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AUTOMATICA
2004
122views more  AUTOMATICA 2004»
13 years 5 months ago
Approximate explicit receding horizon control of constrained nonlinear systems
An algorithm for the construction of an explicit piecewise linear state feedback approximation to nonlinear constrained receding horizon control is given. It allows such controlle...
Tor Arne Johansen
IANDC
2010
116views more  IANDC 2010»
13 years 3 months ago
Weak bisimulation is sound and complete for pCTL*
Abstract. We investigate weak bisimulation of probabilistic systems in the presence of nondeterminism, i.e. labelled concurrent Markov chains (LCMC) with silent transitions. We bui...
Josée Desharnais, Vineet Gupta, Radha Jagad...
ENTCS
2007
123views more  ENTCS 2007»
13 years 5 months ago
Labelled Markov Processes as Generalised Stochastic Relations
Labelled Markov processes (LMPs) are labelled transition systems in which each transition has an associated probability. In this paper we present a universal LMP as the spectrum o...
Michael W. Mislove, Dusko Pavlovic, James Worrell
CDC
2010
IEEE
151views Control Systems» more  CDC 2010»
13 years 9 days ago
Convergence of discrete-time approximations of constrained linear-quadratic optimal control problems
Abstract-- Continuous-time linear constrained optimal control problems are in practice often solved using discretization techniques, e.g. in model predictive control (MPC). This re...
Lanshan Han, M. Kanat Camlibel, Jong-Shi Pang, W. ...
TROB
2010
129views more  TROB 2010»
13 years 3 months ago
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...