Nonlinear model predictive control based on fuzzy wavelet neural network and chaos optimization
نویسندگان
چکیده
منابع مشابه
Nonlinear model predictive control based on fuzzy wavelet neural network and chaos optimization
In this paper a combined controller is proposed for nonlinear dynamical systems. The controller is constructed by a fuzzy wavelet network and nonlinear model predictive control. Chaotic optimization, which is fast and robust, is applied to generate optimized controlled input in nonlinear model predictive control. The ability of the fuzzy wavelet neural network and the proposed controller is sho...
متن کاملNonlinear Mimo Adaptive Predictive Control Based on Wavelet Network Model
A MIMO nonlinear adaptive predictive control strategy is presented in which the wavelet neural network based on a set of orthogonal wavelet functions is adopted. A nonlinear mapping from the network-input space to the wavelons output space in the hidden layer is performed firstly. Then, the output layer uses a linear structure. Its weight coefficients can be estimated by a linear least-squares ...
متن کاملImproved Optimization Process for Nonlinear Model Predictive Control of PMSM
Model-based predictive control (MPC) is one of the most efficient techniques that is widely used in industrial applications. In such controllers, increasing the prediction horizon results in better selection of the optimal control signal sequence. On the other hand, increasing the prediction horizon increase the computational time of the optimization process which make it impossible to be imple...
متن کاملExplicit Approximate Nonlinear Predictive Control Based on Neural Network Models
Nonlinear Model Predictive Control (NMPC) algorithms are based on various nonlinear models. Among others, an on-line optimization approach for NMPC based on neural network models can be found in the literature. Nevertheless, NMPC with on-line optimization is time consuming. On the other hand, an explicit solution to the NMPC problem would allow efficient on-line computations as well as verifiab...
متن کاملVerification of an Evolutionary-based Wavelet Neural Network Model for Nonlinear Function Approximation
Nonlinear function approximation is one of the most important tasks in system analysis and identification. Several models have been presented to achieve an accurate approximation on nonlinear mathematics functions. However, the majority of the models are specific to certain problems and systems. In this paper, an evolutionary-based wavelet neural network model is proposed for structure definiti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
سال: 2017
ISSN: 1300-0632,1303-6203
DOI: 10.3906/elk-1512-176