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CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
15 years 2 months ago
Necessary and sufficient conditions for success of the nuclear norm heuristic for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi
IROS
2008
IEEE
122views Robotics» more  IROS 2008»
15 years 8 months ago
A probabilistic Programming by Demonstration framework handling constraints in joint space and task space
— We present a probabilistic architecture for solving generically the problem of extracting the task constraints through a Programming by Demonstration (PbD) framework and for ge...
Sylvain Calinon, Aude Billard
RAS
2006
111views more  RAS 2006»
15 years 1 months ago
Planning under uncertainty using model predictive control for information gathering
This paper considers trajectory planning problems for autonomous robots in information gathering tasks. The objective of the planning is to maximize the information gathered withi...
Cindy Leung, Shoudong Huang, Ngai Ming Kwok, Gamin...
ICARCV
2008
IEEE
146views Robotics» more  ICARCV 2008»
15 years 8 months ago
Stabilization of networked multi-input systems with channel resource allocation
—In this paper, we study the problem of stabilizing a linear time-invariant discrete-time system with information constraints in the input channels. The information constraint in...
Guoxiang Gu, Li Qiu
110
Voted
ISCAS
2005
IEEE
179views Hardware» more  ISCAS 2005»
15 years 7 months ago
Robust stabilization of control systems using piecewise linear Lyapunov functions and evolutionary algorithm
— Piecewise linear Lyapunov functions are used to design control gain matrices so that closed systems are robust stable and attractive regions are expanded as large as possible i...
K. Tagawa, Y. Ohta