Page 646 - Mathematical Techniques of Fractional Order Systems
P. 646
Enhanced Fractional Order Chapter | 20 617
simulation example, chaos synchronization of two fractional order systems,
is given to demonstrate the effectiveness of the proposed methodology. The
significance of the proposed control scheme in the simulation for different
values of q is manifest. Simulation results show that a fast synchronization
of drive and response can be achieved and as q is reduced the chaos is seen
reduced, i.e., the synchronization error is reduced, accordingly. The asymp-
totic stability of the overall control system is established and an illustrative
simulation example, chaos synchronization of two fractional order systems,
is realized with the Gru ¨nwald Letnikov numerical approximation approach
to demonstrate the effectiveness of the proposed methodology.
Future research efforts will concern observer-based nonlinear adaptive
control of uncertain or unknown fractional order systems. The problem of
online identification and parameters estimation for such systems is also a
good challenge. Another topic of interest is the design of new robust adap-
tive control laws for the class of fractional discrete nonlinear systems based
on various control configurations.
REFERENCES
Aguila-Camacho, N., Duarte-Mermoud, M.A., Gallegos, J.A., 2014. Lyapunov functions for
fractional order systems. Commun Nonlinear Sci Numer Simulat 19 (9), 2951 2957.
Arena, P., Caponetto, R., 1998. Bifurcation and chaos in non-integer order cellular neural net-
works. Int J Bifurcat Chaos 8 (7), 527 1539.
Arena, P., Caponetto, R., Fortuna, L. and Porto, D. 1997. Chaos in a fractional order Duffing
system. In: Proceedings ECCTD. pp. 1259 1262.
Azar, A.T., 2010a. Fuzzy Systems. IN-TECH, Vienna, Austria. 978-953-7619-92-3.
Azar, A.T., 2010b. Adaptive Neuro-Fuzzy Systems. In: Azar, A.T. (Ed.), Fuzzy Systems. IN-
TECH, Vienna, Austria. 978-953-7619-92-3.
Azar, A.T., 2012. Overview of Type-2 Fuzzy logic systems. International Journal of Fuzzy
System Applications (IJFSA) 2 (4), 1 28.
Azar, A.T., Serrano, F.E., 2015a. Stabilization and Control of Mechanical Systems with
Backlash. In: Azar, A.T., Vaidyanathan, S. (Eds.), Advanced Intelligent Control Engineering
and Automation, Advances in Computational Intelligence and Robotics (ACIR) Book
Series. IGI-Global, USA.
Azar, A.T., Serrano, F.E., 2015b. Design and Modeling of Anti Wind Up PID Controllers.
In: Zhu, Q., Azar, A.T. (Eds.), Complex system modelling and control through intelligent
soft computations, Studies in Fuzziness and Soft Computing, Vol. 319. Springer-Verlag,
Germany, pp. 1 44. Available from: http://dx.doi.org/10.1007/978-3-319-12883-2_1.1.
Azar, A.T., Serrano, F.E., 2015c. Adaptive Sliding mode control of the Furuta pendulum.
In: Azar, A.T., Zhu, Q. (Eds.), Advances and Applications in Sliding Mode Control systems,
Studies in Computational Intelligence, Vol. 576. Springer-Verlag GmbH Berlin/Heidelberg,
pp. 1 42. Available from: http://dx.doi.org/10.1007/978-3-319-11173-5_1.
Azar, A.T., Serrano, F.E., 2015d. Deadbeat Control for Multivariable Systems with Time Varying
Delays. In: Azar, A.T., Vaidyanathan, S. (Eds.), Chaos Modeling and Control Systems Design,
Studies in Computational Intelligence, Vol. 581. Springer-Verlag GmbH Berlin/Heidelberg,
pp. 97 132. Available from: http://dx.doi.org/10.1007/978-3-319-13132-0_6.

