Hybrid systems: quantization and abstraction

Lunze, Jan; Bicchi, Antonio; Moor, Thomas; Palopoli, Luigi; Picasso, Bruno; Raisch, Jörg; Schild, Axel

doi:10.1017/cbo9780511807930.007

Cited by 7 publications

(12 citation statements)

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“…It consists of the numerical integration of very complex systems and the synchronized execution of the continuous and discrete model dynamics. In that field, some studies have been reported in the literature [7].…”

Section: Introductionmentioning

confidence: 99%

Modeling and simulation of the two-tank system within a hybrid framework

Yaakoubi

Haggège

2023

IJECE

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<p><span lang="EN-US">Most real-world dynamical systems are often involving continuous behaviors and discrete events, in this case, they are called hybrid dynamical systems (HDSs). To properly model this kind of systems, it is necessary to consider both the continuous and the discrete aspects of its dynamics. In this paper, a modeling framework based on the hybrid automata (HA) approach is proposed. This hybrid modeling framework allows combining the multi-state models of the system, described by nonlinear diﬀerential equations, with the system’s discrete dynamics described by ﬁnite state machines. To attest to the efficiency of the proposed modeling framework, its application to a two-tank hybrid system (TTHS) is presented. The TTHS studied is a typical benchmark for HDSs with four operating modes. The MATLAB Simulink and Stateflow tools are used to implement and simulate the hybrid model of the TTHS. Different simulations results demonstrate the efficiency of the proposed modeling framework, which allows us to appropriately have a complete model of an HDS.</span></p>

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Section: Introductionmentioning

confidence: 99%

Modeling and simulation of the two-tank system within a hybrid framework

Yaakoubi

Haggège

2023

IJECE

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“…Here, the problem of energy management is looked at from two discrete and continuous perspectives. In the energy management unit, a discrete control system based on Mealy machine [23,24] is used to generate coordination signals and determine what continuous controlling method (MPPT or RHC [25]) should be performed in each local unit.…”

Section: Introductionmentioning

confidence: 99%

Energy management and harmonic compensation of micro‐grids via multi‐agent systems based on decentralized control architecture

Salehirad

Emamzadeh

2022

IET Renewable Power Gen

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Here, a new energy management strategy based on a multi-agent structure is presented by introducing hybrid control of AC micro-grid (MG), where current harmonics compensation is also considered. This energy management strategy is based on Mealy machine in a multi-agent system (MAS), which is implemented by generating coordination signals and sending them to the renewable energy sources (RES). In RES, maximum power point tracking (MPPT) or reverse of Hill-climbing (RHC) is used based on these received coordination signals to limit the exchange power between the MG and the grid. Also, the multi-agent structure of shunt active power filters (SAPFs) and passive filters have been studied in power MGs. The comparison of MG current harmonic compensation by these filters by fast Fourier transform (FFT) algorithm has been investigated in the proposed network. The simulation results show that the proposed energy management system (EMS) with proper management of MG different agents has been able to have a suitable performance for hybrid distributed generation (DG) systems. Also, the SAPF with better and more appropriate harmonic compensation than the SC-RC-LCL passive filter can eliminate the harmonic pollution of MG and be used with high performance in hybrid DG systems.

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“…There are several approaches to model hybrid systems [6]. In [1] model of a large class of hybrid systems is considered as a discrete event system.…”

Section: Introductionmentioning

confidence: 99%

“…Such models are used to formulate a general stability analysis and controller synthesis framework for hybrid systems. Results for modeling and stability analysis of hybrid systems have been presented in [7], [3] and [6]. In the present paper, we follow the class of hybrid system known as switched systems [5].…”

Section: Introductionmentioning

confidence: 99%

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Robust control system design in frequency domain

Veselý¹,

Osuský²

2013

Archives of Control Sciences

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In this paper two robust control methods for hybrid system are presented. Both methods are usefull for SISO and MIMO systems. Controller design procedure is developed in frequency domain. Equivalent subsystem method is used for controller design in this paper. Stability condition of proposed methods bases on small gain theory and uses additive and inverse additive model type. Two tank water system is presented in the paper and serves as a numerical example to compare effectiveness of described methods

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Hybrid systems: quantization and abstraction

Cited by 7 publications

References 0 publications

Modeling and simulation of the two-tank system within a hybrid framework

Modeling and simulation of the two-tank system within a hybrid framework

Energy management and harmonic compensation of micro‐grids via multi‐agent systems based on decentralized control architecture

Robust control system design in frequency domain

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