Titlebook: Distributed Model Predictive Control Made Easy; José M. Maestre,Rudy R. Negenborn Book 2014 Springer Science+Business Media Dordrecht 2014

Extemporize

Book 2014d the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approach

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On 35 Approaches for Distributed MPC Made Easy,udes with an extensive categorization of the techniques described in this book, and compact representations of the properties of each individual technique. As such, this chapter serves as a starting point for further developing understanding of the various particularities of the different techniques.

洞察力

Price-driven Coordination for Distributed NMPC Using a Feedback Control Laww to fulfill the global constraints that affect all NMPC controllers. To illustrate this approach, the price-driven coordination method is used to control a four-tank process in a distributed manner and is compared with centralized and fully decentralized approaches.

亵渎

Distributed MPC Via Dual Decomposition and Alternative Direction Method of Multipliers the algorithm if a certain distance to optimality is to be guaranteed. In this chapter, we look at this problem for distributed systems under general dynamical and performance couplings, then, we make a statement on validity of similar results where the problem is solved using alternative direction method of multipliers.

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漂泊

2213-8986 riptions of computations/equations; theoretical results; and.The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as

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https://doi.org/10.1057/9780230252998on, but also for more general cooperative control tasks such as consensus and synchronization problems. Possible application fields include teams of mobile robots, formation flight of aircrafts, as well as satellite control.

配偶

https://doi.org/10.1057/9780230270855This allows coordination of all the subsystems without the need of sharing local dynamics, objectives and constraints. To illustrate this, an example is included where dual decomposition is used to resolve power grid congestion in a distributed manner among a number of players coupled by distribution grid constraints.

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