Public Deliverables   


D1.5. Final report (M36)
Final public summary report covering results, conclusions and socio-economic impact of the project, the wider societal implications of the project, including efforts to involve other actors and spread awareness as well as the plan for the use and dissemination of foreground.


D2.1 Loss and latency models for wide area sensor networks (M24).
Report reviewing control-relevant models for loss and latency characteristics of wireless links validated against real data. This includes both models for losses and latencies in wide area systems with relatively long sample intervals such as the water distribution demo as well as models for denser systems with higher data rate requirements. An important component will be detailed suggestions for adequate network models for the design of network-aware controllers in WP4 applicable to the water distribution demo.

D2.2 Simulation tool for networked control systems (M18)
Report describing an ad-hoc MATLAB/Simulink library for statistical delay/loss models for real-world networked control systems, and a real-time data acquisition system in MATLAB from wireless nodes.

D2.3 Mechanisms for ultra-reliable short-range wireless networks (M22)
Report isolating reliability bottlenecks of industrial wireless standards, proposals for alleviating these and, when applicable, arguments for why specific technologies are insufficient for the requirements of the water distribution network.

D2.5 Protocols and distributed processing for state estimation and monitoring (M34)
Report describing efficient protocols for implementing the estimation, control and alarm-handling algorithms developed in other work packages.


D3.1 Methodologies for identification and model management of large-scale systems  (M22)
Report on system identification and model management including unified model representation to be used across WIDE, techniques and concepts for managing large-scale models allowing scaling, networking, uncertainty management, extraction of models of various scale and resolution, developed identification techniques for large-scale systems suitable for use in distributed MPC, design of experiment (input excitation) will be included as an important part that affects the fidelity of the problem and cost of model acquisition.

D3.2 Decentralized and distributed MPC and estimation algorithms (M24)
Report of novel algorithms for distributed cooperating networks of MPCs, including concept and functional specifications. Robustness, scalability, structural changes (upon request from higher decision layer) must be admissible; Multiple coordination/cooperation strategies for different classes of application areas are considered. Performance evaluation of distributed MPC vs. centralized MPC will be validated on a benchmark problem that will be defined in D3.1. Distributed estimation algorithms for large-scale systems. Methodology for estimating states/parameters by a network of cooperating estimators, with a limited data exchange among them.

D3.3 Algorithms for higher-level real-time optimization and their cooperation with decentralized/distributed MPC layer (M30)
Report on a high-level optimization of a large-scale system controlled by distributed MPC on the lower layer; including hybrid, nonlinear models and failure recovery features. Consistency of models in both layers to be guaranteed by model management capability developed in D3,1.

D3.5 Prototype design tools in MATLAB™ for distributed multilayer optimization, control and estimation (M34)
Prototypes of selected algorithms with user documentations and demos as a MATLAB™ Toolbox. The documentation must be in the form sufficient for transfer to the SW development teams.


D4.1 Analysis methods for networked control systems (M12).
Report describing suitable techniques that can analyze stability, robustness, performance, and resource usage of networked control systems based on WSN feedback.

D4.2 Synthesis methods for decentralized control and estimation algorithms using WSN (M24).
Report describing the developed design methods for net-aware centralized (MPC) controllers and estimators, with the integrated distributed MPC and estimation algorithms of WP3 and the result of the benchmark example. Robustness with respect to network unreliability in the form of uncertain communication channels and aspects of reduction of the usage of network resources (e.g. battery energy) will be taken into account.

D4.3 Collection of prototype design tools in MATLAB™ for control and estimation with WSN in the loop (M36)
Prototype toolbox contain suitable MATLAB-based functions for performing computations related to the synthesis of distributed net-aware MPC controllers and estimators. The DFS document for implementation of selected algorithms of MPC over WSN is intended for the use in the water network test case. Validation of toolbox functionality on the simulation benchmark problem.


(no public deliverable)


D6.1 Project presentation (M3)
Fact sheet of the project, presentation of the main planned activities and goals.

D6.2 WIDE PhD School on Networked Control Systems (M12)
Report of the PhD School: student attendance, didactical contents and impact, social events.

D6.3 Organization of invited sessions (M36)
Report on invited sessions organized or co-organized by WIDE beneficiaries at major international control conferences.

D6.4 End-user feedback (M36)
Feedback of end-user panel on the results of the project (design methodologies, tools, demonstration).

D6.5 Requirements for industrial wireless standards (M36)
Definition of requirements for industrial wireless standards based on the technical and experimental developments of the project.

D6.6 WIDE Final Workshop (M36)
Final workshop presenting the results of the project to the scientific and industrial communities.

D6.7 Handbook on Networked Control Systems  (M24)
Handbook containing lecture material from the PhD School, published by Springer series on "Lecture notes on control and information sciences".



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