Probabilistic robustness analysis and synthesis for nonlinear systems with uncertain parameters are presented. Monte Carlo simulation is used to estimate the likelihood of system ...
— In this paper, we consider a motion planning problem for a class of constrained nonlinear systems. In each simplex of a triangulation of the set of states, the nonlinear dynami...
—A high performance adaptive robust control (ARC) algorithm is developed for a class of nonlinear system with unknown input backlash, parametric uncertainties and uncertain nonli...
In order to achieve global stability using well-established linear control theory and techniques, a multiple model approach has attracted increased attention in recent years. In o...
F. Y. Wang, Parisa A. Bahri, Peter L. Lee, I. T. C...
— The nonlinear robust stability theory of Georgiou and Smith (IEEE Trans. Auto. Control, 42(9):1200–1229, 1997) is generalized to the case of notions of stability with bias te...