Adaptive fuzzy decentralized control for a class of MIMO large-scale nonlinear state delay systems with unmodeled dynamics subject to unknown input saturation and infinite number of actuator failures

2019 ◽  
Vol 475 ◽  
pp. 121-141 ◽  
Author(s):  
Ali Moradvandi ◽  
Mohammad Shahrokhi ◽  
Sayyed Alireza Malek
Keyword(s):  
Decentralized Control ◽  
Infinite Number ◽  
Large Scale ◽  
Input Saturation ◽  
Delay Systems ◽  
Unmodeled Dynamics ◽  
Unknown Input ◽  
State Delay ◽  
Actuator Failures ◽  
Nonlinear State

Control-Relevant Discretization of Nonlinear State Delay Systems Using the Matrix Exponential Algorithm

2012 ◽  
Vol 224 ◽  
pp. 475-479
Author(s):  
Yuan Liang Zhang
Keyword(s):  
Data Representation ◽  
Matrix Exponential ◽  
Delay Systems ◽  
Continuous Systems ◽  
Discretization Method ◽  
Discretization Scheme ◽  
State Delay ◽  
Finite Dimensional Representation ◽  
The Matrix ◽  
Nonlinear State

In this paper, a new discretization method to obtain the sampled data representation of the nonlinear state delay control system is proposed. This discretization method is based on the matrix exponential computation. The mathematical structure of the new discretization scheme is explored. Then it is applied to obtain the discrete form of the nonlinear state delay continuous systems. The resulting time discretization method provides a finite dimensional representation for nonlinear control systems with state delay, thereby enabling the application of existing controller design techniques to such systems. The performance of the proposed discretization procedure is evaluated by means of the simulation study. In the simulation various sampling rates and time delay values are considered. The results demonstrate that the proposed discretization scheme can assure the system’s accuracy requirements.

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