Fuzzy control design for perturbed fuzzy time-delay large-scale systems

Author(s):  
Rong-Jyue Wang ◽  
Wen-June Wang
2005 ◽  
Vol 13 (1) ◽  
pp. 152-163 ◽  
Author(s):  
Feng-Hsiag Hsiao ◽  
Jung-Dong Hwang ◽  
Cheng-Wu Chen ◽  
Zhi-Ren Tsai

2015 ◽  
Vol 44 (3) ◽  
pp. 247-253
Author(s):  
Branislav Rehak

A control design for a large-scale system using LMI optimization is proposed. The control is designed in a way such that the LQ cost in the case of the decentralized control  does not exceed a certain limit. The optimized quantity are the values of the control gain matrices. The methodology is useful even for finding a decomposition of the system, however, some expert knowledge is necessary in this case. The capabilities of the algorithm are illustrated by two examples.DOI: http://dx.doi.org/10.5755/j01.itc.44.3.6464


2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Chia-Wei Lin ◽  
Tzuu-Hseng S. Li ◽  
Chung-Cheng Chen

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.


1995 ◽  
Vol 28 (23) ◽  
pp. 47-52
Author(s):  
M.R. Katebi ◽  
M.A. Johnson

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