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ICML
2004
IEEE
14 years 10 months ago
Learning low dimensional predictive representations
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
CDC
2008
IEEE
156views Control Systems» more  CDC 2008»
14 years 3 months ago
Diagnosability of hybrid automata with measurement uncertainty
— We propose a diagnosability notion that depends on two parameters denoted as (δd, δm) for the general class of transition systems where the observable output is given by disc...
Maria Domenica Di Benedetto, Stefano Di Gennaro, A...
FORMATS
2010
Springer
13 years 7 months ago
Diagnosis Using Unfoldings of Parametric Time Petri Nets
This paper considers the model of Time Petri Nets (TPNs) extended with time parameters and its use to perform on-line diagnosis of distributed systems. We propose to base the metho...
Bartosz Grabiec, Louis-Marie Traonouez, Claude Jar...
AUTOMATICA
1999
72views more  AUTOMATICA 1999»
13 years 8 months ago
Observer-controller design for cranes via Lyapunov equivalence
We consider a linearized parameter-varying model of a planar crane and show how a controller can be designed, following the state-feedback stabilization technique for time-varying...
Alessandro Giua, Carla Seatzu, Giampaolo Usai
AUTOMATICA
2007
103views more  AUTOMATICA 2007»
13 years 9 months ago
Adaptive learning control of linear systems by output error feedback
: This paper addresses the problem of designing an output error feedback tracking control for single-input, single-output, minimum phase, observable linear systems. The reference o...
Stefano Liuzzo, Riccardo Marino, Patrizio Tomei