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AUTOMATICA
2008
74views more  AUTOMATICA 2008»
13 years 5 months ago
Policy iteration based feedback control
It is well known that stochastic control systems can be viewed as Markov decision processes (MDPs) with continuous state spaces. In this paper, we propose to apply the policy iter...
Kan-Jian Zhang, Yan-Kai Xu, Xi Chen, Xi-Ren Cao
AUTOMATICA
2002
111views more  AUTOMATICA 2002»
13 years 4 months ago
Virtual reference feedback tuning: a direct method for the design of feedback controllers
This paper considers the problem of designing a controller for an unknown plant based on input/output measurements. The new design method we propose is direct (no model identificat...
M. C. Campi, A. Lecchini, Sergio M. Savaresi
ICMCS
1997
IEEE
142views Multimedia» more  ICMCS 1997»
13 years 9 months ago
A Rate Allocation Policy with MCR/PCR Support and Distributed ABR Implementation Using Explicit Rate Feedback
An important concept in the available bit rate (ABR) service model as defined by the ATM Forum is the minimum cell rate (MCR) guarantee as well as the peak cell rate (PCR) constra...
Yiwei Thomas Hou, Henry H.-Y. Tzeng, Shivendra S. ...
CDC
2010
IEEE
141views Control Systems» more  CDC 2010»
12 years 12 months ago
Adaptive reservations for feedback control
In this paper, we start from an assigned control law with known probability distributions of its execution time. Our goal is to identify an optimised scheduling policy that allows ...
Daniele Fontanelli, Luca Greco, Luigi Palopoli
ICRA
2009
IEEE
227views Robotics» more  ICRA 2009»
13 years 11 months ago
Adaptive autonomous control using online value iteration with gaussian processes
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
Axel Rottmann, Wolfram Burgard