Affiliation:
1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) School of Internet of Things Engineering, Jiangnan University Wuxi People's Republic of China
2. Department of Electromechanical Engineering Changzhou Vocational Institute of Textile and Garment Changzhou People's Republic of China
Abstract
SummaryThis paper studies the parameter estimation problems of feedback nonlinear systems. Combining the multi‐innovation identification theory with the negative gradient search, we derive a multi‐innovation gradient‐based iterative algorithm. In order to reduce the computational burden and further improve the parameter estimation accuracy, a decomposition multi‐innovation gradient‐based iterative algorithm is proposed by using the decomposition technique. The key is to transform an original system into two subsystems and to estimate the parameters of each subsystem, respectively. A simulation example is provided to demonstrate the effectiveness of the proposed algorithms.
Funder
National Natural Science Foundation of China
Higher Education Discipline Innovation Project
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering
Cited by
12 articles.
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