Silicon microgyroscope temperature prediction and control system based on BP neural network and Fuzzy-PID control method

Publisher： IOP Publishing

E-ISSN： 1361-6501|26|2|25101-25117

ISSN： 0957-0233

Source： Measurement Science and Technology, Vol.26, Iss.2, 2015-02, pp. : 25101-25117

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Self-Tuning Fully-Connected PID Neural Network System for Distributed Temperature Sensing and Control of Instrument with Multi-Modules

By Zhang Zhen Ma Cheng Zhu Rong

Sensors, Vol. 16, Iss. 10, 2016-10 ,pp. : 1709-1709

MDPI

Access to resources Recommend Favorite

Neural Network-Based Self-Tuning PID Control for Underwater Vehicles

By Hernández-Alvarado Rodrigo García-Valdovinos Luis Govinda Salgado-Jiménez Tomás Gómez-Espinosa Alfonso Fonseca-Navarro Fernando

Sensors, Vol. 16, Iss. 9, 2016-09 ,pp. : 1429-1429

MDPI

Access to resources Recommend Favorite

Dissolved Oxygen Control in Activated Sludge Process Using a Neural Network-Based Adaptive PID Algorithm

By Du Xianjun Wang Junlu Jegatheesan Veeriah Shi Guohua

Applied Sciences, Vol. 8, Iss. 2, 2018-02 ,pp. : 261-261

MDPI

Access to resources Recommend Favorite

Nonlinear Adaptive PID Control for Greenhouse Environment Based on RBF Network

By Zeng Songwei Hu Haigen Xu Lihong Li Guanghui

Sensors, Vol. 12, Iss. 5, 2012-04 ,pp. : 5328-5348

MDPI

Access to resources Recommend Favorite

Neural Network Based Maximum Power Point Tracking Control with Quadratic Boost Converter for PMSG—Wind Energy Conversion System

By Tiwari Ramji Krishnamurthy Kumar Neelakandan Ramesh Babu Padmanaban Sanjeevikumar Wheeler Patrick William

Electronics, Vol. 7, Iss. 2, 2018-02 ,pp. : 20-20

MDPI

Access to resources Recommend Favorite