Journal ArticleDOI
Trajectory‐keeping in satellite formation flying via robust periodic learning control
TLDR
In this article, an iterative learning control (ILC) scheme is proposed to ensure trajectory-keeping in satellite formation flying, and robust ILC can be effectively utilized for satellite trajectory tracking, thus enabling time-variant formation flying between the leader and follower.Abstract:
This paper proposes an iterative learning control (ILC) scheme to ensure trajectory-keeping in satellite formation flying. Since satellites rotate the earth periodically, position-dependent disturbances can be considered time-periodic disturbances. This observation motivates the idea of repetitively compensating for external disturbances such as solar radiation, magnetic field, air drag, and gravity forces in an iterative, orbit-to-orbit manner. It is shown that robust ILC can be effectively utilized for satellite trajectory tracking, thus enabling time-variant formation flying between the leader- and follower-satellites. The validity of the results is illustrated through computational simulations. Copyright © 2009 John Wiley & Sons, Ltd.read more
Citations
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Journal ArticleDOI
Survey on stochastic iterative learning control
Dong Shen,Youqing Wang +1 more
TL;DR: This manuscript surveys the current state of the art in SILC from the perspective of key techniques, which are divided into three parts: SILC for linear stochastic systems, SilC for nonlinear stochastics systems, and systems with other stochastically signals.
Journal ArticleDOI
Model Free Adaptive Iterative Learning Consensus Tracking Control for a Class of Nonlinear Multiagent Systems
TL;DR: This paper proposes a distributed model free adaptive iterative learning control (MFAILC) method for a class of unknown nonlinear multiagent systems to perform consensus tracking that can be achieved only utilizing the input/output data of the multiagent system.
Journal ArticleDOI
On iterative learning algorithms for the formation control of nonlinear multi-agent systems
TL;DR: Using the nearest neighbor knowledge, a distributed algorithm is constructed by employing the iterative learning control approach to obtain the desired relative formations of agents, which benefits from the strict positiveness of products of stochastic matrices.
Journal ArticleDOI
Iterative learning approaches to design finite-time consensus protocols for multi-agent systems
Deyuan Meng,Yingmin Jia +1 more
TL;DR: In this paper, the finite-time output consensus problem of multi-agent systems is considered by using the iterative learning control (ILC) approach, and two classes of distributed protocols are constructed from the two-dimensional system point of view, and are termed as iterativelearning protocols.
Journal ArticleDOI
Robust Consensus Tracking Control for Multiagent Systems With Initial State Shifts, Disturbances, and Switching Topologies
TL;DR: It is shown that the matrix norm conditions can be developed to achieve the convergence of the considered consensus tracking objectives and necessary and sufficient conditions are presented in terms of linear matrix inequalities to guarantee their feasibility in the sense of the spectral norm.
References
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Journal ArticleDOI
Bettering Operation of Robots by Learning
TL;DR: A betterment process for the operation of a mechanical robot in a sense that it betters the nextoperation of a robot by using the previous operation's data is proposed.
Journal ArticleDOI
Iterative Learning Control: Brief Survey and Categorization
TL;DR: The iterative learning control (ILC) literature published between 1998 and 2004 is categorized and discussed, extending the earlier reviews presented by two of the authors.
Journal ArticleDOI
TanDEM-X: A Satellite Formation for High-Resolution SAR Interferometry
Gerhard Krieger,Alberto Moreira,Hauke Fiedler,Irena Hajnsek,Marian Werner,Marwan Younis,Manfred Zink +6 more
TL;DR: A detailed overview of the TanDEM-X mission concept is given which is based on the systematic combination of several innovative technologies, including a novel satellite formation flying concept allowing for the collection of bistatic data with short along-track baselines, as well as the use of new interferometric modes for system verification and DEM calibration.
Journal ArticleDOI
A coordination architecture for spacecraft formation control
TL;DR: A coordination architecture that subsumes leader-following, behavioral, and virtual-structure approaches to the multiagent coordination problem is introduced and illustrated through a detailed application of the ideas to the problem of synthesizing a multiple spacecraft interferometer in deep space.