標(biāo)題: Titlebook: Distributed Model Predictive Control Made Easy; José M. Maestre,Rudy R. Negenborn Book 2014 Springer Science+Business Media Dordrecht 2014 [打印本頁(yè)] 作者: 銀河 時(shí)間: 2025-3-21 17:36
書(shū)目名稱(chēng)Distributed Model Predictive Control Made Easy影響因子(影響力)
書(shū)目名稱(chēng)Distributed Model Predictive Control Made Easy影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Distributed Model Predictive Control Made Easy網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Distributed Model Predictive Control Made Easy網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Distributed Model Predictive Control Made Easy被引頻次
書(shū)目名稱(chēng)Distributed Model Predictive Control Made Easy被引頻次學(xué)科排名
書(shū)目名稱(chēng)Distributed Model Predictive Control Made Easy年度引用
書(shū)目名稱(chēng)Distributed Model Predictive Control Made Easy年度引用學(xué)科排名
書(shū)目名稱(chēng)Distributed Model Predictive Control Made Easy讀者反饋
書(shū)目名稱(chēng)Distributed Model Predictive Control Made Easy讀者反饋學(xué)科排名
作者: 含鐵 時(shí)間: 2025-3-21 20:56 作者: 從容 時(shí)間: 2025-3-22 02:43
Cooperative Tube-based Distributed MPC for Linear Uncertain Systems Coupled Via Constraintsent disturbances. Control agents make decisions locally and exchange plans; satisfaction of coupling constraints is ensured by permitting only non-coupled subsystems to update simultaneously. Robustness to disturbances is achieved by use of the tube MPC concept, in which a local control agent design作者: Esalate 時(shí)間: 2025-3-22 06:29 作者: 小歌劇 時(shí)間: 2025-3-22 09:39
Distributed MPC for Consensus and Synchronization common, cooperative control objective. The proposed DMPC algorithm cannot only be used for classical control objectives such as set point stabilization, but also for more general cooperative control tasks such as consensus and synchronization problems. Possible application fields include teams of m作者: LARK 時(shí)間: 2025-3-22 14:17 作者: LARK 時(shí)間: 2025-3-22 19:07
Distributed MPC Via Dual Decomposition and Alternative Direction Method of Multipliersr, at each time-step, it might not be feasible to wait for the dual algorithm to converge. As a result, the algorithm might be needed to be terminated prematurely. One is then interested to see if the solution at the point of termination is close to the optimal solution and when one should terminate作者: Cosmopolitan 時(shí)間: 2025-3-23 01:02 作者: 帶傷害 時(shí)間: 2025-3-23 03:14 作者: scrape 時(shí)間: 2025-3-23 09:00 作者: 生氣的邊緣 時(shí)間: 2025-3-23 10:19 作者: embolus 時(shí)間: 2025-3-23 17:24
Distributed Optimization for MPC of Linear Dynamic Networkse models consist of networks of subsystems with deterministic and uncertain dynamics subject to local and coupling constraints on the control and output signals. The distributed optimization algorithms are based on gradient-projection, subgradient, interior-point, and dual strategies that depend on 作者: 善辯 時(shí)間: 2025-3-23 21:25 作者: Integrate 時(shí)間: 2025-3-24 01:27 作者: 貨物 時(shí)間: 2025-3-24 05:22 作者: 空中 時(shí)間: 2025-3-24 10:27 作者: Genome 時(shí)間: 2025-3-24 14:13 作者: paragon 時(shí)間: 2025-3-24 15:09
Distributed MPC of Interconnected Nonlinear Systems by Dynamic Dual Decomposition dynamics subject to both state and input constraints is proposed. The approach applies a dynamic dual decomposition method to reformulate the original centralized NMPC problem into a distributed quasi-NMPC problem by linearization of the nonlinear system dynamics and taking into account the couplin作者: 壟斷 時(shí)間: 2025-3-24 22:02
D-SIORHC, Distributed MPC with Stability Constraints Based on a Game Approachure, thereby reducing the computational load. This approach differs from other distributed MPC algorithms based on linear models in the inclusion of stability constraints in the local controllers that leads to a different control law. The controller usage is illustrated through its application to a 作者: Malfunction 時(shí)間: 2025-3-25 00:05
Adaptive Quasi-Decentralized MPC of Networked Process Systemsal process state within each local control system. Whenever the forecast shows signs of instability of the local process state, the measurements of the entire process state are transmitted to update the model within this particular control system to ensure stability; otherwise, the local control sys作者: 不自然 時(shí)間: 2025-3-25 06:20
Distributed Lyapunov-Based MPCporal monotonicity of the network-wide CLF. For infinity-norm based structured CLFs and input-affine dynamics, we show that the decentralized MPC algorithm can be implemented by solving a single linear program in each network node. Two application examples are provided to illustrate the effectivenes作者: 群島 時(shí)間: 2025-3-25 09:37
Book 2014tures make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available..作者: 誘惑 時(shí)間: 2025-3-25 14:35 作者: guzzle 時(shí)間: 2025-3-25 19:11 作者: 發(fā)怨言 時(shí)間: 2025-3-25 20:33
https://doi.org/10.1057/9780230270855poral monotonicity of the network-wide CLF. For infinity-norm based structured CLFs and input-affine dynamics, we show that the decentralized MPC algorithm can be implemented by solving a single linear program in each network node. Two application examples are provided to illustrate the effectivenes作者: 小說(shuō) 時(shí)間: 2025-3-26 02:41
2213-8986 buted MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available..978-94-024-0714-3978-94-007-7006-5Series ISSN 2213-8986 Series E-ISSN 2213-8994 作者: 中和 時(shí)間: 2025-3-26 07:47
https://doi.org/10.1057/9780230252998tual benefit. This allows to deal with the cooperation issues of the DMPC problem. Additionally, the bargaining game framework allows to formulate solutions where the subsystems do not have to solve more than one optimization at each time step. This also reduces the computational burden of the local optimization problems.作者: 容易做 時(shí)間: 2025-3-26 09:40 作者: 瘙癢 時(shí)間: 2025-3-26 14:27 作者: Hemoptysis 時(shí)間: 2025-3-26 19:41
Rate Analysis of Inexact Dual Fast Gradient Method for Distributed MPCain a distributed control strategy that has the following features: state and input constraints are satisfied, stability of the plant is guaranteed, whilst the number of iterations for the suboptimal solution can be precisely determined.作者: Extemporize 時(shí)間: 2025-3-26 21:12
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作者: follicular-unit 時(shí)間: 2025-3-27 02:58
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.作者: 洞察力 時(shí)間: 2025-3-27 06:40
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.作者: 褻瀆 時(shí)間: 2025-3-27 10:13
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.作者: enchant 時(shí)間: 2025-3-27 17:12 作者: 漂泊 時(shí)間: 2025-3-27 21:03
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 作者: Infirm 時(shí)間: 2025-3-28 00:32
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.作者: 配偶 時(shí)間: 2025-3-28 02:56
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.作者: Lipohypertrophy 時(shí)間: 2025-3-28 09:17 作者: Postmenopause 時(shí)間: 2025-3-28 10:47 作者: 陰謀 時(shí)間: 2025-3-28 15:08
Distributed MPC Via Dual DecompositionThis 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.作者: Exploit 時(shí)間: 2025-3-28 21:46
Mixed-Integer Programming Techniques in Distributed MPC Problemsexploit geometric properties of hyperplane arrangements and adapt this description to the distributed scheme in order to provide an efficient Model Predictive Control (MPC) solution. Furthermore, we prove constraint validation for a hierarchical ordering of the agents.作者: 性冷淡 時(shí)間: 2025-3-29 00:11
https://doi.org/10.1057/9780230252998udes 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.作者: 廣口瓶 時(shí)間: 2025-3-29 07:01
https://doi.org/10.1057/9780230252998w 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.作者: 詞匯 時(shí)間: 2025-3-29 10:42 作者: Banister 時(shí)間: 2025-3-29 12:33
The British Commonwealth and Empirea bundle method at the coordination layer that enables to enhance the performance and the real-time implementability of the proposed approach. The scheme performance is assessed using a real-life energy coordination problem in a building involving 20 zones that have to share a limited amount of total power.作者: CRAB 時(shí)間: 2025-3-29 16:14 作者: limber 時(shí)間: 2025-3-29 23:37 作者: Ballerina 時(shí)間: 2025-3-29 23:59
https://doi.org/10.1057/9780230270855s a distributed CG strategy for the supervision of a network of interconnected, possibly dynamically coupled, subsystems. Such an approach could be useful in situations where the use of a centralized coordination unit may be impracticable because requiring unrealistic or unavailable communication infrastructures.作者: PHIL 時(shí)間: 2025-3-30 07:05
https://doi.org/10.1057/9780230270855 large-scale nonlinear systems. The theoretical results related to the application of the distributed MPC approach to both linear and nonlinear systems are outlined and some simulation results are provided.作者: 出價(jià) 時(shí)間: 2025-3-30 10:40 作者: Condense 時(shí)間: 2025-3-30 13:01
Distributed Optimization for MPC of Linear Dynamic Networksre influenced by the control signals of the upstream subsystems with constraints on state and control variables. A distributed gradient-based algorithm is presented for implementing an interior-point method distributively with a network of agents, one for each subsystem.作者: 記憶法 時(shí)間: 2025-3-30 19:48 作者: CREEK 時(shí)間: 2025-3-30 23:04 作者: 出來(lái) 時(shí)間: 2025-3-31 04:31 作者: slow-wave-sleep 時(shí)間: 2025-3-31 05:33
A Distributed Reference Management Scheme in Presence of Non-Convex Constraints: An MPC Based ApproaG) strategy is here proposed to coordinate a set of dynamically decoupled subsystems. The approach results in a receding horizon strategy that requires the computation of mixed-integer optimization programs.作者: characteristic 時(shí)間: 2025-3-31 11:50 作者: 騷動(dòng) 時(shí)間: 2025-3-31 15:59
978-94-024-0714-3Springer Science+Business Media Dordrecht 2014作者: Insulin 時(shí)間: 2025-3-31 20:50 作者: EVEN 時(shí)間: 2025-3-31 23:46
https://doi.org/10.1057/9780230252998ynamical systems coupled by linear global constraints. The resulting structure is composed of one optimization agent for each system, and another one that has to ensure that the global constraints are fulfilled. The global solution of the problem is found in a finite number of iterations.作者: 樂(lè)意 時(shí)間: 2025-4-1 02:39
https://doi.org/10.1057/9780230270855G) strategy is here proposed to coordinate a set of dynamically decoupled subsystems. The approach results in a receding horizon strategy that requires the computation of mixed-integer optimization programs.
