A Generalization of Ackermann’s Formula for the Design of Continuous and Discontinuous Observers

This paper proposes a novel design algorithm for nonlinear state observers for linear time-invariant systems. The approach is based on a well-known family of homogeneous differentiators and can be regarded as a generalization of Ackermann’s formula. The method includes the classical Luenberger observer as well as continuous or discontinuous nonlinear observers, which enable finite time convergence. For strongly observable systems with bounded unknown perturbation at the input the approach also involves the design of a robust higher order sliding mode observer. An inequality condition for robustness in terms of the observer gains is presented. The properties of the proposed observer are also utilized in the reconstruction of the unknown perturbation and robust state-feedback control.

[1]  Andrey Polyakov,et al.  On homogeneity and its application in sliding mode control , 2014, Journal of the Franklin Institute.

[2]  G. Basile,et al.  On the observability of linear, time-invariant systems with unknown inputs , 1969 .

[3]  M. Hautus Strong detectability and observers , 1983 .

[4]  Petros G. Voulgaris,et al.  On optimal ℓ∞ to ℓ∞ filtering , 1995, Autom..

[5]  Arie Levant,et al.  Proper discretization of homogeneous differentiators , 2014, Autom..

[6]  Alexander S. Poznyak,et al.  Observation of linear systems with unknown inputs via high-order sliding-modes , 2007, Int. J. Syst. Sci..

[7]  Aleksej F. Filippov,et al.  Differential Equations with Discontinuous Righthand Sides , 1988, Mathematics and Its Applications.

[8]  Christopher Edwards,et al.  Sliding Mode Control and Observation , 2013 .

[9]  Emmanuel Cruz-Zavala,et al.  Lyapunov Functions for Continuous and Discontinuous Differentiators , 2016 .

[10]  Garry A. Einicke,et al.  Robust extended Kalman filtering , 1999, IEEE Trans. Signal Process..

[11]  Avrie Levent,et al.  Robust exact differentiation via sliding mode technique , 1998, Autom..

[12]  Sarah K. Spurgeon,et al.  An arbitrary-order differentiator design paradigm with adaptive gains , 2018, Int. J. Control.

[13]  Hassan K. Khalil,et al.  High-gain observers in nonlinear feedback control , 2009, 2009 IEEE International Conference on Control and Automation.

[14]  S. Żak,et al.  State observation of nonlinear uncertain dynamical systems , 1987 .

[15]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[16]  Vadim I. Utkin,et al.  Sliding mode control in electromechanical systems , 1999 .

[17]  Christopher Edwards,et al.  Sliding mode control : theory and applications , 1998 .

[18]  Der Entwurf linearer Regelungssysteme im Zustandsraum (Design of a Linear Control System Involving State-Space Vector Feedback), , 1971 .

[19]  R. E. Kalman,et al.  New Results in Linear Filtering and Prediction Theory , 1961 .

[20]  W. Marsden I and J , 2012 .