103 research outputs found
Constructing convex directions for stable polynomials
Cataloged from PDF version of article.New constructions of convex directions for Hurwitz-stable
polynomials are obtained. The technique is based on interpretations of
the phase-derivative conditions in terms of the sensitivity of the root-locus
associated with the even and odd parts of a polynomial
Watermarking via zero assigned filter banks
Cataloged from PDF version of article.In order to identify the owner and distributor of digital data, a watermarking scheme in
frequency domain for multimedia files is proposed. The scheme satisfies the
imperceptibility and persistence requirements and it is robust against additive noise.
It consists of a few stages of wavelet decomposition of several subblocks of the original
signal using special zero assigned filter banks. By assigning zeros to filters on the high
frequency portion of the spectrum, filter banks with frequency selective response are
obtained. The information is then inserted in the wavelet-decomposed and compressed
signal. Several robustness tests are performed on male voice, female voice, and music
files, color and gray level images. The algorithm is tested under white Gaussian noise
and against JPEG compression and it is observed to be robust even when exposed to high
levels of corruption.
& 2009 Elsevier B.V. All rights reserve
Foraging swarms as Nash equilibria of dynamic games
Cataloged from PDF version of article.The question of whether foraging swarms can form as a result of a noncooperative game played by individuals is shown here to have an affirmative answer. A dynamic game played by N agents in 1-D motion is introduced and models, for instance, a foraging ant colony. Each agent controls its velocity to minimize its total work done in a finite time interval. The game is shown to have a unique Nash equilibrium under two different foraging location specifications, and both equilibria display many features of a foraging swarm behavior observed in biological swarms. Explicit expressions are derived for pairwise distances between individuals of the swarm, swarm size, and swarm center location during foraging. © 2013 IEEE
PID stabilization of MIMO plants
Cataloged from PDF version of article.Closed-loop stabilization using proportional–integral–derivative
(PID) controllers is investigated for linear multiple-input–multiple-output
(MIMO) plants. General necessary conditions for existence
of PID-controllers are derived. Several plant classes that admit PID-controllers
are explicitly described. Plants with only one or two unstable zeros
at or “close” to the origin (alternatively, at or close to infinity) as well as
plants with only one or two unstable poles which are at or close to origin
are among these classes. Systematic PID-controller synthesis procedures
are developed for these classes of plants
Two-channel decentralized integral action controller design
Cataloged from PDF version of article.We propose a systematic controller design method that provides
integral-action in linear time-invariant two-channel decentralized
control systems. Each channel of the plant is single-input–single-output,
with any number of poles at the origin but no other poles in the instability
region. An explicit parametrization of all decentralized stabilizing
controllers incorporating the integral-action requirement is provided
for this special case of plants. The main result is a design methodology
that constructs simple low-order controllers in the cascaded form of
proportional-integral and first-order blocks
Decentralized control and periodic feedback
Cataloged from PDF version of article.The decentralized stabilization problem for linear, discretetime,
periodically timevarying plants using periodic controllers is considered.
The main tool used isl the technique of Uning a periodic system
to a timeinvariant one via extensions of the input and output spaces. It
is shown that a periodically time-varying system of fundamental period
N can be stabilized by a decentralized periodic controller if and only
if: 1) the system is stabilizable and detectable, and 2) the N-lifting of
each complementary subsystem of identieally zero inpnt-ontput map
is free of unstable input-output decoupling zeros. In the special case
of N = 1, this yields and clarifies all the mr exisling results on
decentralized stabilization of time-invariant plants by periodically time
varying controllers
Decentralized Blocking Zeros and Decentralized Strong Stabilization Problem
Cataloged from PDF version of article.This paper is concerned with a new system theoretic
concept, decentralized blocking zeros, and its applications in the
design of decentralized controllers for linear time-invariant finitedimensional
systems. The concept of decentralized blocking zeros
is a generalization of its centralized counterpart to multichannel
systems under decentralized control. Decentralized blocking zeros
are defined as the common blocking zeros of the main diagonal
transfer matrices and various complementary transfer matrices
of a given plant. As an application of this concept, we consider
the decentralized strong stabilization problem (DSSP) where the
objective is to stabilize a plant using a stable decentralized
controller. It is shown that a parity interlacing property should
be satisfied among the real unstable poles and real unstable
decentralized blocking zeros of the plant for the DSSP to be
solvable. That parity interlacing property is also suf6icient for the
solution of the DSSP for a large class of plants satisfying a certain
connectivity condition. The DSSP is exploited in the solution
of a special decentralized simultaneous stabilization problem,
called the decentralized concurrent stabilization problem (DCSP).
Various applications of the DCSP in the design of controllers for
large-scale systems are also discussed
Partially informed agents can form a swarm in a nash equilibrium
Foraging swarms in one-dimensional motion with incomplete position information are studied in the context of a noncooperative differential game. In this game, the swarming individuals act with partial information as it is assumed that each agent knows the positions of only the adjacent ones. It is shown that a Nash equilibrium solution that exhibits many features of a foraging swarm such as movement coordination, self-organization, stability, and formation control exists. © 1963-2012 IEEE
Automated discrimination of psychotropic drugs in mice via computer vision-based analysis
Cataloged from PDF version of article.We developed an inexpensive computer vision-based method utilizing an algorithm which differentiates
drug-induced behavioral alterations. The mice were observed in an open-field arena and their activity
was recorded for 100 min. For each animal the first 50 min of observation were regarded as the drug-free
period. Each animal was exposed to only one drug and they were injected (i.p.) with either amphetamine
or cocaine as the stimulant drugs or morphine or diazepam as the inhibitory agents. The software divided
the arena into virtual grids and calculated the number of visits (sojourn counts) to the grids and instantaneous
speeds within these grids by analyzing video data. These spatial distributions of sojourn counts and
instantaneous speeds were used to construct feature vectors which were fed to the classifier algorithms
for the final step of matching the animals and the drugs. The software decided which of the animals were
drug-treated at a rate of 96%. The algorithm achieved 92% accuracy in sorting the data according to the
increased or decreased activity and then determined which drug was delivered. The method differentiated
the type of psychostimulant or inhibitory drugs with a success ratio of 70% and 80%, respectively.
This method provides a new way to automatically evaluate and classify drug-induced behaviors in mice.
Crown Copyright © 2009 Published by Elsevier B.V. All rights reserved
Consensus as a Nash Equilibrium of a Dynamic Game
Consensus formation in a social network is modeled by a dynamic game of a prescribed duration played by members of the network. Each member independently minimizes a cost function that represents his/her motive. An integral cost function penalizes a member's differences of opinion from the others as well as from his/her own initial opinion, weighted by influence and stubbornness parameters. Each member uses its rate of change of opinion as a control input. This defines a dynamic non-cooperative game that turns out to have a unique Nash equilibrium. Analytic explicit expressions are derived for the opinion trajectory of each member for two representative cases obtained by suitable assumptions on the graph topology of the network. These trajectories are then examined under different assumptions on the relative sizes of the influence and stubbornness parameters that appear in the cost functions. © 2016 IEEE
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