239 research outputs found
Formation Control of Rigid Graphs with a Flex Node Addition
This paper examines stability properties of distance-based formation control
when the underlying topology consists of a rigid graph and a flex node
addition. It is shown that the desired equilibrium set is locally
asymptotically stable but there exist undesired equilibria. Specifically, we
further consider two cases where the rigid graph is a triangle in 2-D and a
tetrahedral in 3-D, and prove that any undesired equilibrium point in these
cases is unstable. Thus in these cases, the desired formations are almost
globally asymptotically stable.Comment: The full version of this paper with general extensions has been
submitted to a journal for publicatio
Partial Relaxation Approach: An Eigenvalue-Based DOA Estimator Framework
In this paper, the partial relaxation approach is introduced and applied to
DOA estimation using spectral search. Unlike existing methods like Capon or
MUSIC which can be considered as single source approximations of multi-source
estimation criteria, the proposed approach accounts for the existence of
multiple sources. At each considered direction, the manifold structure of the
remaining interfering signals impinging on the sensor array is relaxed, which
results in closed form estimates for the interference parameters. The
conventional multidimensional optimization problem reduces, thanks to this
relaxation, to a simple spectral search. Following this principle, we propose
estimators based on the Deterministic Maximum Likelihood, Weighted Subspace
Fitting and covariance fitting methods. To calculate the pseudo-spectra
efficiently, an iterative rooting scheme based on the rational function
approximation is applied to the partial relaxation methods. Simulation results
show that the performance of the proposed estimators is superior to the
conventional methods especially in the case of low Signal-to-Noise-Ratio and
low number of snapshots, irrespectively of any specific structure of the sensor
array while maintaining a comparable computational cost as MUSIC.Comment: This work has been submitted to IEEE for possible publication.
Copyright may be transferred without notice, after which this version may no
longer be accessibl
Finite-time bearing-based maneuver of acyclic leader-follower formations
This letter proposes two finite-time bearing-based control laws for acyclic
leader-follower formations. The leaders in formation move with a bounded
continuous reference velocity and each follower controls its position with
regard to three agents in the formation. The first control law uses only
bearing vectors, and finite-time convergence is achieved by properly selecting
two state-dependent control gains. The second control law requires both bearing
vectors and communications between agents. Each agent simultaneously localizes
and follows a virtual target. Finite-time convergence of the desired formation
under both control laws is proved by mathematical induction and supported by
numerical simulations. 10.1109/LCSYS.2021.3088299Comment: Preprint, accepted to L-CS
Costs and Benefits of a Greener Alternative for the Development of Vietnam's power sector
International audienceIn this study, BAU (a scenario based on current trends) and ALT (a greener alternative with more renewables, higher energy efficiency) are developed. The external costs of CO 2 , NOx, SO 2 and PM 10 in the Vietnamese power sector are estimated at 20, 1328, 2047 and 1460 US compared with 974 billion US); lower local pollution costs (73 vs 137 billion US). The outcomes of ALT are in accord with the targets in the most recent Green Growth Strategy of Vietnam
Perspective of CO2 capture & storage (CCS) development in Vietnam: Results from expert interviews
International audienceThis paper summarizes expert opinions regarding crucial factors that mayinfluence Vietnam’s future use of carbon capture and storage (CCS) based onface-to-face interviews in December 2013 with 16 CCS-related experts fromthe Vietnamese government, research institutes, universities and the energyindustrial sector. This study finds that financial incentives and climate policyare the most important factors for the development of CCS technologies inVietnam in the next two decades. Financial incentives involve direct subsidiesfrom the government, such as tax exemptions for land use and the importationof CCS-related equipment. In addition, all the experts agree that internationalfinancial support is important to initiate a large deployment of CCStechnologies in Vietnam by implementing demonstrative/pilot projects to proveCCS’s working efficiency
Three more Decades in Array Signal Processing Research: An Optimization and Structure Exploitation Perspective
The signal processing community currently witnesses the emergence of sensor
array processing and Direction-of-Arrival (DoA) estimation in various modern
applications, such as automotive radar, mobile user and millimeter wave indoor
localization, drone surveillance, as well as in new paradigms, such as joint
sensing and communication in future wireless systems. This trend is further
enhanced by technology leaps and availability of powerful and affordable
multi-antenna hardware platforms. The history of advances in super resolution
DoA estimation techniques is long, starting from the early parametric
multi-source methods such as the computationally expensive maximum likelihood
(ML) techniques to the early subspace-based techniques such as Pisarenko and
MUSIC. Inspired by the seminal review paper Two Decades of Array Signal
Processing Research: The Parametric Approach by Krim and Viberg published in
the IEEE Signal Processing Magazine, we are looking back at another three
decades in Array Signal Processing Research under the classical narrowband
array processing model based on second order statistics. We revisit major
trends in the field and retell the story of array signal processing from a
modern optimization and structure exploitation perspective. In our overview,
through prominent examples, we illustrate how different DoA estimation methods
can be cast as optimization problems with side constraints originating from
prior knowledge regarding the structure of the measurement system. Due to space
limitations, our review of the DoA estimation research in the past three
decades is by no means complete. For didactic reasons, we mainly focus on
developments in the field that easily relate the traditional multi-source
estimation criteria and choose simple illustrative examples.Comment: 16 pages, 8 figures. This work has been submitted to the IEEE for
possible publication. Copyright may be transferred without notice, after
which this version may no longer be accessibl
Low Carbon Scenario for the Power Sector of Vietnam: Externality and Comparison Approach
International audienceIn this paper, BAU (a scenario based on current trends) and ALT (a greener alternative with more renewables, higher energy efficiency) are developed. The external costs of CO2, NOx, SO2 and PM10 in the Vietnamese power sector are estimated at 20, 1328, 2047 and 1460 US compared with 974 billion US); lower local pollution costs (73 vs 137 billion US). The outcomes of ALT are in accord with the targets in the most recent Green Growth Strategy of Vietnam and the Intended Nationally Determined Contributions (INDCs) of the country to UNFCCC and COP21
Bearing-Based Network Localization Under Gossip Protocol
This paper proposes a bearing-based network localization algorithm with a
randomized gossip protocol. Each sensor node is assumed to be able to obtain
the bearing vectors and communicate its position estimates with several
neighboring agents. Each update involves two agents, and the update sequence
follows a stochastic process. Under the assumption that the network is
infinitesimally bearing rigid and contains at least two beacon nodes, we show
that the proposed algorithm could successfully estimate the actual positions of
the network in probability. The randomized update protocol provides a simple,
distributed, and reduces the communication cost of the network. The theoretical
result is then supported by a simulation of a 1089-node sensor network.Comment: preprint, 7 pages, 2 figure
Randomized Matrix Weighted Consensus
In this paper, randomized gossip-type matrix-weighted consensus algorithms
are proposed for both leaderless and leader-follower topologies. First, we
introduce the notion of expected matrix-weighted network, which captures the
multi-dimensional interactions between any two agents in a probabilistic sense.
Under some mild assumptions on the distribution of the expected matrix weights
and the upper bound of the updating step size, the proposed asynchronous
pairwise update algorithms drive the network to achieve a consensus in
expectation. An upper bound of the -convergence time of the algorithm
is then derived. Furthermore, the proposed algorithms are applied to the
bearing-based network localization and formation control problems. The
theoretical results are supported by several numerical examples.Comment: 32 pages, 6 figures, preprin
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