This paper describes a deterministic approach to adaptive state and parameter estimation using a multiple model structure. In the set-up adopted, the plant of interest is described...
This paper is concerned with information theoretic "metrics" for comparing two dynamical systems. Following the recent work of Tryphon Georgiou [1], we outline a predicti...
This paper considers the controllability problem for multi-agent systems. In particular, the structural controllability of multi-agent systems with a single leader under switching ...
A novel method is developed to obtain a refined estimate of relative position and orientation (pose) from two views captured by a calibrated monocular camera. Due to the typically ...
Siddhartha S. Mehta, Prabir Barooah, Sara Susca, W...
In this paper, we study multiple target detection using Bayesian learning. The main aim of the paper is to present a computationally efficient way to compute the belief map update ...
Assessing air traffic complexity on a mid term horizon can help to timely identify those safety-critical encounter situations that would require many tactical resolution maneuvers ...
The aim of this study is to design a controller based on model predictive control (MPC) theory to smooth wind power generation along with the controlled storage of the wind energy ...
The concept of virtual holonomic constraints is extended to the case of double support, which is characterized by a closed kinematic chain and redundancy in the state variables. An...
Abstract-- In this paper, we are interested in using largedeviations theory to characterize the asymptotic decay-rate of the queue-overflow probability for distributed wireless sch...
A closed-loop model with actuator dynamics and sensory feedback has been developed to capture the complex postural behaviors observed in a human head tracking task. In motor-contro...
Vincent Bonnet, Philippe Fraisse, Nacim Ramdani, J...