32results about How to "Dealing with uncertainty" patented technology

The invention discloses an unexpected event emergency capacity assessing method based on interval binary semantics. The unexpected event emergency capacity assessing method comprises the following steps: firstly, building an emergency capacity assessing index system, and building an interval binary semantics preference relationship relevant to an assessing index through pairwise comparison; then,inspecting and correcting the consistency of the interval binary semantics preference relationship by an iterating algorithm; exporting assessing index weights and calculating a sub-index global weight; taking subjective and objective weights of a decision maker into consideration, and calculating a group sub-index global weight by using an interval binary semantics aggregation operator; acquiringan interval binary semantics assessing value of a scheme to be assessed on a sub-index; taking the subjective and objective weights of the decision maker into consideration, and calculating a group scheme assessing value by using the interval binary semantics aggregation operator; and integrating interval binary semantics interval set aggregation operators to obtain comprehensive assessing valuesof schemes for comparison and ranking. Through adoption of the unexpected event emergency capacity assessing method, information loss can be avoided, and the complexity, uncertainty and thought fuzziness of the decision maker during emergency capacity assessing can be well processed.

A hypersonic vehicle trajectory tracking control method based on output information, comprising the following steps: Step 1: Using an input-output linearization technique, transform the longitudinal model of the hypersonic vehicle into a system containing lumped disturbances (the sum of external disturbances and parameter uncertainties) ) input and output model; Step 2: According to the input and output model established in Step 1, design a fixed time dilation state observer to estimate the state of the unknown disturbance and the input and output model; Step 3, based on the fixed time dilation state observer and the output value of the system , design the fixed-time continuous terminal sliding mode surface, and further obtain the fixed-time continuous terminal sliding mode trajectory tracking control scheme of the hypersonic aircraft system; the method of the invention can make the system output track the reference trajectory in the fixed time. The invention is suitable for the field of hypersonic aircraft control.

The invention relates to the field of automatic control, and proposes a fractional-order adaptive control method and device for a time-delay multi-flexible swing arm system, including the steps of: constructing a fractional-order nonlinear model for the time-delay multi-flexible swing arm system; constructing through a directed topology graph The communication network of the time-delay multi-flexible swing arm system; the tracking error of each flexible swing arm in the communication network is introduced; the adaptive controller is obtained through the calculation of the fractional nonlinear model and the tracking error; the time-delay is controlled by the adaptive controller The movement of each flexible swing arm in the multi-flexible swing arm system. By constructing a fractional-order nonlinear model, the present invention can comprehensively consider the accuracy and complexity of the model, and can better describe the time-delay multi-flexible swing arm system; an adaptive control method is proposed to deal with the time-delay multi-flexibility swing arm Uncertainty factors in the system; the error barrier function and radial basis neural network are introduced to compensate the time-delay factor in the system and realize the precise tracking of reference signals by multiple flexible swing arms.

A load flow calculation method of a distributed power supply connection power grid comprises the steps that S1. initial data of an electric power system are read; S2. sampling frequency N and the dimensions s of input random variables are determined; S3. an s * N order sampling matrix is generated; S4. sampling frequency is initialized, namely n is equal to 1; S5. whether n is larger than the sampling frequency N is judged, and yes, the probability statistics results of the variables are directly output; otherwise, S6 is carried out; S6. a wind power and photovoltaic power generation output model is determined, and a load random model is determined; S7. a load flow calculation model is determined; S8. an optimized economic model is determined; S9. load flow calculation is carried out; S10. data such as voltage, branch power and power generation cost of a <n>th node group are determined; and S11. a next round of load flow calculation is carried out, t is equal to t + 1, and S5 is carried out. The probability distribution of the output random variables can be estimated well, the uncertainty problem in an electricity market can be well solved, debugging manpower and material resources are saved, and production cost is lowered.

The invention relates to the field of visual servo systems, in particular to a PD-SMC control method of a visual servo system based on an eye-on-hand structure so as to solve the problems of uncertainty and large computation amount existing in an existing visual servo system control method. The method comprises the steps of (1) setting an expected image and collecting feature points of the expected image as an expected visual feature set; (2) conducting projection transformation on a target expected image with the current state of the relative poses of a camera and a target body to obtain a current image of the camera; (3) adopting the PD-SMC method for a visual servo controller part and adopting a proportional control method for a joint controller part; (4) extracting a visual feature setfrom the current image, computing a jacobian matrix of the image and then computing the controlled quantity u of the camera in a Cartesian space; and (5) computing the pose of the target body in a camera coordinate system, and repeating the operations with the pose as the current pose until the error is zero. The PD-SMC control method can be applied to target grabbing equipment.

The invention discloses a multi-layer elite role method for excavating diagnostic rules of special TCM medical records. The method firstly designs elite role subpopulation density selection probabilities and assigns TCM medical record attributes to different types of "ordinary-elite" role populations. Carry out preprocessing of correlation and interdependence attributes in special TCM medical records; then construct a dynamic equilibrium strategy based on multi-layer elite roles, and form multi-layer elite roles by dynamically moving in and out of different elite role populations in each pentagonal evolution area Global equilibrium point; finally, the elite subset vector with the strongest global search and local refinement capabilities is selected from the multi-layer elite roles, and the strongest elite optimization array is constructed to realize the rapid mining of special TCM medical record diagnosis rules. The invention can better overcome the problems of fuzzy attributes, attribute correlation and interdependence of special TCM electronic medical records, effectively improve the mining efficiency of its diagnostic rules, and has strong robustness and practicability.

The invention provides a CPS modeling and analysis method based on object-oriented generalized stochastic Petri net. First, according to the specific situation of the modeled CPS, the equipment is divided into three major components: sensors, controllers, and actuators, and then the three major components are abstracted into objects to build an OGSPN model. According to the concept of the object’s OGSPN model and the actual CPS The specific tasks of each component in the system, expand each object in the top-level OGSPN model, and obtain the OGSPN model of the system; then compress the OGSPN model into a traditional GSPN, fuzzify the parameters in the GSPN, obtain a fuzzy GSPN, and use the Markov method to solve Steady-state probability of fuzzy GSPN. Finally, the obtained steady-state probability value is defuzzified to obtain the final accurate numerical result. The invention adopts the analysis method of fuzzy mathematics and Markov chain, effectively deals with the uncertainty in the CPS, so that the result has high accuracy.