Programmable Logic Controllers Based on the Algebraic Riccati Equation Solution

PODRŽAJ, Primož ;KARIŽ, Zoran .
Programmable Logic Controllers Based on the Algebraic Riccati Equation Solution. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 52, n.12, p. 852-862, august 2017. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/programmable-logic-controllers-based-on-the-algebraic-riccati-equation-solution/>. Date accessed: 23 apr. 2024. 
doi:http://dx.doi.org/.

Podržaj, P., & Kariž, Z.
(2006).
Programmable Logic Controllers Based on the Algebraic Riccati Equation Solution.
Strojniški vestnik - Journal of Mechanical Engineering, 52(12), 852-862.
doi:http://dx.doi.org/

@article{.,
	author = {Primož  Podržaj and Zoran  Kariž},
	title = {Programmable Logic Controllers Based on the Algebraic Riccati Equation Solution},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {52},
	number = {12},
	year = {2006},
	keywords = {adaptive systems; Riccati equations; programmable logic controllers; numerical algorithms; },
	abstract = {This paper deals with the synthesis of a suboptimal controller, based on the solution of the algebraic Riccati equation (ARE). The numerical procedure for obtaining the solution is presented. In applications the controlled system parameters often differ from the ones used in the ARE. In this case the optimality of the control system and even its stability are questionable. Therefore, it would be very useful to design an adaptive linear suboptimal controller. Such a controller should be able to detect changes in the system parameters and adjust its parameters.},
	issn = {0039-2480},	pages = {852-862},	doi = {},
	url = {https://www.sv-jme.eu/article/programmable-logic-controllers-based-on-the-algebraic-riccati-equation-solution/}
}

Podržaj, P.,Kariž, Z.
2006 August 52. Programmable Logic Controllers Based on the Algebraic Riccati Equation Solution. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 52:12

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%A Kariž, Zoran 
%D 2006
%T Programmable Logic Controllers Based on the Algebraic Riccati Equation Solution
%B 2006
%9 adaptive systems; Riccati equations; programmable logic controllers; numerical algorithms; 
%! Programmable Logic Controllers Based on the Algebraic Riccati Equation Solution
%K adaptive systems; Riccati equations; programmable logic controllers; numerical algorithms; 
%X This paper deals with the synthesis of a suboptimal controller, based on the solution of the algebraic Riccati equation (ARE). The numerical procedure for obtaining the solution is presented. In applications the controlled system parameters often differ from the ones used in the ARE. In this case the optimality of the control system and even its stability are questionable. Therefore, it would be very useful to design an adaptive linear suboptimal controller. Such a controller should be able to detect changes in the system parameters and adjust its parameters.
%U https://www.sv-jme.eu/article/programmable-logic-controllers-based-on-the-algebraic-riccati-equation-solution/
%0 Journal Article
%R 
%& 852
%P 11
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 52
%N 12
%@ 0039-2480
%8 2017-08-18
%7 2017-08-18

Podržaj, Primož, & Zoran  Kariž.
"Programmable Logic Controllers Based on the Algebraic Riccati Equation Solution." Strojniški vestnik - Journal of Mechanical Engineering [Online], 52.12 (2006): 852-862. Web.  23 Apr. 2024

TY  - JOUR
AU  - Podržaj, Primož 
AU  - Kariž, Zoran 
PY  - 2006
TI  - Programmable Logic Controllers Based on the Algebraic Riccati Equation Solution
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - adaptive systems; Riccati equations; programmable logic controllers; numerical algorithms; 
N2  - This paper deals with the synthesis of a suboptimal controller, based on the solution of the algebraic Riccati equation (ARE). The numerical procedure for obtaining the solution is presented. In applications the controlled system parameters often differ from the ones used in the ARE. In this case the optimality of the control system and even its stability are questionable. Therefore, it would be very useful to design an adaptive linear suboptimal controller. Such a controller should be able to detect changes in the system parameters and adjust its parameters.
UR  - https://www.sv-jme.eu/article/programmable-logic-controllers-based-on-the-algebraic-riccati-equation-solution/

@article{{}{.},
	author = {Podržaj, P., Kariž, Z.},
	title = {Programmable Logic Controllers Based on the Algebraic Riccati Equation Solution},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {52},
	number = {12},
	year = {2006},
	doi = {},
	url = {https://www.sv-jme.eu/article/programmable-logic-controllers-based-on-the-algebraic-riccati-equation-solution/}
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TY  - JOUR
AU  - Podržaj, Primož 
AU  - Kariž, Zoran 
PY  - 2017/08/18
TI  - Programmable Logic Controllers Based on the Algebraic Riccati Equation Solution
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 52, No 12 (2006): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - adaptive systems, Riccati equations, programmable logic controllers, numerical algorithms, 
N2  - This paper deals with the synthesis of a suboptimal controller, based on the solution of the algebraic Riccati equation (ARE). The numerical procedure for obtaining the solution is presented. In applications the controlled system parameters often differ from the ones used in the ARE. In this case the optimality of the control system and even its stability are questionable. Therefore, it would be very useful to design an adaptive linear suboptimal controller. Such a controller should be able to detect changes in the system parameters and adjust its parameters.
UR  - https://www.sv-jme.eu/article/programmable-logic-controllers-based-on-the-algebraic-riccati-equation-solution/

Podržaj, Primož, AND Kariž, Zoran.
"Programmable Logic Controllers Based on the Algebraic Riccati Equation Solution" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 52 Number 12 (18 August 2017)