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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...
MP
2008
99views more  MP 2008»
13 years 5 months ago
Efficient robust optimization for robust control with constraints
This paper proposes an efficient computational technique for the optimal control of linear discrete-time systems subject to bounded disturbances with mixed polytopic constraints o...
Paul J. Goulart, Eric C. Kerrigan, Daniel Ralph
CDC
2008
IEEE
14 years 1 days ago
Robust invariant set theory applied to networked buffer-level control
— A manufacturer producing several items keeps them into safety stocks (buffers) in order to supply an external stochastic demand without interruptions. We consider the classical...
Francesco Borrelli, Carmen Del Vecchio, Alessandra...
CDC
2008
IEEE
228views Control Systems» more  CDC 2008»
14 years 1 days ago
Stability analysis for neural networks with time-varying delay
— This paper studies the problem of stability analysis for neural networks (NNs) with a time-varying delay. The activation functions are assumed to be neither monotonic, nor diff...
Xun-Lin Zhu, Guang-Hong Yang
AUTOMATICA
2006
113views more  AUTOMATICA 2006»
13 years 5 months ago
Least costly identification experiment for control
All approaches to optimal experiment design for control have so far focused on deriving an input signal (or input signal spectrum) that minimizes some control-oriented measure of ...
Xavier Bombois, Gérard Scorletti, Michel Ge...