Abstract: This article investigates the optimal consensus problem for a class of nonlinear multiagent systems (MASs) under an event-triggered mechanism (ETM) and switching topologies. By employing an ...

Abstract: This paper studies the distributed optimization problem of high-order multi-agent systems with unknown nonlinear terms and input saturation. Unlike existing results, nonlinear functions in ...

1. Understanding pathogen transmission is crucial for predicting and managing disease. Nonetheless, experimental comparisons of alternative functional forms of transmission remain rare, and those ...

It appears that no particular approximate [nonlinear] filter is consistently better than any other, though . . . any nonlinear filter is better than a strictly linear one. 1 The Kalman filter is a ...

In this work, we adopt a new approach to the construction of a global theory of algebras of generalized functions on manifolds based on the concept of smoothing operators. This produces a ...

if nonlinear functions are used that contain a string that is the same one of the model variables, the Big-M reformulation fails.