Title :
Gradient-Like Observers for Invariant Dynamics on a Lie Group
Author :
Lageman, Christian ; Trumpf, Jochen ; Mahony, Robert
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. de Liege, Liege, Belgium
Abstract :
This paper proposes a design methodology for non-linear state observers for invariant kinematic systems posed on finite dimensional connected Lie groups, and studies the associated fundamental system structure. The concept of synchrony of two dynamical systems is specialized to systems on Lie groups. For invariant systems this leads to a general factorization theorem of a nonlinear observer into a synchronous (internal model) term and an innovation term. The synchronous term is fully specified by the system model. We propose a design methodology for the innovation term based on gradient-like terms derived from invariant or non-invariant cost functions. The resulting nonlinear observers have strong (almost) global convergence properties and examples are used to demonstrate the relevance of the proposed approach.
Keywords :
Lie groups; gradient methods; nonlinear control systems; observers; state-space methods; Lie group invariant dynamics; dynamical systems synchrony; fundamental system structure; general factorization theorem; global convergence properties; gradient like observers; invariant kinematic systems; non invariant cost functions; nonlinear state observers; Algorithm design and analysis; Design methodology; Kinematics; Nonlinear dynamical systems; Observers; Robust stability; State estimation; State-space methods; Technological innovation; Vehicle dynamics; Gradient systems; lie groups; observers; synchrony;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2009.2034937