Uncertainty about the choice of identifying assumptions is common in causal studies, but often ignored empirical practice. This paper considers uncertainty over models that impose different assumptions, which can lead to a mix point‐ and set‐identified models. We propose performing inference presence such by generalizing Bayesian model averaging. The method multiple posteriors for combines them...

An alternative approach for stability analysis of uncertain systems modelled in statespace is suggested. A new candidate for Lyapunov function and based on it stability condition which generalize most of the available results in the field are presented. The applicability of this approach is illustrated by an example, treated many times by different approaches. Copyright 2005 IFAC

In this paper, we study generalized adaptive synchronization of Lorenz chaotic system with parabolic partial differential equation. Systems with three uncertain parameters and the non-linear adaptive feedback control technique are considered. Moreover, a systematic design process of parameters identification and Lag synchronization of chaotic system is considered. Finally, a sufficient conditio...