신경망 상태공간 모델
시스템의 비선형 상태공간 실현을 정의하는 함수를 나타내기 위해 신경망 사용
함수
createMLPNetwork | Create and initialize a Multi-Layer Perceptron (MPL) network to be used within a neural state-space system |
nssTrainingOptions | Create training options object for neural state-space systems |
nlssest | Estimate nonlinear state-space model using measured time-domain system data |
generateMATLABFunction | Generate MATLAB functions that evaluate the state and output functions of a neural state-space object, and their Jacobians |
idNeuralStateSpace/evaluate | Evaluate a neural state-space system for a given set of state and input values and return state derivative (or next state) and output values |
idNeuralStateSpace/linearize | Linearize a neural state-space model around an operating point |
sim | Simulate response of identified model |
객체
idNeuralStateSpace | Neural state-space model with identifiable network weights |
nssTrainingADAM | Adam training options object for neural state-space systems |
nssTrainingSGDM | SGDM training options object for neural state-space systems |
블록
Neural State-Space Model | Simulate neural state-space model in Simulink |
도움말 항목
- About Identified Nonlinear Models
Dynamic models in System Identification Toolbox™ software are mathematical relationships between the inputs u(t) and outputs y(t) of a system.