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 present a framework in which the general hybrid filtering or state estimation problem can be formulated. The problem of joint tracking and classification can be f...
This paper addresses the issue of state-space realizations for nonlinear adjoint operators. In particular, the relationships between nonlinear Hilbert adjoint operators, Hamiltoni...
Kenji Fujimoto, Jacquelien M. A. Scherpen, W. Stev...
The subject of this paper is hybrid control of nonlinear systems with large-scale uncertainty. We describe a high-level controller, called a "supervisor", which orchestr...
Abstract. The proper measure of closed-loop performance variation in the presence of modelplant mismatch is discussed in this paper. A generalized closed-loop error transfer functi...
For discrete-time linear time invariant systems with constraints on inputs and states, we develop an algorithm to determine explicitly, the state feedback control law which minimi...
Alberto Bemporad, Manfred Morari, Vivek Dua, Efstr...