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135
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CCE
2004
15 years 2 months ago
Stochastic maximum principle for optimal control under uncertainty
Optimal control problems involve the difficult task of determining time-varying profiles through dynamic optimization. Such problems become even more complex in practical situatio...
Vicente Rico-Ramírez, Urmila M. Diwekar
144
Voted
TROB
2010
129views more  TROB 2010»
15 years 27 days 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...
ISER
1995
Springer
119views Robotics» more  ISER 1995»
15 years 6 months ago
Toward Obstacle Avoidance in Intermittent Dynamical Environments
In this paper we discuss a robotic task requiring dynamicalsafety in the face of an intermittent environment. We define and offer examples of this notion. We then construct a dyna...
Robert R. Burridge, Alfred A. Rizzi, Daniel E. Kod...
125
Voted
CDC
2008
IEEE
111views Control Systems» more  CDC 2008»
15 years 4 months ago
A Hamiltonian approximation method for the reduction of controlled systems
Abstract-- This paper considers the problem of model reduction for controlled systems. The paper considers a dual/adjoint formulation of the general optimization problem to minimiz...
Siep Weiland
CDC
2008
IEEE
120views Control Systems» more  CDC 2008»
15 years 9 months ago
On time-scale designs for networks
—We motivate the problem of designing a subset of the edge weights in a graph, to shape the spectrum of an associated linear time-invariant dynamics. We address a canonical desig...
Sandip Roy, Yan Wan, Ali Saberi