Realization using the Roesser model for implementations in distributed grid sensor networks

Sumanasena, Buddika; Bauer, Péter

doi:10.1007/s11045-010-0143-y

Cited by 33 publications

(4 citation statements)

References 15 publications

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“…The main contributions of this paper are the real-time realization of a modified 2-D Roesser model for in-swarm distributed processing of line and v-shape formations. This work extends the results in [ 22 ] that only work for rectangular static 2-D sensor networks. The approach allows detecting signals of interest during motion without communicating data into or out of the swarm.…”

Section: Introductionsupporting

confidence: 82%

“…If we replace

and

in (1) with the corresponding horizontal status

and vertical status

in (2), the distributed processing problem will be solved by transmitting the status variable with certain propagation causalities defined above. The work in [ 22 ] provides a distributed processing model for the case of a fixed rectangular two-dimensional lattice of a sensor network. Since the full 2-D sampling lattice is not available at any given time for moving swarm in formations, one cannot perform the algorithm in (2) as outlined in Figure 2 .…”

Section: Methodsmentioning

confidence: 99%

“…We have shown a formation-based method for collaborative decision making in a scanner-like way of a low-complexity robots swarm with distributed processing paradigm [ 21 ]. In this work, formation formed swarm was treated as a moving sensor network, in which could utilize some multi-dimensional-based algorithms in a distributed manner [ 22 ]. We extended the work to more general cases that address not only the line formation case but also the v-shape case on both distributed signal processing and collaborative decision making aspects.…”

Section: Introductionmentioning

confidence: 99%

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Line and V-Shape Formation Based Distributed Processing for Robotic Swarms

Yang

Wang

Bauer

2018

Sensors

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Efficient distributed processing is vital for collaborative searching tasks of robotic swarm systems. Typically, those systems are decentralized, and the members have only limited communication and processing capacities. What is illustrated in this paper is a distributed processing paradigm for robotic swarms moving in a line or v-shape formation. The introduced concept is capable of exploits the line and v-shape formations for 2-D filtering and processing algorithms based on a modified multi-dimensional Roesser model. The communication is only between nearest adjacent members with a simple state variable. As an example, we applied a salient region detection algorithm to the proposed framework. The simulation results indicate the designed paradigm can detect salient regions by using a moving line or v-shape formation in a scanning way. The requirement of communication and processing capability in this framework is minimal, making it a good candidate for collaborative exploration of formatted robotic swarms.

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Section: Introductionsupporting

confidence: 82%

“…If we replace

and

in (1) with the corresponding horizontal status

and vertical status

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Line and V-Shape Formation Based Distributed Processing for Robotic Swarms

Yang

Wang

Bauer

2018

Sensors

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“…The study of two and higher dimensional systems has attracted significant attention in recent years due to a variety of applications such as broadband beamforming [1], multipass processes [2], video and lightfield processing [3], digital filtering, image processing, gas filtration, thermal processes, geophysics, medical electronics, sensor networks, two-dimensional (2-D) discrete control systems, and so forth [4][5][6][7][8]. The common feature of these applications is that the signals to be processed are functions of two or more variables, which can be various combinations of space and/or time and so forth.…”

Section: Introductionmentioning

confidence: 99%

Stability analysis of 2‐D discrete and continuous state‐space systems

Kanellakis

Tawfik

Agathoklis

2021

IET Control Theory & Appl

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This paper presents new stability conditions for two-dimensional (2-D) systems in statespace description. Both discrete and continuous systems are studied. These results are based on the criteria first presented by Huang, De Carlo, Strintzis, Murray, Delsarte, et al. and on the discrete Lyapunov equation with complex elements for 2-D systems. The stability properties of the Mansour matrix are also used for stability testing in state-space. Criteria for the VSHP property of 2-D polynomials are further presented using the continuous Lyapunov equation with complex elements and the stability properties of the Schwarz matrix form. The stability properties of the Schwarz matrix are also used for testing the VSHP property of 2-D polynomials in state-space. The proposed new criteria are nonconservative for the stability analysis of 2-D discrete and continuous systems and achieve the aim of reducing the original 2-D problem as much as possible to a set of 1-D stability tests. Numerical examples are given to illustrate the utility of the proposed conditions.

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