6,400 research outputs found
A Separation Principle on Lie Groups
For linear time-invariant systems, a separation principle holds: stable
observer and stable state feedback can be designed for the time-invariant
system, and the combined observer and feedback will be stable. For non-linear
systems, a local separation principle holds around steady-states, as the
linearized system is time-invariant. This paper addresses the issue of a
non-linear separation principle on Lie groups. For invariant systems on Lie
groups, we prove there exists a large set of (time-varying) trajectories around
which the linearized observer-controler system is time-invariant, as soon as a
symmetry-preserving observer is used. Thus a separation principle holds around
those trajectories. The theory is illustrated by a mobile robot example, and
the developed ideas are then extended to a class of Lagrangian mechanical
systems on Lie groups described by Euler-Poincare equations.Comment: Submitted to IFAC 201
Gradient-like observer design on the Special Euclidean group SE(3) with system outputs on the real projective space
A nonlinear observer on the Special Euclidean group for full
pose estimation, that takes the system outputs on the real projective space
directly as inputs, is proposed. The observer derivation is based on a recent
advanced theory on nonlinear observer design. A key advantage with respect to
existing pose observers on is that we can now incorporate in a
unique observer different types of measurements such as vectorial measurements
of known inertial vectors and position measurements of known feature points.
The proposed observer is extended allowing for the compensation of unknown
constant bias present in the velocity measurements. Rigorous stability analyses
are equally provided. Excellent performance of the proposed observers are shown
by means of simulations
Integral Control on Lie Groups
In this paper, we extend the popular integral control technique to systems
evolving on Lie groups. More explicitly, we provide an alternative definition
of "integral action" for proportional(-derivative)-controlled systems whose
configuration evolves on a nonlinear space, where configuration errors cannot
be simply added up to compute a definite integral. We then prove that the
proposed integral control allows to cancel the drift induced by a constant bias
in both first order (velocity) and second order (torque) control inputs for
fully actuated systems evolving on abstract Lie groups. We illustrate the
approach by 3-dimensional motion control applications.Comment: Resubmitted to Systems and Control Letters, February 201
Abstraction and Control for Groups of Robots
This paper addresses the general problem of controlling a large number of robots required to move as a group. We propose an abstraction based on the definition of a map from the configuration space Q of the robots to a lower dimensional manifold A, whose dimension is independent of the number of robots. In this paper, we focus on planar fully actuated robots. We require that the manifold has a product structure A = G x S, where G is a Lie group, which captures the position and orientation of the ensemble in the chosen world coordinate frame, and S is a shape manifold, which is an intrinsic characterization of the team describing the “shape” as the area spanned by the robots. We design decoupled controllers for the group and shape variables. We derive controllers for individual robots that guarantee the desired behavior on A. These controllers can be realized by feedback that depends only on the current state of the robot and the state of the manifold A. This has the practical advantage of reducing the communication and sensing that is required and limiting the complexity of individual robot controllers, even for large numbers of robots
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