Abstract
We investigate regional controllability for time fractional diffusion systems of Caputo–Fabrizio type. The problem is studied via Hilbert uniqueness method (HUM) introduced by J. L. Lions in 1988. The used approach allow us to characterize the control of minimum energy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Miller, K., Ross, B.: An Introduction to the Fractional Calculus and Fractional Differential Equations. Wiley, New York (1993)
El Jai, A., Pritchard, A.J.: Sensors and Controls in the Analysis of Distributed Systems. Halsted Press (1988)
Ge, F., Chen, Y.Q., Kou, C.: Regional gradient controllability of sub-diffusion processes. J. Math. Anal. Appl. 440(2), 865–884 (2016)
Ge, F., Chen, Y.Q., Kou, C.: Regional boundary controllability of time fractional diffusion processes. IMA J. Math. Control Inf. 34(3), 871–888 (2016)
Caputo, M., Fabrizio, M.: A new definition of fractional derivative without singular kernel. Prog. Fract. Differ. Appl. 1(2), 73–85 (2015)
Julaighim Algahtani, O.J.: Comparing the Atangana–Baleanu and Caputo–Fabrizio derivative with fractional order: Allen Cahn model. Chaos, Solitons and Fractals 89, 552–559 (2016)
Małgorzata, K.: On Solutions of Linear Fractional Differential Equations of a Variational Type. Czestochowa University of Technology, Czestochowa (2009)
Atanacković, T.M., Pilipović, S., Zorica, D.: Properties of the Caputo-Fabrizio fractional derivative and its distributional settings. Fract. Calc. Appl. Anal. 21(1), 29–44 (2018)
Engel, K.J., Nagel, R.: A Short Course on Operator Semigroups. Springer, New York (2006)
Renardy, M., Rogers, R.C.: An Introduction to Partial Differential Equations. Springer, New York (2004)
Kaczorek, T.: Analysis of positive and stable fractional continuous-time linear systems by the use of Caputo-Fabrizio derivative. Control Cybern. 45(3), 289–299 (2016)
Mozyrska, D., Torres, D.F.M.: Minimal modified energy control for fractional linear control systems with the Caputo derivative. Carpathian J. Math. 26(2), 210–221 (2010)
Mozyrska, D., Torres, D.F.M.: Modified optimal energy and initial memory of fractional continuous-time linear systems. Signal Process. 91(3), 379–385 (2011)
El Jai, A., Pritchard, A.J.: Sensors and Actuators in Distributed Systems Analysis. Wiley, New York (1988)
Zerrik, E.: Regional Analysis of Distributed Parameter Systems. University of Rabat, Morocco (1993). PhD Thesis
El Jai, A., Pritchard, A.J., Simon, M.C., Zerrik, E.: Regional controllability of distributed systems. Int. J. Control 62, 1351–1365 (1995)
Karite, T., Boutoulout, A.: Regional enlarged controllability for parabolic semilinear systems. Int. J. Appl. Pure Math. 113(1), 113–129 (2017)
Karite, T., Boutoulout, A.: Regional boundary controllability of semilinear parabolic systems with state constraints. Int. J. Dyn. Syst. Differ. Equ. 8(1/2), 150–159 (2018)
Karite, T., Boutoulout, A., Torres, D.F.M.: Enlarged controllability of Riemann–Liouville fractional differential equations. J. Comput. Nonlinear Dynam. 13(9), 090907 (2018). 6 pp
Lions, J.L.: Optimal Control of Systems Governed by Partial Differential Equations. Springer, New York (1971)
Acknowledgements
This work has been carried out with a grant from Hassan II Academy of Sciences and Technology project N\(^\circ \) 630/2016.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Karite, T., Boutoulout, A., Khan, A. (2020). Minimum Energy Control of Fractional Linear Systems Using Caputo-Fabrizio Derivative. In: Zerrik, E., Melliani, S., Castillo, O. (eds) Recent Advances in Modeling, Analysis and Systems Control: Theoretical Aspects and Applications. Studies in Systems, Decision and Control, vol 243. Springer, Cham. https://doi.org/10.1007/978-3-030-26149-8_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-26149-8_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-26148-1
Online ISBN: 978-3-030-26149-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)