Comparison of Low-complexity Controllers in Varying Time-delay Systems

2008 ◽  
Vol 1 (2) ◽  
pp. 111-119 ◽  
Author(s):  
Lasse M. ERIKSSON ◽  
Heikki N. KOIVO
Keyword(s):  
Time Delay ◽  
Low Complexity ◽  
Delay Systems ◽  
Time Delay Systems ◽  
Varying Time Delay

The Decoupling Technique for Continuously Varying Time Delay Systems

2004 ◽  
Vol 12 (1/2) ◽  
pp. 225-239 ◽  
Author(s):  
Norma Ortiz ◽  
Peter R. Wolenski
Keyword(s):  
Time Delay ◽  
Delay Systems ◽  
Time Delay Systems ◽  
Varying Time Delay

Symbolic models for time-varying time-delay systems via alternating approximate bisimulation

2014 ◽  
Vol 25 (14) ◽  
pp. 2328-2347 ◽  
Author(s):  
Giordano Pola ◽  
Pierdomenico Pepe ◽  
Maria Domenica Di Benedetto
Keyword(s):  
Time Delay ◽  
Delay Systems ◽  
Time Varying ◽  
Time Delay Systems ◽  
Varying Time Delay

scholarly journals Study of adaptive Fuzzy Smith control for time-delay systems

2015 ◽  
Vol 18 (3) ◽  
pp. 143-149
Author(s):  
Tai Trong Nguyen ◽  
Thanh Van Dao
Keyword(s):  
Time Delay ◽  
Control Method ◽  
Fuzzy Controller ◽  
Smith Predictor ◽  
Delay Systems ◽  
Time Delay Systems ◽  
Control Effect ◽  
Performance Simulation ◽  
Adaptive Fuzzy ◽  
Varying Time Delay

In this paper, an adaptive Fuzzy Smith control method is presented to control the varying time delay systems. Based on the online parameter estimation, Smith predictor can be updated online which can eliminate the time delay element. This method overcame the shortcomings that control effect of conventional Smith predictor will be worse when the parameters of time delay systems change. Furthermore, an adaptive fuzzy controller adjusts online the PID control parameters to improve the control performance. Simulation results show the effectiveness of the proposed method.

Sign in / Sign up

Export Citation Format

Share Document