium solution set is generated, and each microgrid autonomous agent (MGA) issuing a final optimization scheduling plan to each microgrid energy management system for execution. According to the present invention, the optimized operation of each microgrid is guided through price, and on the basis of ensuring benefits and privacy of each microgrid, the on-site consumption capacity of clean energy and the economic and environment-friendly operation performance of the system can be improved.
Owner:国网山东省电力公司聊城供电公司 +2

Ovary vitrification cryopreservation method under intervention of luteinizing hormone

InactiveCN106172376AGood functionGood endocrine functionDead animal preservationHigh concentrationSucrose
The invention discloses an ovary vitrification cryopreservation method under intervention of luteinizing hormone. The ovary vitrification cryopreservation method comprises the following steps: soaking an in-vitro ovary into a culture solution, putting into a constant-temperature incubator with 5 percent of CO2 at the temperature of 37 DEG C for culture, then transferring into a permeable cryoprotective agent-containing ethylene glycol pre-equilibrium solution for soaking, after then, transferring into a high-concentration cryoprotective agent-containing vitrified cryopreservation fluid for continuous permeable equilibrium, and finally transferring into liquid nitrogen for soaking for at least 24 hours. A thawing process comprises the steps of taking out the cryopreserved ovary from the liquid nitrogen, placing the ovary into 0.50 mol/L, 0.25 mol/L and 0.125 mol/L of thawing solutions which are preheated at the temperature of 37 DEG C and has the sucrose concentration gradually decreased in sequence for 10 min, then transferring the ovary into the culture solution, and putting into the constant-temperature incubator with 5 percent of CO2 at the temperature of 37 DEG C for culture; the culture solution, the pre-equilibrium solution, the vitrified cryopreservation fluid and the thawing solution contain the luteinizing hormone, so that the survival rate of the cryopreserved ovary can be increased, and the reproductive function and the endocrine function can be retained to a relatively large extent.
Owner:NINGXIA MEDICAL UNIV

A method for electric vehicle charging pile installation cooperation of a residential quarter under the perspective of three parties

InactiveCN107464193AThe installation is smoothEasy to useData processing applicationsPower gridEngineering
The invention discloses a cooperation method for installing electric vehicle charging piles in a residential area from a tripartite perspective. The method includes: before building a model, making assumptions about the tripartite relationship between the charging pile operator, the property of the residential area, and resident users, and giving the benefits of the three parties Cost function value; build a game model under the existence of three parties and find the equilibrium solution; analyze the results of the tripartite cooperation for the model equilibrium solution and give a plan for the tripartite cooperation. The method disclosed in the present invention distributes the interests of installing and using charging piles among the charging pile operators in the residential quarters, the residential property and the resident users, and obtains the preconditions for cooperation between the three parties, and realizes the electric vehicle A solution for the smooth installation and use of charging piles. In the process of solving, not only the role of the power grid system as the installation operator of charging piles, but also the importance of community property maintenance and the willingness of community residents to use electric vehicles were considered.
Owner:厦门电力勘察设计院有限公司
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