scholarly journals Selective strong structural minimum-cost resilient co-design for regular descriptor linear systems

Automatica ◽  
2019 ◽  
Vol 102 ◽  
pp. 80-85 ◽  
Author(s):  
Nipun Popli ◽  
Sérgio Pequito ◽  
Soummya Kar ◽  
A. Pedro Aguiar ◽  
Marija Ilić
Keyword(s):  
Linear Systems ◽  
Minimum Cost ◽  
Descriptor Linear Systems

Corrigendum to “Selective strong structural minimum-cost resilient co-design for regular descriptor linear systems” [Automatica 102 (2019) 80–85]

Automatica ◽  
2019 ◽  
Vol 107 ◽  
pp. 612
Author(s):  
Nipun Popli ◽  
Sérgio Pequito ◽  
Soummya Kar ◽  
A. Pedro Aguiar ◽  
Marija Ilić
Keyword(s):  
Linear Systems ◽  
Minimum Cost ◽  
Descriptor Linear Systems

scholarly journals Fault diagnosis for discrete-time descriptor linear systems

2015 ◽  
Vol 48 (21) ◽  
pp. 1238-1243 ◽  
Author(s):  
G.-L. Osorio-Gordillo ◽  
M. Darouach ◽  
C.-M. Astorga-Zaragoza ◽  
L. Boutat-Baddas
Keyword(s):  
Fault Diagnosis ◽  
Linear Systems ◽  
Discrete Time ◽  
Descriptor Linear Systems

Fault estimation for descriptor linear systems based on the generalised dynamic observer

2018 ◽  
Vol 49 (11) ◽  
pp. 2398-2409
Author(s):  
Gloria Osorio-Gordillo ◽  
Carlos Astorga-Zaragoza ◽  
Abraham Pérez Estrada ◽  
Rodolfo Vargas-Méndez ◽  
Mohamed Darouach ◽  
...  
Keyword(s):  
Linear Systems ◽  
Fault Estimation ◽  
Descriptor Linear Systems ◽  
Dynamic Observer

Robust model reference control for second-order descriptor linear systems subject to parameter uncertainties

2021 ◽  
pp. 014233122110450
Author(s):  
Guang-Tai Tian ◽  
Guang-Ren Duan
Keyword(s):  
Linear Systems ◽  
Tracking Error ◽  
Sufficient Conditions ◽  
Second Order ◽  
Parameter Uncertainties ◽  
Robust Controller ◽  
Model Reference ◽  
Robust Model ◽  
Robust Compensation ◽  
Descriptor Linear Systems

This paper is devoted to designing the robust model reference controller for uncertain second-order descriptor linear systems subject to parameter uncertainties. The parameter uncertainties are assumed to be norm-bounded. The design of a robust controller can be divided into two separate problems: a robust stabilization problem and a robust compensation problem. Based on the solution of generalized Sylvester matrix equations, we obtain some sufficient conditions to guarantee the complete parameterization of the robust controller. The parametric forms are expressed by a group of parameter vectors which reveal the degrees of freedom existing in the design of the compensator and can be utilized to solve the robust compensation problem. In order to reduce the effect of parameter uncertainties on the tracking error vector, the robust compensation problem is converted into a convex optimization problem with a set of linear matrix equation constraints. A simulation example is provided to illustrate the effectiveness of the proposed technique.

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