scholarly journals Observer-Based Robust Control of Uncertain Fuzzy Models with Pole Placement Constraints

10.5772/16578 ◽  
2011 ◽  
Author(s):  
Pages Olivier ◽  
El Hajjaji
Keyword(s):  
Robust Control ◽  
Pole Placement ◽  
Fuzzy Models

scholarly journals On the Robust Multiple Objective Control with Simultaneous Pole Placement in LMI Regions

2021 ◽  
Vol 20 ◽  
pp. 272-280
Author(s):  
Antonis Vouzikas ◽  
Alexandros Gazis
Keyword(s):  
Robust Control ◽  
Complex Plane ◽  
Uncertain Systems ◽  
Closed Loop ◽  
Pole Placement ◽  
Multiple Objective ◽  
Control Laws ◽  
Control Approach ◽  
Guaranteed Cost ◽  
Objective Control

This article studies the problem of designing robust control laws to achieve multiple performance objectives for linear uncertain systems. Specifically, in this study we have selected one of the control objectives to be a closed-loop pole placement in specific regions of the left-half complex plane. As such, a guaranteed cost based multi-objective control approach is proposed and compared with the H_2/H_∞control by means of an application example

scholarly journals H 2 Robust Control with Pole Placement

1993 ◽  
Vol 26 (2) ◽  
pp. 73-78
Author(s):  
J.C. Geromel ◽  
G. Garcia ◽  
J. Bernussou
Keyword(s):  
Robust Control ◽  
Pole Placement

H2/H∞ Robust Control Design for Rotary Inverted Pendulum

2020 ◽  
Author(s):  
Luís Felipe Vieira Silva ◽  
Thiago Damasceno Cordeiro ◽  
Ícaro Bezerra Queiroz de Araújo ◽  
Heitor Judiss Savino
Keyword(s):  
Robust Control ◽  
Inverted Pendulum ◽  
Control Design ◽  
Lyapunov Theory ◽  
Pole Placement ◽  
Linear Matrix ◽  
Lagrange Formulation ◽  
Control Scheme ◽  
Robust Control Design ◽  
Rotary Inverted Pendulum

This works presents a H2/H∞ robust control scheme for a rotary inverted pendulum using Linear Matrix Inequality (LMI) approach based on Lyapunov theory and taking into account the uncertainty of the position of the pendulum to the servo-basis of the system. The dynamic model of the system is obtained by Euler-Lagrange formulation and the controller is obtained by solving a convex optimization problem. Experiments using this control scheme with changes in the position of the pendulum were made to compare the performance with another controller using pole placement control design. Results show that only H2/H∞ controller is able to maintain the stability of the system for all experiments performed in this work.

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