scholarly journals Decentralized Adaptive Sabilization for Large-Scale Systems with Unknown Time-Delay

10.5772/14845 ◽  
2011 ◽  
Author(s):  
Jing Zhou ◽  
Gerhard
Keyword(s):  
Time Delay ◽  
Large Scale ◽  
Large Scale Systems

scholarly journals Controller Design of Multiinput Multioutput Time-Delay Large-Scale System

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Chia-Wei Lin ◽  
Tzuu-Hseng S. Li ◽  
Chung-Cheng Chen
Keyword(s):  
Time Delay ◽  
Feedback Linearization ◽  
Large Scale ◽  
Stability Characteristic ◽  
Test Bed ◽  
Pendulum System ◽  
Large Scale Systems ◽  
Almost Disturbance Decoupling ◽  
Inverted Pendulum System ◽  
Disturbance Decoupling

The paper presents a novel feedback linearization controller of nonlinear multiinput multioutput time-delay large-scale systems to obtain both the tracking and almost disturbance decoupling (ADD) performances. The significant contribution of this paper is to build up a control law such that the overall closed-loop system is stable for given initial condition and bounded tracking trajectory with the input-to-state-stability characteristic and almost disturbance decoupling performance. We have simulated the two-inverted-pendulum system coupled by a spring for networked control systems which has been used as a test bed for the study of decentralized control of large-scale systems.

Non-Fragile Decentralized Control for the Uncertain Singular Large-Scale Systems with Time-Delay

2011 ◽  
Vol 317-319 ◽  
pp. 2204-2207
Author(s):  
Dong Mei Yang ◽  
Qing Sun
Keyword(s):  
Time Delay ◽  
Linear Matrix Inequalities ◽  
Decentralized Control ◽  
Large Scale ◽  
Controller Design ◽  
Linear Matrix ◽  
Sufficient Condition ◽  
Matrix Inequalities ◽  
Large Scale Systems ◽  
System With Time Delay

This paper is concerned with the non-fragile decentralized controller design problem for uncertain singular large-scale system with time-delay. Sufficient condition for the controller is expressed in terms of linear matrix inequalities(LMIs). When this condition is feasible, the desired controller can be obtained with additive gain perturbations and multiplicative gain perturbations. Finally, a numerical example is also given to illustrate the effectiveness.

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