Decentralized adaptive neural control of nonlinear interconnected large-scale systems with unknown time delays and input saturation

2011 ◽  
Vol 74 (14-15) ◽  
pp. 2277-2283 ◽  
Author(s):  
Tieshan Li ◽  
Ronghui Li ◽  
Junfang Li
Keyword(s):  
Time Delays ◽  
Neural Control ◽  
Large Scale ◽  
Input Saturation ◽  
Adaptive Neural Control ◽  
Large Scale Systems ◽  
Unknown Time Delays

Robust Decentralized Adaptive Control for Interconnected Systems With Time Delays

2005 ◽  
Vol 127 (4) ◽  
pp. 656-662 ◽  
Author(s):  
Changchun Hua ◽  
Xinping Guan ◽  
Peng Shi
Keyword(s):  
Time Delays ◽  
Large Scale ◽  
Robust Stabilization ◽  
Interconnected Systems ◽  
Multiple Time ◽  
Time Varying ◽  
Nonlinear Functions ◽  
Feedback Controllers ◽  
Large Scale Systems ◽  
Closed Loop Systems

The problem of robust stabilization for a class of time-varying nonlinear large-scale systems subject to multiple time-varying delays in the interconnections is considered. The interconnections satisfy the match condition, and are bounded by nonlinear functions that may contain a high-order polynomial with a time delay. Without the knowledge of these bounds, we present adaptive state feedback controllers that are continuous and independent of time delays. Based on the Lyapunov stability theorem, we prove that the controllers can render the closed loop systems uniformly ultimately bounded stable. We also apply the result to constructing adaptive feedback controllers to stabilize a class of interconnected systems whose nominal systems are linear. Finally, several examples are given to show the potential of the proposed techniques.

Sign in / Sign up

Export Citation Format

Share Document