This paper addresses a collective motion problem for a multi-agent system composed of nonholonomic vehicles. The aim of the vehicles is to achieve circular motion around a virtual...
Nicola Ceccarelli, Mauro Di Marco, Andrea Garulli,...
—The genetic programming approach is applied to the problem of aircraft autolanding, subject to wind disturbances. The derived control law is tested successfully, using a lineari...
— In this paper an appropriate four rotors helicopter nonlinear dynamic model for identi cation and control law synthesis is obtained via modelization procedure where several phe...
L. Derafa, A. Ouldali, Tarek Madani, Abdelaziz Ben...
This paper investigates the use of reinforcement learning in electric power system emergency control. The approach consists of using numerical simulations together with on-policy M...
A common method for dealing with overload conditions in periodic task systems is to reduce the load by enlarging activation periods. When a periodic task implements a digital cont...
Giorgio C. Buttazzo, Manel Velasco, Pau Mart&iacut...
For a general class of robots with elastic joints, we introduce an inversion algorithm for the synthesis of a dynamic feedback control law that gives input-output decoupling and f...
ct This paper willpresent the resultsof a comparative study of a set of vision-based control strategies that have been applied to the problem of steering an autonomous vehicle alon...
Jana Kosecka, Robert Blasi, Camillo J. Taylor, Jit...
In this paper we present a new approach to visual servoing using lines. It is based on a theoretical and geometrical study of the main line representations which allows us to deï¬...
— We present novel exploration algorithms and a control law that enable the construction of Voronoi diagrams over unknown areas using a single autonomous vehicle equipped with ra...
Lyapunov-Krasowskii functionals are used to design quantized continuous-time control laws for nonlinear systems in the presence of time-invariant pointwise delays in the input. Th...