scholarly journals Dividing Genetic Computation Method for Robust Receding Horizon Control Design

2010 ◽  
Vol 2010 ◽  
pp. 1-10
Author(s):  
Tohru Kawabe
Keyword(s):  
Control Problem ◽  
Control Design ◽  
Receding Horizon Control ◽  
Design Approach ◽  
Computation Method ◽  
Data Systems ◽  
Sampled Data ◽  
Minimax Optimization ◽  
Receding Horizon ◽  
Numerical Example

A new robust Receding Horizon Control (RHC) design approach for the sampled-data systems is proposed. The approach is based on a dividing genetic computation of minimax optimization for a robust finite receding horizon control problem. Numerical example is given to show the effectiveness of the proposed method.

H∞ Robust State Feedback Sampled-Data Control of Interval Linear Systems

2020 ◽  
Author(s):  
Rafael M. Alves ◽  
André R. Fioravanti ◽  
Matheus Souza
Keyword(s):  
Control Problem ◽  
Linear Systems ◽  
Hybrid Systems ◽  
Upper Bound ◽  
State Feedback ◽  
Data Systems ◽  
Sampled Data ◽  
Data Control ◽  
Interval Linear ◽  
Interval Linear Systems

In this paper, we address the H∞ control problem for uncertain sampled-data systems rewritten as hybrid systems. The conditions proposed are formulated as intervals to ensure stability and design controllers that guarantee an upper bound for an associated H∞ norm. A numerical example points out the main features of the proposed method.

Unfragile Control of Uncertain State-Delay Sampled-Data System

2012 ◽  
Vol 433-440 ◽  
pp. 7499-7504
Author(s):  
Xue Liang Wang
Keyword(s):  
Control Problem ◽  
Robust Stability ◽  
Lyapunov Method ◽  
Data System ◽  
Sufficient Condition ◽  
Matrix Inequality ◽  
Sampled Data ◽  
State Delay ◽  
Numerical Example

The unfragile control problem of a class of uncertain state-delay sampled system is discussed. Applying Lyapunov method, and combining the properties of matrix inequality, the sufficient condition of robust stability is given, and the unfragile controller is designed. Finally a numerical example illustrates the effectiveness and the availability for the design.

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