Abstract
This paper presents new results which follow from the particular structural properties of a rigid robot model while the system is under an action of an output feedback. Given a rigid robot model, the controller ensures in addition to the global asymptotic stability property, an eigenvalues assignment of the resulting linearized model within the stable region of the complex plane. In this way required global and local control objectives can be achieved. Furthermore, the design of the controller is accomplished by applying a sort of decoupling procedure that decomposes the entire nonlinear closed-loop system to a set of reduced-order nonlinear systems. The dependence of the eigenvalues associated with the linearized model, on the system uncertainties, is investigated. Numerical examples and simulation results that demonstrate the potential of the approach, are presented.
Original language | English |
---|---|
Pages (from-to) | 3337-3342 |
Number of pages | 6 |
Journal | Proceedings of the IEEE Conference on Decision and Control |
Volume | 4 |
State | Published - 1 Dec 2003 |
Event | 42nd IEEE Conference on Decision and Control - Maui, HI, United States Duration: 9 Dec 2003 → 12 Dec 2003 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Modeling and Simulation
- Control and Optimization