Artificial intelligence and mechanical engineering are two mature fields of science that
intersect more and more often. Computer-aided mechanical analysis tools, including …

In this paper, we focus on distributed moving horizon estimation (DMHE) for a class of two-
time-scale nonlinear systems described in the framework of singularly perturbed systems. By …

Integrated chargers, where the traction inverter is used as the primary charging interface,
have emerged as a solution for reducing the cost and footprint of electric vehicle (EV) …

In this paper, we propose a new moving horizon estimator for nonlinear detectable systems.
Similar to a recently proposed full information estimator, the corresponding cost function …

In this paper, we propose time-discounted schemes for full information estimation (FIE) and
moving horizon estimation (MHE) that are robustly globally asymptotically stable (RGAS) …

The paper deals with the problem of estimating the state of a linear system over a peer-to-
peer network of linear sensors. The proposed approach is fully distributed, scalable, and …

Estimating and reacting to disturbances is crucial for robust flight control of quadrotors.
Existing estimators typically require significant tuning for a specific flight scenario or training …

In this note, conditions are proven under which a real-time implementable moving horizon
estimation (MHE) scheme is locally convergent. Specifically, the real-time iteration scheme …

Cybersecurity of control systems is an important issue in next-generation manufacturing that
can impact both operational objectives (safety and performance) as well as process designs …

In this paper, we consider optimization-based state estimation for general detectable
nonlinear systems subject to unknown disturbances. The main contribution is a novel …