Distributed Model Predictive Control Applied to a Sewer System
نویسندگان
چکیده
منابع مشابه
Suboptimal Hybrid Model Predictive Control: Application to Sewer Networks
This paper presents an application of the suboptimal hybrid model predictive control (HMPC) algorithm previously proposed by the authors to large scale sewer networks. HMPC relies on the on-line solution of mixed integer programs (MIP) that are known to be NP-complete and whose worst case complexity scales exponentially with problem size. Modern MIP solvers are on the other hand highly efficien...
متن کاملModel Predictive Control of Distributed Energy Resources with Predictive Set-Points for Grid-Connected Operation
This paper proposes an MPC - based (model predictive control) scheme to control active and reactive powers of DERs (distributed energy resources) in a grid - connected mode (either through a bus with its associated loads as a PCC (point of common coupling) or an MG (micro - grid)). DER may be a DG (distributed generation) or an ESS (energy storage system). In the proposed scheme, the set - poin...
متن کاملDistributed Model Predictive Control of a Four-tank System
A distributed model predictive control (DMPC) framework is proposed. The physical plant structure and the plant mathematical model are used to partition the control duties over self-sufficient estimation and control nodes. Linear models and local measurements at the nodes are used to estimate the relevant plant states. This information is then used in the model predictive control calculations. ...
متن کاملCognitive Strategic Model applied to a Port System
Port organizations have focused their efforts on physical or tangible assets, generating profitability and value. However, it is recognized that the greatest sustainable competitive advantage is the creation of knowledge using the intangible assets of the organization. The Balanced ScoreCard, as a performance tool, has incorporated intangible assets such as intellectual, structural and social c...
متن کاملGame Approach to Distributed Model Predictive Control
In this paper, a novel distributed model predictive control scheme based on Nash optimality is presented for largescale processes, in which the on-line optimization of the whole system is decomposed into that of several small cooperative subsystems in distributed structures. The relevant computational convergence, closed-loop performance and the nominal stability for distributed model predictiv...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Processes
سال: 2020
ISSN: 2227-9717
DOI: 10.3390/pr8121595