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The stability analysis of distributed model predictive control with limited communication

IFAC Proceedings Volumes 2010年第8期43卷 540-545页

作者： Dewei Li Yugeng Xi Department of Automation Shanghai Jiao Tong University Shanghai 200240 China Department ofAutomation Shanghai Jiao Tong University Shanghai 200240 China

For large scale system, distributed model predictive control(MPC) based on Nash optimality can reduce the online computational burden. However, the convergence condition implies that a lot of communication may be needed during one sampling interval, which is unacceptable for practical applications. Under limited communication, the stability conditions for distributed MPC based on Nash optimality is discussed. The conditions can be used to determine the least number of communication times during one sampling interval to guarantee the closed-loop stability. Meanwhile, several special cases, which appear in previous works, are discussed. Furthermore, based on the conditions, a method to design a distributed MPC under limited communication with closed-loop stability guarantee is presented with LMI formulation.

关键词： model predictive control Nash optimality distributed model predictive control limited communication.

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distributed MPC of constrained linear systems with time-varying terminal sets

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SYSTEMS & control LETTERS 2016年 88卷 14-23页

作者： Wang, Zheming Ong, Chong-Jin Natl Univ Singapore Dept Mech Engn 9 Engn Dr 1 Singapore 117576 Singapore

This paper proposes a decoupling strategy for the distributed model predictive control (DMPC) for a network of dynamically-coupled linear systems. Like most DMPC approaches, the proposed approach has a terminal set and uses a Lyapunov matrix for the terminal cost in the online optimization problem for each system. Unlike them, the terminal set changes at every time step and the Lyapunov matrix is not block diagonal. These features result in a less conservative DMPC formulation. The proposed method is easy to implement when the network is strongly connected (or when a central collector is used). Otherwise, the computations of the terminal set require the online solutions of a series of linear programming problems but can be speeded up significantly by preprocessing. Numerical examples showing these results are provided. (C) 2015 Elsevier B.V. All rights reserved.

关键词： distributed model predictive control Time-varying terminal sets

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AUGMENTED LAGRANGIAN PATTERN SEARCH BASED MULTI-AGENT model predictive control OF RHINE-MEUSE DELTA

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ASIAN JOURNAL OF control 2016年第6期18卷 2301-2309页

作者： Sharafi, Narjes Safavi, Ali Akbar Shiraz Univ Sch Comp & Elect Engn Power & Control Engn Dept Shiraz Iran

In Large Scale Systems the concept of centrality fails due to the lack of centralized computing capability. The control of such systems has to be performed using multiple control agents. In this case, the matter of interactions among neighboring subsystems needs to be considered. In this paper, a water control system in the Netherlands is studied as a real large scale system. A multi-agent scheme is applied to control the flow through the system which is decomposed into two interconnected subsystems. Each agent employs a model-based predictive control (MPC) technique. The model of this large scale system is nonlinear and nonconvex. Therefore, an augmented Lagrangian pattern search optimization algorithm is used to implement multi-agent MPC for this system. This proposed algorithm is applied by each control agent to solve its own interconnected optimization problem, at each subsystem of whole the water system. Simulation results show the effectiveness of the proposed approach.

关键词： Augmented Lagrangian pattern search distributed model predictive control large scale systems multi-agent control

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distributed MPC for frequency regulation in multi-terminal HVDC grids

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control ENGINEERING PRACTICE 2016年 46卷 176-187页

作者： Mc Namara, Paul Negenborn, Rudy R. De Schutter, Bart Lightbody, Gordon McLoone, Sean Maynooth Univ Callan Inst Dept Elect Engn Maynooth Kildare Ireland Delft Univ Technol Dept Maritime & Transport Technol Delft Netherlands Delft Univ Technol Delft Ctr Syst & Control Delft Netherlands UCC Dept Elect & Elect Engn Control & Intelligent Syst Grp Cork Ireland Queens Univ Belfast Sch Elect Elect Engn & Comp Sci Energy Power & Intelligent Control Res Cluster Belfast Antrim North Ireland

Multi-Terminal high voltage Direct Current (MTDC) transmission lines enable radial or meshed DC grid configurations to be used in electrical power networks, and in turn allow for significant flexibility in the development of future DC power networks. In this paper distributed MPC is proposed for providing Automatic Generation control (AGC) in Alternating Current (AC) areas connected to MTDC grids. Additionally, a novel modal analysis technique is derived for the distributed MPC algorithm, which in turn can be used to determine the convergence and stability properties of the closed-loop system. (c) 2015 Elsevier Ltd. All rights reserved.

关键词： distributed model predictive control Convergence Stability Modal analysis Auxiliary problem principle Automatic generation control Multi-terminal HVDC

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Tailoring Bicelle Morphology and Thermal Stability with Lanthanide-Chelating Cholesterol Conjugates

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LANGMUIR 2016年第35期32卷 9005-9014页

作者： Isabettini, Stephane Liebi, Marianne Kohlbrecher, Joachim Ishikawa, Takashi Windhab, Erich J. Fischer, Peter Walde, Peter Kuster, Simon Swiss Fed Inst Technol Lab Food Proc Engn Schmelzbergstr 9 CH-8092 Zurich Switzerland Paul Scherrer Inst Lab Macromol & Bioimaging CH-5232 Villigen Switzerland Paul Scherrer Inst Lab Neutron Scattering & Imaging CH-5232 Villigen Switzerland Paul Scherrer Inst Biomol Res Lab CH-5232 Villigen Switzerland Swiss Fed Inst Technol Dept Mat Vladimir Prelog Weg 5 CH-8093 Zurich Switzerland

Bicelles composed of DMPC and phospholipids capable of chelating lanthanide ions, such as 1,2-dimyristoyl-snglycero-3-phospho-ethanolamine-diethylene triaminepentaacetate (DMPE-DTPA), are highly tunable magnetically responsive soft materials. Further doping of these systems with cholesterol-DTPA conjugates complexed to a lanthanide ion considerably enhances the bicelle's size and magnetic alignability. The high value of these cholesterol conjugates for bicelle design remains largely unexplored. Herein, we examine how molecular structural alterations within the cholesterol-DTPA conjugates lead to contrasting self assembled polymolecular aggregate structures when incorporated into DMPC/DMPE-DTPA/Tm3+ bilayers. The nature of the linker connecting the DTPA-chelating moiety to the sterol backbone is examined by synthesizing conjugates of various linker lengths and polarities. The incorporation of these compounds within the bilayer results in polymolecular aggregate geometries of higher curvature. The increasing degrees of freedom for conformational changes conveyed to the chelator headgroup with increasing linker atomic length reduce the cholesterol-DTPA conjugate's critical packing parameter. Consequently, an inverse correlation between the number of carbon atoms in the linker and the bicelle radius is established. The introduction of polarity into the carbon chain of the linker did not cause major changes in the polymolecular aggregate architecture. Under specific conditions, the additives permit the formation of remarkably temperature-resistant bicelles. The versatility of design offered by these amphiphiles gives rise to new and viable tools for the growing field of magnetically responsive soft materials.

关键词： Dimyristoylphosphatidylcholine Degree of freedom Conjugates polarity FLEXIBLE MATERIALS distributed model predictive control Cholesterol thermal stability Amphiphiles Connector Device Component aggregates

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Robust-distributed MPC tolerant to communication loss

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COMPUTERS & CHEMICAL ENGINEERING 2016年 88卷 30-38页

作者： Kumar, Divya Al-Gherwi, Walid Budman, Hector Univ Waterloo Dept Chem Engn Waterloo ON N2L 3G1 Canada

distributed model predictive control (DMPC) algorithms reported in the literature had often assumed that state measurements are available to all subsystems at all time instants. However, this assumption is not valid in the presence of loss of communication or data. Then designing for such losses within DMPC becomes critical to overall performance and stability of the system. In this work communication loss was considered for robust DMPC by using within each subsystem an observer, which continuously and recursively estimates states' bounds for all the plant states. These state bounds are then posed as extra constraints within a Linear Matrix Inequalities' formulation that is used to calculate the control actions based on the minimization of an upper bound on robust performance. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： distributed model predictive control Robustness Linear matrix inequalities

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Enhanced distributed MPC Design for Efficiency Utility of Autonomous Multi-microgrids

Enhanced Distributed MPC Design for Efficiency Utility of Au...

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Asian control Conference

作者： Yigao Du Jing Wu Shaoyuan Li Chengnian Long Department of Automation Shanghai Jiao Tong University Shanghai P.R. China

ISBN: (纸本)9781509015740;9781509015733

In this paper, a load management is presented for autonomous multi-microgrids, who consist of multiple Renewable Energy Sources (RESs), energy storages and smart loads. In particular, a new energy mismatch balance and optimal distributed scheduling problem are formulated to achieve the supply-demand match in system-level. By coordinating with each other, the surplus renewable energy among multi-microgrids can be distributed to the corresponding microgrid who requests for extra supply for the loads. Moreover, the enhanced distributed model predictive control (DMPC) strategy is designed to guarantee the RESs efficiency and necessary demand response. Our simulation results demonstrate the effectiveness of our proposed method.

关键词： Multi-microgrids Load Management distributed model predictive control Renewable Energy Sources Demand Response

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User-preference-driven model predictive control of residential building loads and battery storage for demand response

User-preference-driven model predictive control of residenti...

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American control Conference

作者： Xin Jin Kyri Baker Steven Isley Dane Christensen National Renewable Energy Laboratory Golden CO 80401 USA

ISBN: (纸本)9781509045839

This paper presents a user-preference-driven home energy management system (HEMS) for demand response (DR) with residential building loads and battery storage. The HEMS is based on a multi-objective model predictive control algorithm, where the objectives include energy cost, thermal comfort, and carbon emission. A multi-criterion decision making method originating from social science is used to quickly determine user preferences based on a brief survey and derive the weights of different objectives used in the optimization process. Besides the residential appliances used in the traditional DR programs, a home battery system is integrated into the HEMS to improve the flexibility and reliability of the DR resources. Simulation studies have been performed on field data from a residential building stock data set. Appliance models and usage patterns were learned from the data to predict the DR resource availability. Results indicate the HEMS was able to provide a significant amount of load reduction with less than 20% prediction error in both heating and cooling cases.

关键词： Residential Building Loads Domestic architecture LOAD Demand-Responsive Secondary batteries Buildings DR Optimization Procedure model predictive control predictive control User preferences Social Sciences distributed model predictive control nonlinear model predictive control Error of prediction

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Event-triggered distributed MPC for constrained continuous-time nonlinear systems

Event-triggered distributed MPC for constrained continuous-t...

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第28届中国过程控制会议（CPCC 2017）暨纪念中国过程控制会议30周年

作者： Jimin Yu Zhen Shen Xiaoming Tang College of Automation Chongqing University of Posts and Telecommunications

The event-triggered strategy has been proven as an efficient tool to reduce computational burden while tackling optimization *** paper studies event-triggered dual-mode distributed MPC problems for constrained continuoustime nonlinear systems with communication *** scheme employs feedback linearization method to deal with nonlinear *** the novel event-triggered distributed MPC scheme is raised by combining an event-triggering condition with a robustness ***,a detailed analysis of the recursive feasibility of the strategy is carried *** is claimed that the recursive feasibility is relevant to bounded disturbances and appropriate prediction *** stability property is proved that it is also related to the event-triggering condition.

关键词： Nonlinear System distributed model predictive control Communication Delay Event-triggered

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model predictive control for moored ocean current turbines

Model predictive control for moored ocean current turbines

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American control Conference

作者： Tri D. Ngo Cornel Sultan James H. VanZwieten Nikolaos I. Xiros Ho Chi Minh City University of Technology Vietnam Virginia Tech Blacksburg 24061 USA Florida Atlantic University Boca Raton 33431 USA University of New Orleans LA 70148 USA

ISBN: (纸本)9781509045839

We investigate the feasibility of model predictive control (MPC) in ocean current turbine (OCT) control. A prediction model is obtained from a nonlinear model of a moored OCT via linearization. Three control inputs are assumed, the electromechanical torque applied to the rotor shaft and two blade pitch cyclic controls. The control problem contains is highly constrained, which prompts consideration of MPC. For MPC evaluation, comparisons with another constrained control technique, output variance constrained control, are included, as well as simulations of the linear and nonlinear OCT dynamics when the MPC strategy is applied.

关键词： model predictive control Maximum Allowable Concentration ocean currents predictive control turbines distributed model predictive control nonlinear model predictive control optical coherence tomography Prediction models Nonlinear models Standing Orders ROTOR SHAFT

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