Description: 摘要:本文旨在研究一种能对复杂热工对象的有效建模方法。基于遗传算法的辨识方法有较强的抗干扰能力,对低、高阶系统、延时系统都可以达到很好的辨识效果。根据单元机组的低阶非线性模型,推导出一个双进双出、能够描述机组动态特性及机炉间相互耦合关系的协调控制系统传递函数矩阵。依次模型为基础,提出一种基于改进的遗传算法的参数辨识方法。-Abstract: This paper aims to study a thermal complex objects can be an effective modeling method. Identification method based on genetic algorithm has strong anti-jamming ability, low, high-end systems, delay systems can achieve very good recognition results. According to unit power plant low-level non-linear model, derived a double inlet and outlet, can describe the dynamic characteristics and boiler-turbine unit is coupled between two relations, coordination and control system transfer function matrix. Turn model was proposed based on improved genetic algorithm based on parameter identification method. Platform: |
Size: 118784 |
Author:space6 |
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Description: 高斯网络的非线性动态系统直接逆模型辨识，为一并联结构-The Gauss network non-linear dynamic system direct counter model identification, is a parallel structure
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Author:徐凯 |
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Description: 在matlab中利用Volterra非线形滤波器进行系统辨识，并带有一个应用示例。代码带有详细注释。-In the matlab filter using Volterra non-linear system identification, and with an application example. Code with detailed comments. Platform: |
Size: 3072 |
Author:bigbigtom |
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Description: 第七章的多维非线性辨识的MATLAB程序例7.2用神经网络学习二维非线性函数
，是侯媛彬和汪梅的系统辨识课本上第七章的的实验。-Chapter VII of the multi-dimensional non-linear identification procedure Example 7.2 using the MATLAB neural network to learn two-dimensional nonlinear function, is Houyuan Bin and Wang Mei system identification textbook Chapter VII of the experiment. Platform: |
Size: 1024 |
Author:张与 |
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Description: 在程序设计和调试过程中①只要在程序中增加类似m或n的循环语句，便可用神经网对三维或三维以上的非线形函数训练，也可以用在复杂系统二个以上独立变量、任意维非线性动态参数的辨识-In program design and debugging process ① similar increase in the program as long as m or n of the loop, you can use the neural network over a three-dimensional or three-dimensional non-linear function of training, can also be used in a complex system, two or more independent variables, any dimension Parameter identification of nonlinear dynamic Platform: |
Size: 2048 |
Author:wty |
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Description: 用于系统辨识的NLJ算法。适用于状态空间表示的非线性系统，用于系统参数的辨识。-NLJ algorithm for system identification. Applicable to non-linear state space representation used to estimate the system parameters. Platform: |
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Author:董毅 |
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Description: This paper describes the application of an identification algorithm clustering type Gustafson-Kessel nonlinear
dynamical system. From input-output data the algorithm generates fuzzy models of Takagi-Sugeno. This type of modeling is applied
to a non-linear numerical model. The non-linear input / output model of the system is decomposed in several described by
membership functions and fuzzy rule-based local linear systems. The results are presented and prospects for future work. Platform: |
Size: 152576 |
Author:orques
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