WP1
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.
WP2
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.
WP3
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.
WP4
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.
WP5
(no public deliverable)
WP6
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".