A5045433694- Distributed Control Multi-Agent Systems
- Gamma-ray bursts and supernovae
- Complex Network Analysis Techniques
- Neural Networks Stability and Synchronization
- Astrophysics and Cosmic Phenomena
- Advanced Memory and Neural Computing
- Solar and Space Plasma Dynamics
- Stellar, planetary, and galactic studies
- Nonlinear Dynamics and Pattern Formation
- Astrophysical Phenomena and Observations
- Advanced Combustion Engine Technologies
- Slime Mold and Myxomycetes Research
- Pulsars and Gravitational Waves Research
- Advanced Control and Stabilization in Aerospace Systems
- Modular Robots and Swarm Intelligence
- Chaos control and synchronization
- Astronomical Observations and Instrumentation
- Opinion Dynamics and Social Influence
- Magnetic Bearings and Levitation Dynamics
- Topological and Geometric Data Analysis
- Astronomy and Astrophysical Research
- Ecosystem dynamics and resilience
- Adaptive Control of Nonlinear Systems
- Antenna Design and Optimization
- Astro and Planetary Science
University of Washington
2018-2021
American Institute of Aeronautics and Astronautics
2018-2021
Smithsonian Astrophysical Observatory
2016
Center for Astrophysics Harvard & Smithsonian
2012
ABSTRACT We present a comprehensive study of interstellar X-ray extinction using the extensive Chandra supernova remnant (SNR) archive and use our results to refine empirical relation between hydrogen column density optical extinction. In analysis, we make large, uniform data sample assess various systematic uncertainties in measurement absorption. Specifically, address that originate from (i) emission models used fit SNR spectra; (ii) spatial variations within individual remnants; (iii)...
MSH 11–62 (G291.0–0.1) is a composite supernova remnant for which radio and X-ray observations have identified the shell as well its central pulsar wind nebula. The suggest relatively young system expanding into low-density region. Here, we present study of using with Chandra, XMM-Newton, Fermi observatories, along from Australia Telescope Compact Array. We identify compact source that appears to be putative powers nebula, show spectrum nebula bears signature synchrotron losses particles...
In this article, we consider the H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> -norm of networked systems with multi-time-scale consensus dynamics and vector-valued agent states. This allows us to explore how measurement process noise affect on matrix-weighted graphs by examining edgestate consensus. particular, highlight an interesting case where influences weighting scaling can be separated in design problem. We then optimization...
Using precise measurements of the helium D3 line, we have searched for statistically significant variations in strength chromospheric activity 13 early F-type stars and two late stars. In stars, find short-term (hours to days) variability based on ~25 observations over course a week. an additional cases differences between taken years apart, but can most likely explain this apparent long-term variation as artifact probable variations. The evidence suggests that pure rotational modulation...
In this paper we consider single input influenced consensus for networked systems featuring agents acting on independent time scales. We are able to show that some key characteristics from mono-scale networks retained by our formulation, which allows us investigate the performance limitations scaled under influence of constant and time-varying signals. contrast results networks, network an influencing signal is dependent selected node; use feature offer insights into how best interact with systems.
In this paper we consider the ℋ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> -norm of networked systems with multi-time scale consensus dynamics. We develop a general framework for such that allows edge weighting, independent agent-based time scales, as well measurement and process noise. From system description, highlight an interesting case where influences weighting scaling can be separated in design problem. then parameters...
We consider network structures that optimize the H2-norm of weighted, time scaled consensus networks, under a minimal representation such networks described by edge Laplacian. show greedy algorithm can be used to find minimum-H2 norm spanning tree, as well how choose edges H2 when are added back tree. In case with measurement model considering all in graph, we adding between slow nodes graph provides smallest increase norm.
This paper addresses reduced order modeling of dynamic systems that are under the influence a slow actuator, is, system for which subset states evolve on slower time scale than rest system. Using concepts from singular perturbation theory, new method generating an asymptotically valid model such is proposed. As example, used to behavior non-homogeneous constellation satellites leader-follower control law.
In this paper we consider the $\mathcal{H}_2$-norm of networked systems with multi-time scale consensus dynamics. We develop a general framework for such that allows edge weighting, independent agent-based time scales, as well measurement and process noise. From system description, highlight an interesting case where influences weighting scaling can be separated in design problem. then parameters minimizing purpose network resilience.
We consider network structures that optimize the $\mathcal{H}_2$ norm of weighted, time scaled consensus networks, under a minimal representation such networks described by edge Laplacian. show greedy algorithm can be used to find minimum-$\mathcal{H}_2$ spanning tree, as well how choose edges when are added back tree. In case with measurement model considering all in graph, we adding between slow nodes graph provides smallest increase norm.