scholarly journals Hierarchical identification of large-scale system models

1997 ◽  
Author(s):  
◽  
Boris R. Jankovic
Keyword(s):  
System Identification ◽  
Large Scale ◽  
Complex Problem ◽  
Hierarchical Identification ◽  
Large Scale Systems ◽  
Large Scale System ◽  
System Models ◽  
The One

In this study we propose a new concept and methodology of hierarchical identification. The need for such a methodology comes from the fact that identification of large-scale systems (LSSs) by one-shot approach may be numerically very complex. The analysis of LSSs is, in general, not approached by the one-shot methodologies normally associated with non-LSSs. The proposed method of hierarchical identification can be therefore viewed as an extension of LSS methodologies to system identification. LSS methodology aims at breaking up the initial, complex problem into a set of smaller size subproblems.

scholarly journals Large-Scale Systems Control Design via LMI Optimization

2015 ◽  
Vol 44 (3) ◽  
pp. 247-253
Author(s):  
Branislav Rehak
Keyword(s):  
Decentralized Control ◽  
Large Scale ◽  
Expert Knowledge ◽  
Control Design ◽  
Large Scale Systems ◽  
Large Scale System ◽  
Lmi Optimization ◽  
Control Gain ◽  
Systems Control

A control design for a large-scale system using LMI optimization is proposed. The control is designed in a way such that the LQ cost in the case of the decentralized control  does not exceed a certain limit. The optimized quantity are the values of the control gain matrices. The methodology is useful even for finding a decomposition of the system, however, some expert knowledge is necessary in this case. The capabilities of the algorithm are illustrated by two examples.DOI: http://dx.doi.org/10.5755/j01.itc.44.3.6464

scholarly journals Organically Structured Control of Large-Scale Systems with Expanding Construction Based on State Observation

2015 ◽  
Vol 2015 ◽  
pp. 1-21 ◽  
Author(s):  
Li Xiaohua ◽  
Liu Xiaoping ◽  
Liu Yang ◽  
Gao Jiawang
Keyword(s):  
Large Scale ◽  
State Feedback ◽  
Design Method ◽  
State Feedback Control ◽  
Control Laws ◽  
Large Scale Systems ◽  
Large Scale System ◽  
State Observation ◽  
State Observers ◽  
Matrix Condition

This paper presents a new method on the problem of organically structured control based on state observation for a class of large-scale systems with expanding construction. This problem is to design a local state feedback controller and an observer for a new subsystem which is added to a large-scale system without changing the decentralized state feedback control laws of the original construction, so that both the new subsystem and the resulting expanded system are robustly connectively stable. Firstly, based on state observers, the mathematical model of a large-scale system with expanding construction is reestablished and analyzed. In addition, the sufficient condition for robust decentralized connective stabilization of the expanded construction of large-scale systems is deduced by taking an LMI approach, which is further relaxed by removing the square matrix condition on the output matrix. This problem is transformed into solving an LMI problem. The new design method of an organically structured controller and observer for the expanded construction is also given. Finally, the simulation examples show the effectiveness of the proposed method.

ELECTRIC MODELS OF LARGE-SCALE SYSTEMS AND THEIR ANALOGY TO THERMODYNAMIC SYSTEMS

2006 ◽  
Vol 15 (04) ◽  
pp. 505-519
Author(s):  
Y. BERKOVICH ◽  
G. GOLAN
Keyword(s):  
Large Scale ◽  
Energy Exchange ◽  
Electric Circuit ◽  
Energy Concentration ◽  
Irreversible Processes ◽  
Electric Circuits ◽  
Large Scale Systems ◽  
Complex Calculation ◽  
Mechanical Models ◽  
The One

The paper deals with electric models applied in the investigation of complex systems, such as transport, economic, and neuron systems. The increasing interest in such systems can be explained by the fact that they are characterized by parallel (collective) means of complex calculation processes, under the influence of inner information processes. Electric models can also be looked upon as original structures for neuron-like systems. The paper puts emphasis on comparison between the electric models suggested by the authors, on the one hand, and the mechanical and thermal models, on the other hand. It has been shown that entropy phenomena, typical for the latter, can be closely compared to those of electric models, which are distinguished by pure electric values. Also, it has been shown that irreversible processes of energy dissipation, e.g., entropy processes in mechanical models, are corresponded to processes of energy concentration, energy transfer, and/or energy exchange in electric models. This enables us to shed a new light on processes in electric circuit, especially those concerning with structural improvements of electric circuitry and their self-organization, meaning a neg-entropic information character of these processes. Models of two economic tasks have been considered, wherein the calculation process is characterized under the influence of these processes. Assumption on the importance of reactive elements such as carriers of neg-entropy in electric circuits was made as well.

Large-Scale Systems and Society

2012 ◽  
pp. 280-305
Author(s):  
Lambert Spaanenburg
Keyword(s):  
Cloud Computing ◽  
Complex Systems ◽  
Real Time ◽  
Large Scale ◽  
Divide And Conquer ◽  
Building Structure ◽  
It Infrastructure ◽  
Large Scale Systems ◽  
Large Scale System ◽  
Distributed Intelligence

Large-scale systems pose high demands on computation resources. Where such systems are equipped with a real-time IT infrastructure, one finds distributed sensory systems. For instance, a building structure such as a dike or a skyscraper, with sensors to monitor its health, creates a large-scale system. Typically, complex systems with distributed intelligence are hard to design, test, and maintain by divide-and-conquer. Where design is laborious, schooling is even harder. It is advocated here that cloud-computing provides the required flexibility. Based on this, a teaching format for a cloud-based Master’s course on large-scale systems is introduced.

Social movements thinking for managing change in large-scale systems

2020 ◽  
Vol 33 (5) ◽  
pp. 697-714
Author(s):  
Judith A. Holton
Keyword(s):  
Social Movements ◽  
Conceptual Framework ◽  
Large Scale ◽  
System Change ◽  
Status Quo ◽  
Content Type ◽  
Large Scale Systems ◽  
Large Scale System ◽  
The Status

PurposeThis study explores the efficacy of social movements thinking for mobilizing resources toward sustainable change in large-scale systems such as health and social services.Design/methodology/approachThe study proceeds from a critical realist perspective employing a qualitative multi-case study approach. Drawing on the tenets of grounded theory (i.e. constant comparative analysis and theoretical sampling), data from semi-structured interviews and field notes were analyzed to facilitate theoretical integration and elaboration.FindingsOne case study explores the emergence of social movements thinking in mobilizing a community to engage in sustainable system change. Data analysis revealed a three-stage conceptual framework whereby building momentum for change requires a fundamental shift in culture through openness and engagement to challenge the status quo by acknowledging not only the apparent problems to be addressed but also the residual apathy and cynicism holding the system captive to entrenched ideas and behaviors. By challenging the status quo, energy shifts and momentum builds as the community discovers shared values and goals. Achieving a culture shift of this magnitude requires leadership that is embedded within the community, with a personal commitment to that community and with the deep listening skills necessary to understand and engage the community and the wider system in moving forward into change. This emergent conceptual framework is then used to compare and discuss more intentional applications of social movements thinking for mobilizing resources for large-scale system change.Originality/valueThis study offers a three-stage conceptual framework for mobilizing community/system resources toward sustainable large-scale system change. The comparative application of this framework to more intentional applications of social movements thinking to planned change initiatives offers insights and lessons to be learned when large-scale systems attempt to apply such principles in redesigning health and social service systems.

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