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Discrete-Time Multivariable Adaptive Control     Discrete-Time  Multivariable  Adaptive Control       font style='font-size:12px;'> 2014/8/13
Discrete-Time Multivariable Adaptive Control.
Discrete-Time Multivariable Adaptive Control     Discrete-Time  Multivariable Adaptive Control       font style='font-size:12px;'> 2014/7/2
Discrete-Time Multivariable Adaptive Control。
Adaptive Sensing of Congested Spectrum Bands     Adaptive  agility  sparsity  spectrum sensing  wideband       font style='font-size:12px;'> 2012/6/27
Cognitive radios process their sensed information collectively in order to opportunistically identify and access under-utilized spectrum segments (spectrum holes). Due to the transient and rapidly-var...
A low complexity, essentially-ML decoding technique for the Golden code and the 3 antenna Perfect code was introduced by Sirianunpiboon, Howard and Calderbank. Though no theoretical analysis of the de...
We propose a new technique for adaptive identification of sparse systems based on the compressed sensing (CS) theory. We manipulate the transmitted pilot (input signal) and the received signal such th...
Abstract: We consider the problem of detecting a small subset of defective items from a large set via non-adaptive "random pooling" group tests. We consider both the case when the measurements are noi...
Adaptive Content Search Through Comparisons     Adaptive Content Search  Comparisons  Learning       font style='font-size:12px;'> 2011/10/8
Abstract: We study the problem of navigating through a database of similar objects using comparisons. This problem is known to be strongly related to the small-world network design problem. However, c...
We present a model of adaptive regulatory networks consisting of a simple biologically-motivated rewiring procedure coupled to an elementary stability criterion. The resulting networks exhibit a chara...
An adaptive iterative learning control(ILC) approach is proposed for a class of uncertain nonlinear systems without prior knowledge about system control directions. The Nussbaum-type gain and the posi...
An Adaptive Approach to Active Fault-Tolerant Control     Fault Tolerant Control  augmented state observer       font style='font-size:12px;'> 2009/9/25
In this Faults or process failures may drastically change system behaviour leading to performance degradation and instability. The reliability and fault-tolerance of a control system can be achieved t...
OPTIMAL ADAPTIVE CONTROL WITH CONSTRAINT FOR ARMAX MODEL     Stochastic system  adaptive control with         font style='font-size:12px;'> 2007/12/10
摘要 For the ARMAX system with unknown coefficients the optimal adaptive control isdesigned so that the following requirements are met simultaneously: 1)the transfer function from a reference signal to ...
STUDYING COMPLEX ADAPTIVE SYSTEMS           font style='font-size:12px;'> 2007/8/7
Complex adaptive systems (cas) -- systems that involve many components thatadapt or learn as they interact -- are at the heart of important contemporaryproblems. The study of cas poses unique challen...
LIMIT THEOREMS AND OPTIMAL DESIGN WITH ADAPTIVE URN MODELS      Urn model  sequential design  strong conv          font style='font-size:12px;'> 2007/8/7
In this paper we study urn model, using some availableestimates of successes probabilities, and adding particleparameter, we establish adaptive models. We obtain some strongconvergence theorems, rates...
For the completely observed colltinuous-time stochastic system (A, B, C)an adaptive control based on the ELS estimation algorithm is designed so that the quadratic loss function is minimized and the u...
STOCHASTIC ADAPTIVE CONTROL FOR SYSTEMS WITH NOISE BEING AN ARMA PROCESS           font style='font-size:12px;'> 2007/8/7
Stochastic adaptive control is considered for the discrete-time multi-input and multi-output system of multi-delay with noise expressed by an ARMA process. The CARIMA model is a special case of the sy...

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