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44 results about "Uncertain systems" patented technology
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Saturated self-adjusting controller for time-varying delay uncertain system
The invention discloses a saturated self-adjusting controller for a time-varying delay uncertain system. The controller comprises three parts, namely a self-adjusting limiter, a conventional PID controller and an anti-integral saturator, wherein the conventional PID controller generates a control command uc(t) according to the offset of the controlled parameter y(t) and a target value r(t) thereof; the self-adjusting limiter calculates a steady-state gain K of a time-varying delay uncertain object under the corresponding working condition under the driving of a working condition variable s(t), dynamically generates a limiting value according to the K and r(t), timely limits the uc(t) and generates a final control function u(t); and the anti-integral saturator limits the integral function in the PID controller according to the offset of the uc(t) and u(t) in order to solve the possible integral saturation problem. By applying the invention, an engineering technician can conveniently apply effective control to a class of time-varying delay uncertain systems widely present in the process industry on an industrial control system (device) or in the mode of combining a hardware circuit with software programming so as to improve the safety and operating level of the production process.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)
Method for setting fractional-order PID (proportion, integration and differentiation) controller for parameter uncertainty system which is controlled object
InactiveCN103293956ASolve parameter tuning problemsImprove dynamic performanceAdaptive controlFractional-order controlControl engineering
The invention discloses a method for setting a fractional-order PID (proportion, integration and differentiation) controller for a parameter uncertainty system which is a controlled object. The fractional-order PID controller is applied to the parameter uncertainty system which is the controlled object. The method is used for optimally setting to-be-set parameters of the fractional-order PID controller, and includes firstly determining stability regions of parameters of the system; secondly, determining frequency and parameter variation ranges of the stability regions of the parameters of the system; thirdly, optimally setting the parameters of the controller by a genetic algorithm. The method for setting the parameters of the fractional-order PID controller on the basis of the parameter uncertainty system has the advantages that the parameters of the fractional-order controller can be effectively set when the controlled object is the parameter uncertainty system, the dynamic performance of the system can be optimized, and the fractional-order controller can realize a good control effect and is excellent in dynamic performance.
Owner:SHANGHAI JIAO TONG UNIV
Non-overshot fractional order time-varying sliding mode control method
InactiveCN105182741AImprove robustnessResponse rate changesAdaptive controlOrder systemFractional-order system
The present invention discloses a non-overshot fractional order time-varying sliding mode control method, relating to a time-varying sliding mode control method, belonging to the technical field of control. The method comprises a step of establishing the dynamic model of a fractional order uncertain system, a step of designing a fractional order time-varying sliding mode control law such that the system responds rapidly and has no overshot, a step of taking the control amount u obtained in the step (2) as a command and inputting the command into the dynamic model of the fractional order uncertain system to control the dynamic model, a step of taking a system state as the input of a fractional order time-varying sliding mode controller, and repeating the step (1) and the step (2) such that a tracking error converges to a zero value. According to the method, the characteristic ratio configuration method of an integer order system is promoted to the fractional order system, the system response non overshot is realized through determining the characteristic ratio, a system state is kept on a sliding mode surface from an initial time, and the robustness of the system is enhanced. In addition, the response rate of the system can be changed and the overshot amount of the system is not changed through individually adjusting a time constant.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
Simulating device and simulating method for pipeline leakage acoustic emission signals
InactiveCN103742794AHigh signal frequencyAccurate and effective extractionPipeline systemsAcoustic emissionUncertain systems
The invention relates to a simulating device and a simulating method for pipeline leakage acoustic emission signals, and belongs to the technical field of acoustic emission inspection. One end of a pipeline is sealed, and the other end of the pipeline is connected with the pressurized air charging device. A leakage hole capable of adjusting air leakage quantity is formed in the surface of the pipeline. A waveguide rod with a sensor is mounted on the surface of the pipeline and is away from the air leakage hole by certain distance. One end of the waveguide rod is connected with an acoustic emitter. Leakage acoustic emission signals detected by the simulating device are decomposed by an HHT and then subjected to BP network training to acquire classification results, so that simulation of the pipeline leakage acoustic emission signals is realized. By the simulation method and the simulation device, organization structure and operation mechanism of human brains are simulated in terms of microstructure and function, so that nonlinear systems and uncertain systems can be described well.
Owner:KUNMING UNIV OF SCI & TECH
Method of DC motor networked tracking controller
The invention relates to a method of a DC motor networked tracking controller. The method comprises the steps of (1) establishing a DC motor discrete system state equation with the consideration of atime-varying network induced delay, describing the DC motor system as a discrete-time norm bounded uncertain system with a one-time input delay, and using an uncertain system method to process an exponential time-varying problem in a motor state equation, (2) establishing a closed-loop system model of a DC motor networked tracking control system containing uncertainties, wherein the closed-loop system is an uncertain augmented closed-loop system with the one-step input delay, and (3) designing the DC motor networked tracking controller including the steps of firstly carrying out H-infinity performance analysis on the closed-loop system to verify stability and then designing the networked tracking controller, wherein the time delay is divided into a mean part and an uncertainty part in modeling, a networked control system is described as a class of discrete-time norm bounded uncertain system, and a networked H-infinity tracking control strategy is used to design a state feedback controller.
Owner:NANJING UNIV OF POSTS & TELECOMM
Multiple sectioned Bayesian network-based electronic circuit fault diagnosis method
InactiveCN102540054AEfficient SupplementEffective correctionElectronic circuit testingNetwork approachNetwork structure
The invention relates to a multiple sectioned Bayesian network-based electronic circuit fault diagnosis method. Common electronic circuit fault diagnosis methods include a fuzzy set fault dictionary method, a neural network approach, a Bayesian network method and the like, and have low fault resolution, interpretability and real-time property. The method comprises the following steps of: setting two adjacent fault diagnosis reasoning credibility threshold parameters, and determining the number of intelligent agents; obtaining Bayesian subnetwork structures, mapping a fault cause source to each Bayesian subnetwork, and learning credibility condition probability parameters among nodes of a Bayesian subnetwork model by using an expectation-maximization (EM) algorithm; using nodes corresponding to overlapped signals as overlapped subareas of the network to form a complete multiple sectioned Bayesian network (MSBN) so as to construct a linked junction forest; and inputting respective k target characteristic signals serving as observation evidence into each Bayesian subnetwork. A spatial multi-source information fusion method is adopted, the fault diagnosis capacity of a system is improved, the method is suitable for complicated and uncertain systems, and the fault diagnosis accuracy and speed are greatly improved.
Owner:SHAANXI UNIV OF SCI & TECH
Ship path tracking control method for uncertain systems
InactiveCN110134012AResolve uncertaintySolve the problem of uncertain system parametersAdaptive controlPosition/course control in two dimensionsBacksteppingMathematical model
The invention provides a ship path tracking control method for uncertain systems. External interference, model uncertainty and uncertain system parameter problems are solved at the same time. Startingfrom the description of a mathematical model of the ship and considering the subsistent influence of non-zero drift angles on course angles in the tracking process, a self-adaptation law is introduced to solve the uncertainty and interference problems, and the tracking performance is guaranteed by combining a controller designed based on a backstepping method. According to the control algorithm,suppression control on interference and uncertainty can be effectively realized, so that the tracking error is gradually changed to zero, and high-precision trajectory tracking control is guaranteed.
Owner:SHANGHAI MARITIME UNIVERSITY
A vehicle stability control method for a traveling system with uncertainties
A vehicle stability control method for a traveling system with uncertainties which Contains the following steps: Collecting vehicle driving state information, according to the two-degree-of-freedom model, expressing The uncertainties of the analytical system of the vehicle model as linear uncertain systems, Taking the deviation between the actual value and the expected value of the state quantityas the input of the robust optimization vehicle stability controller, obtaining the expected value of the control quantity required for vehicle stability by using the suboptimal control method, and distributing the tire force by the pseudo-inverse distribution method, and finally executing the tire force distribution result by the actuator.
Owner:JILIN UNIV
Rapid active disturbance rejection method for air cavity pressure based on extended state observer
ActiveCN111413872AFast active anti-jammingEasy to set upArtificial lifeFluid pressure controlAviationTechnological research
The invention provides a rapid active disturbance rejection method for air cavity pressure based on an extended state observer. The method is suitable for intake and exhaust pressure control of a typical engine transition state test task, and mainly comprises the following steps of constructing a control model of an air cavity pressure system based on linear active disturbance rejection control, and estimating total disturbance (the sum of internal disturbance and external disturbance) influencing a controlled quantity in real time through an extended state observer, dynamically transforming an original uncertain system into an ideal integral series system through a special state feedback mechanism, estimating disturbance by utilizing natural advantage predictability and disturbance rejection of a linear active disturbance rejection controller, and updating the convergence rate and the global search capability through an improved whale algorithm, and immediately eliminating disturbanceby using the controlled quantity, so that the purpose of rapid and active disturbance rejection is achieved. Technical support can be provided for follow-up complex control technology research such as aircraft engine transition state test environment simulation multivariable control and dynamic decoupling control.
Owner:SOUTHWEAT UNIV OF SCI & TECH
Sliding mode prediction fault-tolerant control method for multi-time-lag system with sensor faults
PendingCN111722533AAvoid falling intoGuaranteed Global RobustnessAdaptive controlTime lagControl engineering
The invention discloses a novel sliding mode prediction fault-tolerant control algorithm for a multi-time-lag system with sensor faults. The sliding mode prediction fault-tolerant control method basedon an improved whale optimization algorithm is designed to overcome a fault-tolerant control problem of a multi-time-lag discrete uncertain system under the condition of sensor faults. A global sliding mode surface is designed as a prediction model to replace a traditional linear sliding mode surface, so that the global robustness of the system is ensured. For sensor faults and sliding mode buffeting, a power function reference trajectory with fault compensation is designed to weaken buffeting and obtain better robust stability. In the rolling optimization process, the improved whale optimization algorithm is designed, the optimization process can be prevented from falling into a local minimum value while high convergence speed and precision are achieved, and the early-maturing convergence problem is solved. The robust fault-tolerant control method is used for robust fault-tolerant control of the multi-time-lag discrete system with sensor faults.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Hybrid state estimation method for high-dimensional coupling uncertainty system
ActiveCN111310110ASolve modeling problemsReduce system dimensionalityTotal factory controlComplex mathematical operationsAlgorithmEstimation methods
The invention provides a hybrid state estimation method for a high-dimensional deep coupling uncertain system, which comprises the following steps of: firstly, constructing a state, parameter and measurement model of the high-dimensional deep coupling uncertain system, and designing a corresponding observer model to obtain estimated values of the state and the parameter; secondly, discretizing thesystem to decompose the system into a low-dimensional discretized hybrid model, and further obtaining the low-dimensional discretized hybrid model and a parameter model; and finally, taking the observer output estimation value as an auxiliary signal, performing filtering processing on the state estimation value of the low-dimensional discretization hybrid model by using a volume Kalman filteringalgorithm, and outputting a state value of the low-dimensional discretization hybrid model. According to the method, the system model is corrected through the estimated value output by the observer, the system state estimation precision can be effectively improved on the premise that the system stability is guaranteed, meanwhile, the calculation dimension of the filtering calculation process is reduced through the low-dimensional volume Kalman filtering algorithm, and the method is suitable for high-dimensional, coupled and nonlinear system state estimation with uncertainty.
Owner:ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
Finite time remote security state estimation method for time delay uncertainty system
The invention discloses a finite time remote security state estimation method for a time delay uncertainty system. The method comprises the steps of establishing a controlled system state space model;establishing a state estimator system model and a computing center, and carrying out a state estimation task; establishing an extended state estimation model of the extended state estimation system;providing existence conditions of the finite time remote safety state estimator through an energy function in combination with a bounded judgment auxiliary equation; and designing a state estimator algorithm through the steps of giving system parameters, initializing parameters, solving an inequality group, modifying the initializing parameters and the like, generating a remote security state estimation strategy, and achieving finite time remote safety state estimation of the time delay uncertainty system. According to the invention, the robust finite time security state estimation of the timedelay uncertainty system based on the remote transmission data can be ensured, and the timeliness and reliability of the state estimation under the remote data transmission mode with the network attack are realized.
Owner:NANJING INST OF TECH
Uncertain system model predictive control parameter setting method based on machine learning
ActiveCN112327625AImprove robustnessSolve the problem of low control accuracyAdaptive controlAlgorithmEngineering
The invention discloses an uncertain system model predictive control parameter setting method based on machine learning. The method comprises the steps of 1) obtaining an m-dimensional output weight matrix Q and an n-dimensional input weight matrix R in a cost function of system model predictive control; (2) obtaining an output sequence and mn*L3 groups of performance indexes, wherein each group of performance indexes is a group of column vectors constructed by output overshoot and adjustment time, worst overshoot and worst adjustment time are respectively solved for each group Q and R, and then the solved worst overshoot and worst adjustment time are stored in a matrix F; 3) constructing an RBF neural network, and calculating an optimal performance index by using the established RBF neural network; 4) constructing a BP neural network, and solving a performance label by using the BP neural network; and 5) taking the performance label as an optimization basis, and adopting a PSO optimization algorithm to adjust the predictive control parameters of the uncertain system model, so that the method can more accurately set the predictive control parameters of the uncertain system model.
Owner:XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
Chinese chemical fertilizer price index prediction method based on BP neural network
The invention relates to a prediction method and particularly relates to a Chinese chemical fertilizer price index prediction method based on a BP neural network, belonging to the technical field of time sequence prediction. According to the technical scheme provided by the invention, the Chinese chemical fertilizer price index prediction method based on a BP neural network comprises the following steps: (a) training the BP neural network by use of the historical data of the Chinese chemical fertilizer price to obtain a price index prediction model; and (b) predicting the price index by use of the price index prediction model. The method provided by the invention needs consideration of statistical property calculation and can be theoretically applied to the modeling of any non-linear time sequence; with a unique non-traditional expression way and inherent learning ability, the method has tremendous advantages in controlling highly non-linear and seriously uncertain systems; and the method realizes high accuracy of predicting the Chinese chemical fertilizer price index.
Owner:JIANGSU R & D CENTER FOR INTERNET OF THINGS
Intelligent agricultural machinery fertilization method and device based on Internet of things
The invention relates to the technical field of agricultural machinery, and specifically relates to an intelligent agricultural machinery fertilization method and device based on the Internet of things. According to the invention, an agricultural information server terminal sends water and fertilizer ratio information and motor speed recommendation information to a main control module through a wireless signal module according to a geographical location information matching result, a water and fertilizer ratio module builds a neuron structure model, the main control module controls the water and fertilizer ratio module, a speed control module and a liquid pump on the basis of the neuron model and controls an agricultural machinery fertilization device to perform a fertilization operation by combining an environment compensation module, an Internet of things monitoring terminal realizes remote operation monitoring through a GPS data terminal switch and a man-machine interaction unit, the water and fertilizer ratio module is controlled to realize different ratios, the motor is controlled to realize different rotating speeds and the liquid pump is controlled to realize different operating conditions according to the recommended operation information, uncertain systems can be learnt and adapted by using the neural network, a method basis is provided for variable rate fertilization, and the scientificity and the reliability of the operation are improved.
Owner:长沙善道新材料科技有限公司
Multi-agent adaptive formation control method for avoiding collision and communication interruption
ActiveCN114296473AImprove practicalityImprove securityTotal factory controlPosition/course control in three dimensionsBacksteppingUncertain systems
The invention discloses a multi-agent adaptive formation control method for avoiding collision and communication interruption, and provides a method for selecting upper and lower bounds of a relative distance for a high-order uncertain system, and the relative distance is limited in a preset range based on a PPB method, so that collision or communication interruption between agents is avoided. A non-minimum rigid distributed formation is established by using an adaptive backstepping method, and all agents only need to acquire states of neighbors. Through the technical scheme of the invention, the problem of collision or communication interruption of the intelligent agents in the formation is avoided, and the purpose of improving the safety and reliability of the formation system is achieved.
Owner:BEIHANG UNIV
Intelligent pressure big data detection system based on Internet of Things
ActiveCN114358244AReduce non-stationarityImprove forecast accuracyNeural architecturesApparatus for force/torque/work measurementThe InternetEngineering
The invention discloses a pressure big data intelligent detection system based on the Internet of Things, and the system is characterized in that the system comprises a parameter collection platform and a pressure big data processing subsystem, the system achieves the pressure detection and intelligent prediction, and improves the reliability and accuracy of pressure detection and prediction; according to the invention, the problem that accurate detection and reliable management of multi-point pressure are greatly influenced due to the fact that existing pressure detection is not influenced by an uncertain system which is strong in interference, large in lag and nonlinear according to multi-point pressure detection is effectively solved.
Owner:HUAIYIN INSTITUTE OF TECHNOLOGY
Tension detection and intelligent control system
ActiveCN114355848AImprove accuracyHigh precisionTotal factory controlProgramme total factory controlSpinningControl engineering
The invention discloses a tension detection and intelligent control system which is characterized in that the control system comprises a parameter acquisition and control platform and an intelligent tension control subsystem, and the control system achieves intelligent control over the winding speed and tension detection of yarn and the tension of the yarn. The reliability and accuracy of yarn winding process measurement and yarn tension control are improved; the method effectively solves the problem that accurate detection and reliable control of the tension detection and control process are greatly influenced due to the fact that an existing tension detection and control process is not influenced by a non-linear uncertain system with large fluctuation, large lag and large fluctuation of the tension in the spinning process.
Owner:HUAIYIN INSTITUTE OF TECHNOLOGY
PI control method of interval-uncertain water tank liquid level control system
PendingCN114675531AReasonable liquid level controlGuarantee production efficiencyControllers with particular characteristicsControl systemControl engineering
The invention discloses a PI control method of an interval uncertain water tank liquid level control system with external disturbance input. The method comprises the following steps: firstly, establishing a state space model of the water tank liquid level control system by utilizing a positive switching system with external disturbance input; a PI controller of an interval uncertainty positive switching system with external disturbance input is designed by means of a multiple linear complementary positive Lyapunov function and a matrix decomposition technology, so that the liquid level of a multi-capacity water tank system is reasonably controlled, and normal and smooth life and production of people are guaranteed. Almost all systems have uncertainty, and the uncertainty of the system can damage the performance of the system and even lead to instability of the system. Therefore, it is necessary to design the PI controller based on the interval uncertainty system, and the production benefit of an actual control system is guaranteed.
Owner:HANGZHOU DIANZI UNIV
Fault Tolerant Control Systems for Uncertain Systems with Actuator Failures
ActiveCN108646712BProof of stabilityProgramme controlElectric testing/monitoringData packPacket loss
The invention discloses a fault tolerance control system of an uncertain system with a performer fault. A sensor, a controller and a performer in the network all uses a time driven manner, sampling time are synchronized, possible packet loss in the network transmission process is taken into consideration, switches are added between the sensor and the controller and the controller and the performerrespectively to model data packet loss, a model of a controlled object is established, and whether the performer works normally is determined according to a performer fault matrix. The fault tolerance control system has the advantages of being stable, and capable of carrying out fault tolerance control effectively.
Owner:QINGDAO TECHNOLOGICAL UNIVERSITY
Novel sliding-mode prediction fault-tolerant control algorithm for uncertain multi-time-lag four-rotor system under actuator fault
ActiveCN112147897AAvoid falling intoEliminate Approach ModeAdaptive controlControl engineeringUncertain systems
The invention discloses a novel sliding-mode prediction fault-tolerant control algorithm for a discrete uncertain multi-time-lag four-rotor system under an actuator fault. For the fault-tolerant control problem of the discrete uncertain multi-time-lag four-rotor system under the condition that the actuator fault exists, firstly, a quasi-integral sliding mode surface is designed to serve as a prediction model to eliminate an approaching mode, so that the global robustness is guaranteed; secondly, aiming at the actuator fault and multiple time lags, an improved fault compensation double-power function reference track is designed, so that the influence of the time lags on the system is weakened, and the fault-tolerant control precision is improved; and thirdly, an improved inverse time limitcoyote optimization algorithm (ICOA) is designed for rolling optimization, so that while a good convergence rate is obtained, the situation that local extremum is caught in the optimization process isavoided, and the local development and global search performances are balanced. The fault-tolerant control algorithm is used for robust fault-tolerant control of the multi-time-lag discrete uncertainsystem with the actuator fault.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Data-driven anti-interference control structure for controlling uncertain system with unknown gain
ActiveCN111208734AControl input validRealize online estimationTotal factory controlAdaptive controlInterference resistanceState observer
The invention provides a data-driven anti-interference control structure for controlling uncertain system with unknown gain. The structure is characterized in that the structure comprises an input controller module, an extended state observer module, a filter module, a stacker module, and a control input gain estimation module. According to the structure, an adaptive method is combined with the extended state observer, the design of the data-driven anti-interference control structure for controlling the uncertain system with unknown gain is provided, the structure is quick in response, high inbenefit and high in environmental adaptability, the accurate estimation of a control input gain b0 and effective estimation of unknown uncertainty sigma are realized, and it is ensured that the actual value x of the state parameter of the complex uncertain system converges to an expected value r and the estimated value converges to the actual value x.
Owner:DALIAN MARITIME UNIVERSITY
Noise-enhanced convolutional neural networks
ActiveUS11256982B2Learning speedImprove accuracyCharacter and pattern recognitionProbabilistic networksData processing systemEngineering
A learning computer system may include a data processing system and a hardware processor and may estimate parameters and states of a stochastic or uncertain system. The system may receive data from a user or other source. Parameters and states of the stochastic or uncertain system are estimated using the received data, numerical perturbations, and previous parameters and states of the stochastic or uncertain system. It is determined whether the generated numerical perturbations satisfy a condition. If the numerical perturbations satisfy the condition, the numerical perturbations are injected into the estimated parameters or states, the received data, the processed data, the masked or filtered data, or the processing units.
Owner:UNIV OF SOUTHERN CALIFORNIA
Material weighing major data detection and packaging intelligent control system
ActiveCN114397809AImprove accuracyHigh precisionControllers with particular characteristicsTotal factory controlControl engineeringProcess engineering
The invention discloses a material weighing large data detection and packaging intelligent control system which is characterized in that the system comprises a parameter acquisition and control platform and a packaging intelligent control subsystem, and intelligent control over the weight detection and packaging process of packaged materials is achieved. The reliability and accuracy of weighing and packaging in the material packaging control process are improved; the method effectively solves the problem that accurate operation and reliable management of the material weighing and packaging process are greatly affected due to the fact that the existing material weighing and packaging process does not have the influence of a non-linear uncertain system with strong interference and large lag in the material weighing and packaging process on accurate weighing and reliable packaging of the material.
Owner:HUAIYIN INSTITUTE OF TECHNOLOGY
Parameter tuning method for model predictive control of uncertain systems based on machine learning
ActiveCN112327625BImprove robustnessSolve the problem of low control accuracyAdaptive controlAlgorithmEngineering
Owner:XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
A Two-speed Adaptive Proportional-Derivative Control Method
InactiveCN109254529BGood anti-disturbance robust performanceSimple structureControllers with particular characteristicsChemical industryAviation
Aiming at the control problems of non-affine nonlinear uncertain systems, a Two-Speed Adaptive Proportional-Derivative (2SAPD) control method that does not depend on the plant model is invented. The control method of the invention defines the system dynamics and internal and external uncertainties as the sum disturbance, thereby transforming the non-affine nonlinear uncertain system into a linear uncertain system, and then constructs the error dynamic system under the excitation of the sum disturbance, according to which A two-speed adaptive proportional-derivative controller model with center speed factor as the core is designed. Theoretical analysis shows that the closed-loop control system composed of 2SAPD controller not only has global asymptotically stable robustness, but also has good anti-disturbance robustness. The invention has wide application value in the fields of electric power, machinery, chemical industry, transportation, aviation, aerospace and the like.
Owner:CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
A Sliding Mode Robust Control Method for Discrete Time-delay Uncertain Systems
ActiveCN106527148BEnsure Global RobustnessGuaranteed accessibilityAdaptive controlTime delaysChaotic
The present invention discloses a sliding mode robust control method of a discrete time delay uncertain system. A multi-population chaotic simulated annealing particle swarm optimization algorithm is used to optimize a support vector regression machine (SVR) structure parameter, a combined kernel function support vector regression machine is used to give a system prediction model, a control law is solved through a novel sliding mode reaching law, and the reachability of a sliding mode can be guaranteed. The method is used for the robust control of uncertain discrete system with state time delay.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Neural network circuit structure capable of changing nerve cell excitement
InactiveCN109657785AAdequate approximation to the nonlinear stateApproximate nonlinear statePhysical realisationNeural learning methodsNetwork structureUncertain systems
The invention discloses a neural network circuit structure capable of changing nerve cell excitement, which comprises a neural network structure and a parameter interface module, and is characterizedin that the neural network structure is connected with the parameter interface module. According to the invention, the nonlinear state of neuronal excitement during learning of people can be fully approximated; The self-learning capability is achieved, and unknown or uncertain systems can be learned; All quantitative or qualitative information is equipotential distributed and stored in each neuronin the emotional neural network, so that the robustness and the fault tolerance are very high; And a parallel distribution processing method is adopted, so that the high-speed solution searching andoptimizing capability is achieved, the high-speed operation capability of a computer can be exerted, a large number of operations can be carried out quickly, and the learning efficiency is greatly improved.
Owner:BEIJING UNIV OF TECH
A Modeling Method for Uncertain Systems Based on Interval Feedback Neural Networks
InactiveCN108446506BOvercome the disadvantage of increasing the exponential growth of calculation volumeDesign optimisation/simulationNeural architecturesNonlinear approximationDescent algorithm
The invention provides an uncertain system modeling method based on an interval feedback neural network, and relates to the technical field of system modeling in industrial processes. The method includes: collecting the actual input and output data pairs of the system; collecting the system data pairs under the UBB condition; normalizing the actual point value input and the corresponding actual interval output data; using the normalized data as the training data pair interval The feedback neural network is trained offline to obtain the trained interval feedback neural network; the trained interval feedback neural network is tested with test samples and the output value prediction is completed. The present invention provides an uncertain system modeling method based on interval feedback neural network, utilizes the nonlinear approximation ability of interval feedback neural network, and adopts the gradient descent algorithm based on error backpropagation for network weight learning, avoiding neuron It is widely applicable to the modeling process of high-order dynamic systems with unknown but bounded errors.
Owner:NORTHEASTERN UNIV LIAONING
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