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144
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CDC
2010
IEEE
141views Control Systems» more  CDC 2010»
14 years 11 months ago
Achieving higher frequencies in large-scale nonlinear model predictive control
We present new insights into how to achieve higher frequencies in large-scale nonlinear predictive control using truncated-like schemes. The basic idea is that, instead of solving ...
Victor M. Zavala, Mihai Anitescu
140
Voted
NIPS
2004
15 years 6 months ago
Learning first-order Markov models for control
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
Pieter Abbeel, Andrew Y. Ng
150
Voted
CDC
2008
IEEE
152views Control Systems» more  CDC 2008»
15 years 11 months ago
Discrete-time sliding mode neural observer for continuous time mechanical systems
— This paper proposes a novel discrete­time veloc­ ity observer which uses neural network and sliding mode for unknown continuous time mechanical systems. The neural observer i...
Juan Resendiz, Wen Yu, Leonid M. Fridman
127
Voted
ICRA
2010
IEEE
119views Robotics» more  ICRA 2010»
15 years 2 months ago
Optimal motion primitives for multi-UAV convoy protection
In this paper we study the problem of controlling a number of Unmanned Aerial Vehicles (UAVs) to provide convoy protection to a group of ground vehicles. The UAVs are modeled as Du...
Amirreza Rahmani, Xu Chu Ding, Magnus Egerstedt
134
Voted
CDC
2008
IEEE
118views Control Systems» more  CDC 2008»
15 years 6 months ago
On useful redundancy in experiment design for nonlinear system identification
In the paper, a formulation is proposed for optimal experiment design dedicated to the identification of nonlinear systems. In particular, a recently mentioned redundancy property ...
Mazen Alamir, James S. Welsh, Graham C. Goodwin