Self-learning inverse model control method of electronic throttle
A technology of electronic throttle and control method, which is applied in the direction of electrical control, neural learning method, adaptive control, etc., can solve problems such as complex controller design, and achieve the effects of overcoming nonlinearity, good control performance, and good control effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0030] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.
[0031] 1. Determine the structure of the controller.
[0032] The RBF neural network is an artificial neural network model that uses local receptive fields to perform function mapping based on the knowledge of biological local adjustment and overlapping receptive regions. It has the characteristics of optimal approximation and global approximation, and is a nonlinear modeling model. An effective tool in and control. The RBF neural network is usually defined as any point x in space to a certain center c i A monotonic function of the Euclidean distance between . The commonly used radial basis function here is the Gaussian function, whose form is
[0033] k i ( x ) = exp ( - ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com