Adaptive Parameter Estimation with Guaranteed Prescribed Performance
This paper presents a novel adaptive parameter estimation framework for linearly parameterized nonlinear systems,which can guarantee the prescribed error convergence performance(e.g.overshoot,convergence rate).By introducing appropriate filter operations,an explicit expression of parameter estimation error is obtained.Then a prescribed performance function(PPF)and the associate transform are proposed,such that parameter estimation can be reduced as a regulation problem of the transformed system by designing an adaptive law.To this end,a novel adaptive law based on the obtained parameter estimation error is developed,such that the error convergence can be guaranteed to be within the prescribed bound.The parameter estimation is obtained without using the measurement of the state derivatives and is independent of any observer/predictor design.Simulation results illustrate that the proposed methods can achieve faster transient and better steady-state performance than some available results.
Adaptive System Parameter Estimation Prescribed Performance System Identification
Juan Yang Jing Na Xing Wu Yu Guo
Faculty of Mechanical & Electrical Engineering,Kunming University of Science & Technology,Kunming 650500
国际会议
长沙
英文
2515-2520
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）