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AUTOMATICA
2006
68views more  AUTOMATICA 2006»
14 years 12 months ago
State and unknown input estimation for linear discrete-time systems
: This paper deals with a new type of estimator for discrete-time linear systems with unknown inputs. A constructive algorithm is given in order to analyze the state observability ...
Thierry Floquet, Jean-Pierre Barbot
AUTOMATICA
2005
89views more  AUTOMATICA 2005»
14 years 12 months ago
More efficient predictive control
An approach for constrained predictive control of linear systems (or uncertain systems described by polytopic uncertainty models) is presented. The approach consists of (in genera...
Lars Imsland, Nadav S. Bar, Bjarne A. Foss
AUTOMATICA
2005
116views more  AUTOMATICA 2005»
14 years 12 months ago
Monotonically convergent iterative learning control for linear discrete-time systems
In iterative learning control schemes for linear discrete time systems, conditions to guarantee the monotonic convergence of the tracking9 error norms are derived. By using the Ma...
Kevin L. Moore, Yangquan Chen, Vikas Bahl
AUTOMATICA
2005
103views more  AUTOMATICA 2005»
14 years 12 months ago
Norm invariant discretization for sampled-data fault detection
In this paper, the problem of fault detection in sampled-data systems is studied. It is shown that norms of a sampled system are equal to the corresponding norms of a certain disc...
Iman Izadi, Tongwen Chen, Qing Zhao
AUTOMATICA
2005
82views more  AUTOMATICA 2005»
14 years 12 months ago
Consistency analysis of some closed-loop subspace identification methods
We study statistical consistency of two recently proposed subspace identification algorithms for closed-loop systems. These algorithms een as implementations of an abstract state-...
Alessandro Chiuso, Giorgio Picci