Author_Institution :
Dept. of Mech. Eng., Maryland Univ., College Park, MD, USA
Abstract :
We continue the study of geometric/asymptotic properties of adaptive nonlinear systems. The long-standing question of whether the parameter estimates converge to stabilizing values, stabilizing if used in a nonadaptive controller, is addressed in the general set-point regulation case. The key quantifier of excitation in an adaptive system is the rank r of the regressor matrix at the resulting equilibrium. Our earlier paper (1996) showed that when either r=0 or r=p (where p is the number of uncertain parameters), the set of initial conditions leading to destabilizing estimates is of measure zero. Intuition suggests the same for the intermediate case 0
Keywords :
"Adaptive systems","Nonlinear systems","Control systems","Automatic control","Nonlinear control systems","Roentgenium","Feedback control","Linear systems","Robotics and automation","Adaptive control"
Journal_Title :
IEEE Transactions on Automatic Control