Speckle Tracking Echocardiography is a relatively new, non-invasive ultrasound technique that allows an objective and quantitative evaluation of global regional myocardial function. There lot evidence longitudinal strain more sensitive than the left ventricular ejection fraction for assessment dysfunction, used to follow-up cancer therapeutic-related cardiac stratify risks, classify determine t...

Animal tracking has been addressed by different initiatives over the last two decades. Most of them rely on satellite connectivity on every single node and lack of energy-saving strategies. This paper presents several new contributions on the tracking of dynamic heterogeneous asynchronous networks (primary nodes with GPS and secondary nodes with a kinetic generator) motivated by the animal trac...

In combination with the collective behavior evolution of bipartite consensus and cluster/group consensus, this paper proposes notion multiple-bipartite in networked Lagrangian systems (NLSs), effectively integrating above emergent behaviors cooperative–competitive networks. The problems leaderless leader-following tracking are solved via deploying designed distributed adaptive torque controller...

We propose a novel consensus notion, called “partial consensus”, for distributed GM-PHD (Gaussian mixture probability hypothesis density) fusion based on a peer-to-peer (P2P) sensor network, in which only highly-weighted posterior Gaussian components (GCs) are disseminated in the P2P communication for fusion while the insignificant GCs are not involved. The partial consensus does not only enjoy...

The research field of networked systems has burgeoned during the last years attracting the attention of outstanding mathematicians, computer scientists and electrical engineers. This is due in no small part to the recent technological advances in communication and computation and to the miniaturization of electronic components which have made large groups of embedded systems, such as sensors an...

this paper deals with a globally convergent adaptive and sliding mode control of a cart-pole inverted pendulum for trajectory tracking in the presence of a bounded measurement noise and parameter uncertainty. two kinds of controllers have been used for evaluation of tracking error in presence of a bounded noise; as a result, we want to compare that at what time we can see the convergence of tra...

This paper considers the data quantization problem for a class of unknown nonaffine nonlinear discrete-time multi-agent systems (MASs) under repetitive operations to achieve bipartite consensus tracking. Here, quantized distributed model-free adaptive iterative learning control (QDMFAILBC) approach is proposed based on dynamic linearization technology, algebraic graph theory, and sector-bound m...