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AUTOMATICA
2008
112views more  AUTOMATICA 2008»
13 years 5 months ago
Stabilizability of switched linear systems does not imply the existence of convex Lyapunov functions
Counterexamples are given which show that a linear switched system (with controlled switching) that can be stabilized by means of a suitable switching law does not necessarily admi...
Franco Blanchini, Carlo Savorgnan
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
14 years 7 days ago
Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments
This paper addresses the evolution of control strategies for a collective: a set of entities that collectively strives to maximize a global evaluation function that rates the perf...
Kagan Tumer, Adrian K. Agogino
HYBRID
2007
Springer
14 years 27 days ago
A Controller Design Method Under Infrequent, Asynchronous Sensing
Abstract. We use discrete quadratic Lyapunov functions to design controllers for a class of systems where time intervals between state measurements are longer than time intervals b...
Fumin Zhang, Naomi Ehrich Leonard
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
14 years 7 days ago
Toward evolved flight
We present the first hardware-in-the-loop evolutionary optimization on an ornithopter. Our experiments demonstrate the feasibility of evolving flight through genetic algorithms an...
Rusty Hunt, Gregory Hornby, Jason D. Lohn
GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
13 years 10 months ago
Speeding up the evaluation of evolutionary learning systems using GPGPUs
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA’s massive parallel technology using the CUDA library. Both the match ...
María A. Franco, Natalio Krasnogor, Jaume B...