— This paper bridges the advances in computer science and control to allow automatic synthesis of control strategies for complex dynamical systems which are guaranteed, by constr...
Tichakorn Wongpiromsarn, Ufuk Topcu, R. Richard Mu...
— In this paper, we propose a new type of neural adaptive control via dynamic neural networks. For a class of unknown nonlinear systems, a neural identifierFbased feedback linea...
Based on a recently developed ”generalized averaging theory,” we present a generic approach for the design of stabilizing feedback controllers for biomimetic locomotive systems...
Abstract−Stabilization of uncertain hybrid systems with controllable transitions is considered. Uncertainty enters in the form of a disturbance input that can affect both the co...
Yan Gao, John Lygeros, Marc Quincampoix, Nicolas S...
One shows that the Navier-Stokes equation in O⊂Rd, d = 2, 3, around an unstable equilibrium solution is exponentially stabilizable in probability by an internal noise controller...