Decomposition and decentralized control of systems with multi-overlapping structure

Authors:
Xue-Bo Chen;Srdjan S. Stanković
Affiliations:
School of Electronics and Information Engineering, Anshan University of Science and Technology, Anshan 114044, People's Republic of China;Faculty of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia and Montenegro
Venue:
Automatica (Journal of IFAC)
Year:
2005

Citing 2
Cited 6

Nested epsilon decompositions of linear systems: weakly coupled and overlapping blocks

SIAM Journal on Matrix Analysis and Applications
Decentralized estimation and control with overlapping input, state, and output decomposition

Automatica (Journal of IFAC)

Consensus based overlapping decentralized estimation with missing observations and communication faults

Automatica (Journal of IFAC)
Inclusion principle for dynamic graphs

ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
Pair-wise decomposition and coordinated control of complex systems

Information Sciences: an International Journal
Asymptotic equivalent analysis for LTI overlapping large-scale systems and their subsystems

ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
Connective stability analysis for a class of large-scale systems based on the inclusion principle

ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part II
Optimal structured static state-feedback control design with limited model information for fully-actuated systems

Automatica (Journal of IFAC)

Quantified Score

Hi-index	22.15

Visualization

Abstract

This paper considers decomposition and decentralized control of systems with multi-overlapping structure. It is demonstrated, using the inclusion principle, how the systems with longitudinal, loop and radial topologies can be expanded, and how the results can be used for designing controllers under information structure constraints. The proposed methodology is applied to automatic generation control (AGC) of an electric power system.