Model coordination-based decentralized control of composite multivariable system

Bukov, V. N.; Bronnikov, A. M.; Selvesyuk, N. I.

doi:10.1134/s0005117909100014

Cited by 6 publications

(5 citation statements)

References 7 publications

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“…The equality (16) gives birth to a formula for a transfer matrix from a driving vector u r to a following state error The truth of equality ( 6) runs out from here.…”

Section: Discussionmentioning

confidence: 97%

“…Since the matrices in condition ( 7) have block structure, this condition may be rewritten in an equivalent form (M 2 conditions), which is known from [16]…”

Section: Theoremmentioning

confidence: 99%

“…This article consists of two parts. In the first part, the present authors develop the results of the previous paper [16] and consider the problem of generalizing these results to a compound system with arbitrary MIMO subsystems and control using outputs. For that, on the one hand, a number of simplifications are assumed (a fully certain linear system is considered).…”

Section: Introductionmentioning

confidence: 99%

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Decentralized coordinated control for a group of aircraft

Bukov

Bronnikov

Selvesyuk

2009

Proceedings of the Institution of Mechanical Engineers, Part G:

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The task of decentralized coordinated control for vertical trajectory movement of a group of different types of pilotless aircraft is considered here. The aircraft do not exchange information. Remote control of each plane is realized by a ground-based command post with a radio channel. An approach to decentralized control with model coordination is used for a compound system with local multiple-input multiple-output (MIMO) subsystems. The approach is based on the results of system embedding technology.

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“…The equality (16) gives birth to a formula for a transfer matrix from a driving vector u r to a following state error The truth of equality ( 6) runs out from here.…”

Section: Discussionmentioning

confidence: 97%

“…Since the matrices in condition ( 7) have block structure, this condition may be rewritten in an equivalent form (M 2 conditions), which is known from [16]…”

Section: Theoremmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Decentralized coordinated control for a group of aircraft

Bukov

Bronnikov

Selvesyuk

2009

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…As an example, the system can be used to solve the problem of decentralized control of the trajectory of the group of the pilotless aircrafts of different types in the horizontal plane [Bukov, Bronnikov and Selvesuyk, 2009], [Parsheva, 2009]. The aircrafts do not exchange data with each other.…”

Section: Examplementioning

confidence: 99%

Robust output control of multi-agent plants with state delay

Parsheva

Ternovaja

2019

CAP

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The problem of a robust control system design for interconnected systems with structural and parametrical uncertainty was solved for the case where derivatives of input and output parameters cannot be measured. The order of the mathematical model may change over time. Operability of the designed control systems in the case of non-measurable and bounded disturbances acting on the controlled plant was demonstrated. Only the measurable variables of the local subsystems are used to generate the control actions, that is, control is completely decentralized.

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“…Interconnected systems (ICS) used [1][2][3][4][5] to control actuators for robots and manipulators [6,7], and various technical systems [8,9]. ICS identification methods based on an adaptive approach [10], a black box concept for non-stationary multi-connected systems with uncertainty [11].…”

Section: Introductionmentioning

confidence: 99%

On Adaptive Identification of Interconnected Systems

Karabutov

2024

Preprint

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. Interconnected control systems (ICS) widely apply to various technical systems. ICS has a complex description. Therefore, simplified models use, which the specifics of an object do not always reflect. So, the problem of synthesizing mathematical models is topical. The work purpose is to develop an approach to obtaining models in conditions of incomplete a priori information. We use an adaptive approach. As examples, two-channel systems (TCS) with cross-links and identical channels consider, and a method for mathematical model design. We consider the system with asymmetric cross-links and evaluate their impact on properties of an adaptive identification system. Approach proposed to assessing the TCS identifiability with cross-links. The excitation constancy influence on TСS parameter estimates is studied. A generalization of the proposed approach is given for an interconnected system.

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Model coordination-based decentralized control of composite multivariable system

Cited by 6 publications

References 7 publications

Decentralized coordinated control for a group of aircraft

Decentralized coordinated control for a group of aircraft

Robust output control of multi-agent plants with state delay

On Adaptive Identification of Interconnected Systems

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