Adaptive Optimal Parameter Estimation and Control of Servo Mechanisms: Theory and Experiments

2021 ◽  
Vol 68 (1) ◽  
pp. 598-608 ◽  
Author(s):  
Shubo Wang ◽  
Jing Na ◽  
Yashan Xing
Keyword(s):  
Parameter Estimation ◽  
Optimal Parameter ◽  
Optimal Parameter Estimation ◽  
Estimation And Control ◽  
And Control ◽  
Theory And Experiments

Aircraft Aerodynamic Parameter Estimation Using Intelligent Estimation Algorithms

2019 ◽  
pp. 276-288
Author(s):  
Abhishek Ghosh Roy ◽  
Naba Kumar Peyada
Keyword(s):  
Parameter Estimation ◽  
Fuzzy Inference ◽  
Optimal Parameter ◽  
Pso Algorithm ◽  
Approximate Model ◽  
Aerodynamic Parameter ◽  
Estimation Algorithms ◽  
Optimal Parameter Estimation ◽  
Control Derivatives ◽  
And Control

Application of adaptive neuro fuzzy inference system (ANFIS)-based particle swarm optimization (PSO) algorithm to the problem of aerodynamic modeling and optimal parameter estimation for aircraft has been addressed in this chapter. The ANFIS-based PSO optimizer constitutes the aircraft model in restricted sense capable of predicting generalized force and moment coefficients employing measured motion and control variables only, without formal requirement of conventional variables or their time derivatives. It has been shown that such an approximate model can be used to extract equivalent stability and control derivatives of a rigid aircraft.

scholarly journals Optimal Parameter Estimation for Muskingum Model Using a CSS-PSO Method

2013 ◽  
Vol 5 ◽  
pp. 480954 ◽  
Author(s):  
S. Talatahari ◽  
R. Sheikholeslami ◽  
B. Farahmand Azar ◽  
H. Daneshpajouh
Keyword(s):  
Parameter Estimation ◽  
Optimal Parameter ◽  
Muskingum Model ◽  
Optimal Parameter Estimation
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