Robust stability and performance analysis for state-space systems via quadratic Lyapunov bounds
SIAM Journal on Matrix Analysis and Applications
IEEE Transactions on Neural Networks
Hi-index | 22.14 |
A direct robust adaptive control framework for nonlinear uncertain systems with constant linearly parameterized uncertainty and nonlinear state-dependent uncertainty is developed. The proposed framework is Lyapunov-based and guarantees partial asymptotic robust stability of the closed-loop system; that is, asymptotic robust stability with respect to part of the closed-loop system states associated with the plant. Finally, a numerical example is provided to demonstrate the efficacy of the proposed approach.