Closed-loop identification of uncertainty models for robust control design: a set membership approach

2002 ◽  
Author(s):  
M. Milanese ◽  
M. Taragna ◽  
P.M.J. Van Den Hof
Keyword(s):  
Robust Control ◽  
Closed Loop ◽  
Control Design ◽  
Set Membership ◽  
Closed Loop Identification ◽  
Robust Control Design ◽  
Uncertainty Models

scholarly journals Robust Control of Underactuated Systems: Higher Order Integral Sliding Mode Approach

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Sami ud Din ◽  
Qudrat Khan ◽  
Fazal ur Rehman ◽  
Rini Akmeliawati
Keyword(s):  
Robust Control ◽  
Closed Loop ◽  
Sliding Mode ◽  
Integral Manifold ◽  
Control Design ◽  
Underactuated Systems ◽  
Control Laws ◽  
Beam System ◽  
Integral Manifolds ◽  
Robust Control Design

This paper presents a robust control design for the class of underactuated uncertain nonlinear systems. Either the nonlinear model of the underactuated systems is transformed into an input output form and then an integral manifold is devised for the control design purpose or an integral manifold is defined directly for the concerned class. Having defined the integral manifolds discontinuous control laws are designed which are capable of maintaining sliding mode from the very beginning. The closed loop stability of these systems is presented in an impressive way. The effectiveness and demand of the designed control laws are verified via the simulation and experimental results of ball and beam system.

Set-membership identification and its application in robust control design

1999 ◽  
Vol 32 (2) ◽  
pp. 3680-3685
Author(s):  
Xu Xiangyang ◽  
Zhu Heyun ◽  
Sun Youxian
Keyword(s):  
Robust Control ◽  
Control Design ◽  
Set Membership ◽  
Robust Control Design

scholarly journals Identification, Uncertain Modelling, and Robust Control of Embedded Systems

2021 ◽  
pp. 1-20
Author(s):  
Tsonyo Slavov ◽  
Jordan Kralev ◽  
Petko Petkov
Keyword(s):  
Robust Control ◽  
Control Design ◽  
Black Box ◽  
Robust Controllers ◽  
Probabilistic Uncertainty ◽  
Multivariable Control Systems ◽  
Uncertain Model ◽  
Robust Control Design ◽  
Uncertainty Models

This paper presents a methodology embodying identification procedures, uncertain modeling, and robust control design of embedded multivariable control systems. Concerning the identification, this methodology involved the determination of probabilistic uncertainty bounds for multivariable plants based on the black box or gray box identification. The bounds obtained were used in the derivation of an uncertain model in the form of upper Linear Fractional Transformation (LFT). This model was used in the robust control design implementing μ-synthesis. The problems arising on the different design stages were illustrated by an example presenting the embedded robust control of a two-input two-output analog model. The plant was identified by using black box and gray box identification methods that produced the necessary information to develop the corresponding uncertainty models. Two discrete-time robust controllers relevant to the two types of identification were designed and embedded in the physical system. Simulation results for the embedded closed-loop system and experimental results obtained by using the robust controllers were compared.

Sign in / Sign up

Export Citation Format

Share Document