Abstract
Using some concepts of observability, based on algebraic properties of fractional-order systems, we can synthesize observers for nonlinear fractional-order systems. The technique used in this chapter is based on Rafael Martínez-Guerra et al., Fractional Algebraic Observability property Synchronization of Integral and Fractional Order Chaotic Systems: A Differential Algebraic and Differential Geometric Approach With Selected Applications in Real-Time, Springer 2015, [1], Rafael Martínez-Guerra and Christopher D. Cruz-Ancona. Algorithms of Estimation for Nonlinear Systems: A Differential and Algebraic Viewpoint, Springer 2017, [2]. The former verifies whether a given state of a system can be estimated from a function that depends on the output, input and their finite number of fractional-order derivatives, i.e., if state is reconstructible from output and input measurements. The methodology proposed consist in finding a canonical form for the original system, and this is obtained through a mapping given by the output of the system and its successive fractional-order derivatives. Then, we can design an observer to estimate the state of the transformed system, so-called Fractional Generalized Observability Canonical Form Rafael Martínez-Guerra et al., Fractional Algebraic Observability property Synchronization of Integral and Fractional-Order Chaotic Systems: A Differential Algebraic and Differential Geometric Approach With Selected Applications in Real-Time, Springer 2015, [1]. Finally, from an inverse mapping, obtain the estimates of the original state.
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Notes
- 1.
This assures the unique solution, see [4].
- 2.
- 3.
For \(z=(z_1,\ldots ,z_n)^T\in \mathbb {R}^{n}\), \(\parallel x \parallel _{\infty }:=\max \left\{ |x_1 |,\ldots ,\vert x_n\vert \right\} \).
- 4.
Due to lack of space we only compare the performance of both observers based on the same observed trajectories with:
$$\begin{aligned} ISE=\int _{T_1}^{T_2}\left( \kappa \varepsilon _i(\tau )\right) ^2d\tau . \end{aligned}$$This index tolerates small errors for long periods and penalize long errors.
References
Rafael Martínez-Guerra, Claudia A. Pérez-Pinacho & Gian Carlo Gómez-Cortés. Synchronization of Integral and Fractional Order Chaotic Systems: A Differential Algebraic and Differential Geometric Approach With Selected Applications in Real-Time, Springer 2015.
Rafael Martínez-Guerra & Christopher D. Cruz-Ancona. Algorithms of Estimation for Nonlinear Systems: A Differential and Algebraic Viewpoint, Springer 2017.
D. Matignon & B. d’Andrea-Novel. Observer-based controllers for fractional differential systems, Proc. of the 36th CDC, San Diego, Ca. USA, 5: 4967–4972, (December) 1997.
Kilbas, A., Srivastava, H., and Trujillo, J., Theory and Applications of Fractional Differential Equations., Elsevier B. V., (2006).
Kai Diethelm. The Analysis of Fractional Differential Equations: An Application-Oriented Exposition Using Differential Operators of Caputo Type, Lecture Notes in Mathematics, Springer 2004.
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Martínez-Guerra, R., Pérez-Pinacho, C.A. (2018). Estimators for a Class of Commensurate Fractional-Order Systems with Caputo Derivative. In: Advances in Synchronization of Coupled Fractional Order Systems. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-93946-9_6
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DOI: https://doi.org/10.1007/978-3-319-93946-9_6
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