Abstract Model-based methods are widely used for the fault diagnosis of stochastic dynamic
systems by simply using the input–output relationship of the system. Despite encouraging …

This paper presents an energy management framework for building climate comfort (BCC)
systems interconnected in a grid via aquifer thermal energy storage (ATES) systems in the …

Bounds for the evolution of state trajectories of systems with uncertainty are important for
various applications such as safety assessment, experimental design, and robust control …

This paper considers fault detection of uncertain linear parameter varying systems that have
polynomial dependence on parametric uncertainties. A conventional set-membership (SM) …

Automated fault detection (FD) methods are essential for safe and profitable operation of
complex engineered systems. Both data-driven and model-based methods have been …

The probabilistic boundary is necessary for robust control design in uncertain dynamical
systems. The problem of computing the tightest ellipsoidal boundary of the future trajectory …

This work presents a novel fault-tolerant control scheme based on active inference.
Specifically, a new formulation of active inference which, unlike previous solutions, provides …

The power electronic converters and grid‐connected filters were important components of
the permanent magnet direct drive wind power generation system whose performance …

The fault detection (FD) system design aims at optimizing the trade‐off between false alarm
rate (FAR) and fault detection rate (FDR) under stochastic disturbances or uncertainties. A …

In this article two limitations in current distributed model based approaches for anomaly
detection in large-scale uncertain nonlinear systems are addressed. The first limitation …