6 papers · 1 filter
String stability and guaranteed safety via funnel cruise control for vehicle platoons
Thomas Berger, Bart Besselink
We study decentralized control strategies for platoons of autonomous vehicles with heterogeneous and nonlinear dynamics. Based on ideas from funnel control, we present a novel dece…
Convergence of energy-based learning in linear resistive networks
Anne-Men Huijzer, Thomas Chaffey, Bart Besselink +1
Energy-based learning algorithms are alternatives to backpropagation and are well-suited to distributed implementations in analog electronic devices. However, a rigorous theory of…
Learning in Memristive Neural Networks
H. M. Heidema, H. J. van Waarde, B. Besselink
Memristors are nonlinear two-terminal circuit elements whose resistance at a given time depends on past electrical stimuli. Recently, networks of memristors have received attention…
Singular networks and ultrasensitive terminal behaviors
Alessio Franci, Bart Besselink, Arjan van der Schaft
Negative conductance elements are key to shape the input-output behavior at the terminals of a network through localized positive feedback amplification. The balance of positive an…
Learning in memristive electrical circuits
Marieke Heidema, Henk van Waarde, Bart Besselink
Memristors are nonlinear two-terminal circuit elements whose resistance at a given time depends on past electrical stimuli. Recently, networks of memristors have received attention…
Kron reduction of nonlinear networks
Arjan van der Schaft, Bart Besselink, Anne-Men Huijzer
Kron reduction is concerned with the elimination of interior nodes of physical network systems such as linear resistor electrical circuits. In this paper it is shown how this can b…