11 results about "Optimization problem" patented technology

System and method for modeling a nonlinear process. A combined model for predictive optimization or control of a nonlinear process includes a nonlinear approximator, coupled to a parameterized dynamic or static model, operable to model the nonlinear process. The nonlinear approximator receives process inputs, and generates parameters for the parameterized dynamic model. The parameterized dynamic model receives the parameters and process inputs, and generates predicted process outputs based on the parameters and process inputs, where the predicted process outputs are useable to analyze and/or control the nonlinear process. The combined model may be trained in an integrated manner, e.g., substantially concurrently, by identifying process inputs and outputs (I/O), collecting data for process I/O, determining constraints on model behavior from prior knowledge, formulating an optimization problem, executing an optimization algorithm to determine model parameters subject to the determined constraints, and verifying the compliance of the model with the constraints.

The invention discloses a pilot frequency distribution method in DCS channel estimation. The method comprises modeling a pilot frequency position optimization problem into a combinational optimization problem with the minimum channel estimation error serving as the starting point; solving the combinational optimization problem through a raised genetic algorithm to obtain an optimal pilot frequency position set enabling the channel estimation error to be the smallest. By the aid of the method, compared with traditional least square channel estimation, lower estimation errors and higher frequency spectrum effectiveness can be obtained on the basis of DCS.

The invention discloses a power flow obtaining method applicable to an AC and DC system. The power flow obtaining method comprises the steps of: firstly, establishing an AC and DC power system power flow model including an AC network model, a DC network model and a converter model, then, relaxing the AC and DC power system power flow model to a second-order cone form by adopting a cone relaxationtechnology, and finally, on this basis, obtaining a piecewise linearization AC and DC power system power flow model according to a second-order cone linearization method, wherein the linearization precision can be adjusted through a zooming method and changing of a piecewise number index. According to the power flow obtaining method applicable to the AC and DC system disclosed by the invention, the cone relaxation technology and the second-order cone linearization technology are adopted; the original non-convex nonlinear AC and DC power flow equation is converted into the convex piecewise linearization form; the operation economy of the whole AC and DC system can be improved; and simultaneously, the power flow obtaining method is also more suitable for processing all kinds of operation optimization problems having relatively high timeliness requirements in the power system.

The invention discloses a method for designing discrete layering angles of a laminated board, which is used for solving the technical problem of large optimization problem scale in the conventional method for designing the discrete layering angles. The technical scheme is that: an optimization model for the discrete layering angles is established by using a binary coding material interpolation model, the maximum whole structure stiffness, namely the minimum submissiveness C is taken as a design goal, and the optimization design is performed by a mathematical programming method. The method is suitable for design problems of any number of discrete layering angles, the number of required design variables and the optimization problem scale are not larger than those of the conventional method,and the number of variables and the optimization problem scale can be greatly reduced when the number of the discrete layering angles is larger.

The invention discloses a transmission method for adaptive streaming media in a wireless network environment, and proposes an adaptive streaming media data transmission method which does not depend onthroughput prediction and network prior knowledge. A code rate selection problem is formally described into a random optimization problem; personalized demands of a user are added into a code rate selection decision; and maximization of user experience quality is taken as the objective. The method implements optimization in multiple aspects of video definition, playing smoothness and the like, and moreover, decision calculation cost and complexity are reduced, so that real-time performance of code rate level switching is further improved.

The invention discloses a distributed image reconstruction method of a radio interference array. An inverse problem of image reconstruction of the radio interference array is converted into a convex optimization problem under the equality constraint condition, an approximate ADMM (alternating direction method of multipliers) is used to solve the problem, and the quality of a finally reconstructedimage is higher than that via a present algorithm; data is segmented into multiple parts accurately and rapidly; and multiple calculation nodes are used for calculation, the parallel performance is higher, and the extensibility is high. The method can be used to obtain the reconstruction image directly needless of data post-processing steps, the dynamic range of the finally obtained image is wider, a celestial body of the extension structure is displayed more clearly, and the efficiency is higher compared with traditional methods.

The invention provides a fan blade single-target optimization sorting method based on three-axis torque, which comprises the following steps of: S1, adopting sorting software to carry out sorting preprocessing, construct equivalent resultant torque and establish an initial sequence; and S2, carrying out loop iterative operation by using a sensitive area search algorithm integrated in the sorting software to obtain an optimal sorting sequence of the equivalent unbalance. The concept and method of'equivalent resultant moment 'are constructed, three moment values are synthesized into a single moment, a multi-objective optimization problem is converted into single-objective optimization, optimization problem processing is simplified, and calculation is facilitated. Meanwhile, by analyzing the unbalance effect generated by the moments in different directions and combining conversion between a fan rotor supporting structure and static/even unbalance, the axial moments of the blades are subjected to weighting processing, and the problem of moment synthesis weight distribution is solved.

The invention discloses an image confrontation watermark generation method based on a particle swarm algorithm, and the method comprises the steps: combining an original image with a watermark through alpha mixing according to the position and transparency information of the watermark, and generating a watermark image; inputting the generated watermark image into a target neural network to obtain information of each classification confidence output by the target neural network; and on the basis of each classification confidence coefficient for the watermark image, obtaining an anti-watermark image through a particle swarm algorithm. According to the method, an adversarial watermark generation problem is modeled into an optimization problem, and the adversarial watermark is generated through a result of the optimization problem. And the optimization problem is efficiently solved by adopting a particle swarm algorithm. And a confidence coefficient difference value is used as an optimization target, so that omission of countermeasure watermark generation is avoided to a certain extent.