Parameter identification and adaptive control of an ultrafiltration process in hemodialysis

2000 ◽  
Author(s):  
R. DeCarlo ◽  
C. Meirina
Keyword(s):  
Adaptive Control ◽  
Parameter Identification ◽  
Ultrafiltration Process

PARAMETER IDENTIFICATION AND ADAPTIVE SYNCHRONIZATION OF UNCERTAIN HYPERCHAOTIC CHEN SYSTEM

2008 ◽  
Vol 22 (08) ◽  
pp. 1015-1023 ◽  
Author(s):  
XINGYUAN WANG ◽  
XIANGJUN WU
Keyword(s):  
Adaptive Control ◽  
Parameter Identification ◽  
Lyapunov Stability ◽  
Stability Theory ◽  
Lyapunov Stability Theory ◽  
Adaptive Synchronization ◽  
Control Law ◽  
Uncertain Parameters ◽  
Chen System ◽  
Adaptive Control Law

This paper studies the adaptive synchronization and parameter identification of an uncertain hyperchaotic Chen system. Based on the Lyapunov stability theory, an adaptive control law is derived to make the states of two identical hyperchaotic Chen systems asymptotically synchronized. With this approach, the synchronization and parameter identification of the hyperchaotic Chen system with five uncertain parameters can be achieved simultaneously. Theoretical proof and numerical simulations demonstrate the effectiveness and feasibility of the proposed scheme.

Parameter Identification of a Class of Non-Autonomous Chaotic Systems

2012 ◽  
Vol 170-173 ◽  
pp. 3381-3384
Author(s):  
Li Xin Yang ◽  
Wan Sheng He ◽  
Xiao Jun Liu
Keyword(s):  
Adaptive Control ◽  
Parameter Identification ◽  
Systems Theory ◽  
Chaotic System ◽  
Chaotic Systems ◽  
Uncertain Parameters ◽  
Theory Analysis ◽  
Accurate Identification ◽  
Adaptive Law ◽  
The Stability

we study the parameter identification of a class of non-autonomous chaotic system in this paper. Based on the stability theory, we implement accurate identification by suitable adaptive law are given to identify any uncertain parameters of a class of nonautonmous chaotic systems. Theory analysis and numerical simulations of Dufffing chaotic system is presented to verify that the adaptive control to identify the parameters are effective and feasible.

Parameter Identification and Adaptive Control for Blood Pressure

1982 ◽  
Vol 15 (4) ◽  
pp. 1413-1418 ◽  
Author(s):  
B.K. Walker ◽  
T.-L. Chia ◽  
K.S. Stern ◽  
P.G. Katona
Keyword(s):  
Blood Pressure ◽  
Adaptive Control ◽  
Parameter Identification
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