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PERFECT OBSERVERS FOR NONLINEAR CONTROL SYSTEMS ∗
"... Abstract. Observers that exactly reconstruct the unknown state of the system has been constructed by Dai. The Dai’s concept has been extended by Kaczorek who called this kind of observers perfect observers. The main subject of this paper is to construct such perfect observers for nonlinear observabl ..."
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Abstract. Observers that exactly reconstruct the unknown state of the system has been constructed by Dai. The Dai’s concept has been extended by Kaczorek who called this kind of observers perfect observers. The main subject of this paper is to construct such perfect observers for nonlinear
Evolution of Preferences Under Perfect Observability: Almost Anything is
, 2008
"... We study the evolution of preference under perfect and almost perfect observability in symmetric 2player games as in Dekel, Ely, and Yilankaya (Review of Economic Studies, forthcoming). Dekel, Ely, and Yilankaya show that under perfect or almost perfect observability only efficient outcomes can be ..."
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Cited by 1 (0 self)
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We study the evolution of preference under perfect and almost perfect observability in symmetric 2player games as in Dekel, Ely, and Yilankaya (Review of Economic Studies, forthcoming). Dekel, Ely, and Yilankaya show that under perfect or almost perfect observability only efficient outcomes can
Evolution of players’ misperceptions in hypergames under perfect observations
 IEEE Transactions on Automatic Control
, 2012
"... This paper considers games of incomplete information and studies the evolution of the (not necessarily consistent) perceptions of the players using the framework of hypergames. The focus is on developing methods to modify the players ’ perception about other players ’ preferences by incorporating th ..."
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Cited by 2 (2 self)
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the lessons learned from observing their actions. If players are rational, our first update mechanism, called swap learning, is guaranteed to decrease the mismatch between a player’s perception and the true payoff structure of other players. However, this method can lead to inconsistencies in the stability
A General Theory of Equilibrium Selection in Games.
, 1988
"... Abstract This paper presents a Downsian model of political competition in which parties have incomplete but richer information than voters on policy effects. Each party can observe a private signal of the policy effects, while voters cannot. In this setting, voters infer the policy effects from the ..."
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Cited by 734 (4 self)
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Abstract This paper presents a Downsian model of political competition in which parties have incomplete but richer information than voters on policy effects. Each party can observe a private signal of the policy effects, while voters cannot. In this setting, voters infer the policy effects from
Exact Matrix Completion via Convex Optimization
, 2008
"... We consider a problem of considerable practical interest: the recovery of a data matrix from a sampling of its entries. Suppose that we observe m entries selected uniformly at random from a matrix M. Can we complete the matrix and recover the entries that we have not seen? We show that one can perfe ..."
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Cited by 873 (26 self)
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We consider a problem of considerable practical interest: the recovery of a data matrix from a sampling of its entries. Suppose that we observe m entries selected uniformly at random from a matrix M. Can we complete the matrix and recover the entries that we have not seen? We show that one can
The Dantzig selector: statistical estimation when p is much larger than n
, 2005
"... In many important statistical applications, the number of variables or parameters p is much larger than the number of observations n. Suppose then that we have observations y = Ax + z, where x ∈ R p is a parameter vector of interest, A is a data matrix with possibly far fewer rows than columns, n ≪ ..."
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Cited by 879 (14 self)
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In many important statistical applications, the number of variables or parameters p is much larger than the number of observations n. Suppose then that we have observations y = Ax + z, where x ∈ R p is a parameter vector of interest, A is a data matrix with possibly far fewer rows than columns, n
A solution to the simultaneous localization and map building (SLAM) problem
 IEEE Transactions on Robotics and Automation
, 2001
"... Abstract—The simultaneous localization and map building (SLAM) problem asks if it is possible for an autonomous vehicle to start in an unknown location in an unknown environment and then to incrementally build a map of this environment while simultaneously using this map to compute absolute vehicle ..."
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Cited by 505 (30 self)
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in an unknown environment and, using relative observations only, incrementally build a perfect map of the world and to compute simultaneously a bounded estimate of vehicle location. This paper also describes a substantial implementation of the SLAM algorithm on a vehicle operating in an outdoor environment
Nonlinear Filtering with Continuous Time Perfect Observations and Noninformative Quadratic Variation
 Proc. 36th IEEE CDC
, 1997
"... We consider the problem of estimating the state of a diffusion process, based on continuous time observations in singular noise. As long as the observations are regular values of the observation function, we derive an equation for the density (w.r.t. the canonical Lebesgue measure on the correspondi ..."
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Cited by 4 (0 self)
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is the nondegeneracy of the observation noise covariance matrix. However, there are numerous situations of practical interest, where some perfect noisefree information is available about the unknown state, and yet the problem of state estimation with degenerate observation noise has received little attention, except
Data Assimilation Using an Ensemble Kalman Filter Technique
, 1998
"... The possibility of performing data assimilation using the flowdependent statistics calculated from an ensemble of shortrange forecasts (a technique referred to as ensemble Kalman filtering) is examined in an idealized environment. Using a threelevel, quasigeostrophic, T21 model and simulated ob ..."
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Cited by 423 (5 self)
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observations, experiments are performed in a perfectmodel context. By using forward interpolation operators from the model state to the observations, the ensemble Kalman filter is able to utilize nonconventional observations. In order to
On the Formation of BuyerSeller Relationships when Product Quality is Perfectly Observable
"... improved the study. Seminar participants at several universities also provided useful insights. ..."
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improved the study. Seminar participants at several universities also provided useful insights.
Results 1  10
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