417 research outputs found
A Class of Mean-field LQG Games with Partial Information
The large-population system consists of considerable small agents whose
individual behavior and mass effect are interrelated via their state-average.
The mean-field game provides an efficient way to get the decentralized
strategies of large-population system when studying its dynamic optimizations.
Unlike other large-population literature, this current paper possesses the
following distinctive features. First, our setting includes the partial
information structure of large-population system which is practical from real
application standpoint. Specially, two cases of partial information structure
are considered here: the partial filtration case (see Section 2, 3) where the
available information to agents is the filtration generated by an observable
component of underlying Brownian motion; the noisy observation case (Section 4)
where the individual agent can access an additive white-noise observation on
its own state. Also, it is new in filtering modeling that our sensor function
may depend on the state-average. Second, in both cases, the limiting
state-averages become random and the filtering equations to individual state
should be formalized to get the decentralized strategies. Moreover, it is also
new that the limit average of state filters should be analyzed here. This makes
our analysis very different to the full information arguments of
large-population system. Third, the consistency conditions are equivalent to
the wellposedness of some Riccati equations, and do not involve the fixed-point
analysis as in other mean-field games. The -Nash equilibrium
properties are also presented.Comment: 19 page
Mean Field Linear-Quadratic-Gaussian (LQG) Games of Forward-Backward Stochastic Differential Equations
This paper studies a new class of dynamic optimization problems of
large-population (LP) system which consists of a large number of negligible and
coupled agents. The most significant feature in our setup is the dynamics of
individual agents follow the forward-backward stochastic differential equations
(FBSDEs) in which the forward and backward states are coupled at the terminal
time. This current paper is hence different to most existing large-population
literature where the individual states are typically modeled by the SDEs
including the forward state only. The associated mean-field
linear-quadratic-Gaussian (LQG) game, in its forward-backward sense, is also
formulated to seek the decentralized strategies. Unlike the forward case, the
consistency conditions of our forward-backward mean-field games involve six
Riccati and force rate equations. Moreover, their initial and terminal
conditions are mixed thus some special decoupling technique is applied here. We
also verify the -Nash equilibrium property of the derived
decentralized strategies. To this end, some estimates to backward stochastic
system are employed. In addition, due to the adaptiveness requirement to
forward-backward system, our arguments here are not parallel to those in its
forward case.Comment: 21 page
A Unified Relation Analysis of Linear-quadratic Mean-field Game, Team and Control
This paper revisits well-studied dynamic decisions of weakly coupled
large-population (LP) systems. Specifically, three types of LP decision
problems: mean-field game (MG), mean-field team (MT), and mean-field-type
control (MC), are completely analyzed in a general stochastic linear-quadratic
setting with controlled-diffusion in state dynamics and indefinite weight in
cost functional. More importantly, interrelations among MG, MT and MC are
systematically discussed; some relevant interesting findings are reported that
may be applied to a structural analysis of general LP decisions
Linear quadratic mean-field game-team analysis: a mixed coalition approach
Mean-field theory has been extensively explored in decision analysis of
{large-scale} (LS) systems but traditionally in ``pure" cooperative or
competitive settings. This leads to the so-called mean-field game (MG) or
mean-field team (MT). This paper introduces a new class of LS systems with
cooperative inner layer and competitive outer layer, so a ``mixed" mean-field
analysis is proposed for distributed game-team strategy. A novel asymptotic
mixed-equilibrium-optima is also proposed and verified
The Berardenga Antependium and the Passio Ymaginis Office
Table S1. Signatures summary. A summary of 33 signatures about the platforms derived from, the subtypes used for, the gene number included, and the function terms involved. Table S8. The number of function terms in each signature. (PDF 82 kb
The research of 3D small-field imaging system based on fringe projection technique
This paper presents a 3D small-field imaging system by using the color fringe projection technique to measure the small
objects having large slopes and/or discontinuous surface. A stereo microscope is used to generate a small-field projecting
field and to capture the deformed fringe patterns on the measured small objects, respectively. Three fringe sets having
the optimum fringe numbers are coded into one major color channel to generate color fringe patterns having the
maximum fringe contrast of the captured fringe images. Through one channel of the stereo microscope, a DLP (Digital
Light Processing) projector projects these generated color fringe pattern images onto the measured objects surface. From
another channel, the fringe patterns are deformed with regard to the object surface and captured by a color CCD camera.
The absolute phase of each pixel can be calculated from the captured fringe patterns by using the optimum three-fringe
numbers selection method. Experimental results on measuring 3D shape of small objects show the accuracy and
availability of the developed 3D imaging system
Projector calibration method based on optical coaxial camera
This paper presents a novel method to accurately calibrate a DLP projector by using an optical coaxial camera to capture
the needed images. A plate beam splitter is used to make imaging axis of the CCD camera and projecting axis of the DLP
projector coaxial, so the DLP projector can be treated as a true inverse camera. A plate having discrete markers on the
surface will be designed and manufactured to calibrate the DLP projector. By projecting vertical and horizontal
sinusoidal fringe patterns on the plate surface from the projector, the absolute phase of each marker’s center can be
obtained. The corresponding projector pixel coordinate of each marker is determined from the obtained absolute phase.
The internal and external parameters of the DLP projector are calibrated by the corresponding point pair between the
projector coordinate and the world coordinate of discrete markers. Experimental results show that the proposed method
accurately obtains the parameters of the DLP projector. One advantage of the method is the calibrated internal and
external parameters have high accuracy because of uncalibrating the camera. The other is the optical coaxes geometry
gives a true inverse camera, so the calibrated parameters are more accurate than that of crossed-optical-axes, especially
the principal points and the radial distortion coefficients of the projector lens
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