Systems and Control Laboratory

1. Systems and Control Laboratory head Prof. József Bokor member of the Hungarian Academy of Sciences

2. Development Research • Measurement • Data acquisition • Signal processing • Failure detection • System testing • Control design • System science • Identification • Control theory • Signal theory • Change detection

3. General methods of describing and analyzing nonlinear systems Special nonlinear system models: bilinear, affine, linear parameter varying (LPV) Applications in system identification, change detection, and control Systems theory Beyond linear systems …

4. Linear theory: elaboration of robust control Nonlinear control theory Special nonlinear control problems: LPV control Multi-agent cooperative control Hybrid control systems, switching control Fault tolerant, reconfigurable control Control theory

5. Process modeling and control • Modeling based on first engineering principles(model reduction, minimal models) • Multi-scale modeling of complex systems • Model analysis (stability, controllability) • Model calibration and validation (identification) • Special nonlinear systems: - Quasi-polynomial and reaction kinetic systems - Quantum systems - Medical systems (bio-mechanical) • Model-based diagnosis of discrete event and hybrid systems

6. Signal theory • Nonstandard signal representations • Orthogonal rational bases, rational wavelets • Building a priori knowledge in the signal representations • Applications in change and object detection, system identification • Applications to 2-dimensional signals – images

7. Educational activities Collaboration of SZTAKI-SCL with the Faculty of Transportation Engineering Budapest University of Technology and Economics • Lecture on Control Systems (J. Bokor, P. Gáspár) • Road Traffic Automation (I. Varga) • On-board Automatic Control Systems (A. Soumelidis) Teaching activities Supporting education • UAV and Embedded Control Lab • Involving students in R&D activities • Consulting thesis works

8. PAKS Application fields • Industrial control – Power systems – Nuclear Power Plants • Vehicles, vehicle systems, transportation control • Biomedical signal processing and control

9. Fault tolerant and reconfigurable design Verification and validation of the control system design and realization Safety and reliability analysis Test system design and realization Failure detection and diagnosis PAKS Digital Control Systems Application: Refurbishment of the Reactor Protection System in Nuclear Power Plant Paks

10. Unified Test System (UTS)

11. PWR – Pressurizer Control Pressurizer: prevents the water from boiling by keeping a pre-defined pressure 2 % power increase in 3 blocks Minimal physical modelLQ type controller with inversion

12. PressurizerControlImplementation PWR Primary Loop Pressurizer Power Switches A distributed control scheme Sensors Network Network Network Network Actuator PLC Control PLC

13. PWR – Primary Circuit • Coordination of the controllers (power, pressure, level) • Verification of safety procedures (PRISE) Physical model

14. PWR – Primary Circuit MPC controller Identification Water Steam generator Reactor

15. Advanced Vehicles and Vehicle Control (AVVC) Knowledge Center • the research and development of integrated vehicle control, • control of traffic systems by communication networks, and • fault tolerant system architectures.

16. Innovation of distributed driverassistance systems for a commercial vehicles platform

17. Vehicle control systems • Positioning and navigation • Tracking control • Improving tracking stability • Lane and obstacle detection, avoiding unintended lane departure and collision • Special control problems: active suspension, power-train stability control • Cooperative vehicle control • Unmanned vehicles

18. Ride stability (rollover and yaw stability, road holding, safety, efficiency) Comfort (passenger comfort, suspension system) Vehicle control

19. Stability and performance criteria – road holding, passenger comfort LQ, H2, H, LPV control Without an active suspension system With an active suspension system Suspension system Testbed

20. Path definition Control design for tracking a path Performances Tracking a predefined path

21. Prevention of an unintended lane departure • Camera-based lane detection • Prediction of vehicle dynamics • Unilateral braking

22. The vehicle system includes active components. The aim of the control design is to combine and supervise all the controllable subsystems to ensure the management of resources. Integrated vehicle control

23. Cooperative Vehicle Control Controlling vehicle groups is not identical to multiple individual controls… COOPERATIVE CONTROL An important subfield of control science

24. Robust LPV Gain Scheduling Techniques for SpaceApplications

25. Advanced Fault Diagnosis for Safer Flight Guidance and Control • Deimos Space S.L. DEIMOS Spain • AIRBUS France S.A.S AIRBUS France • Deutsches Zentrum für Luftund Raumfahrt E.V. DLR Germany • University of Hull UHULL United Kingdom • University of Leicester ULEIC United Kingdom • Centre National de la Recherche Scientifique CNRS-IMS France • Technische Universiteit Delft UDELFT The Netherlands

26. Hierarchical communication-based distributed control Wide-range communication Short-range communication Control Center Design technologies: • Control Over Network • Software Enabled Control (SEC) Global board control Local vehicle control

27. Distributed control Self-dependent control agents – embedded systems Conventional and wireless networks Control over Network • IEEE802.11 – WLAN, WiFi • IEEE802.15.4 – Personal Area Networks (PANs) • IEEE802.16 – WiMAX • Ultra Wide Band (UWB) solutions • CAN and its successors • Time-critical and fault-tolerant solutions • FlexRay • Formal design and analysis tools • Analyzing the influence of networks in the stability and the quality of control • Control network architectures, protocols, routing schemes • Reliability, failure tolerance, reconfigurability

28. Synchronization Guaranteed responsetime Communication Reconfigurability Software technology Reliable realization Automatic code generation Reusability Human driver Maneuverability Conven-tionalcontrol Vehiclecapabilities Velocity SEC Software Enabled Control (SEC) Requirements: Vehicle control

29. Board electronics – embedded computing, embedded control • HW realization platforms • Microcontrollers • Digital signal processors • Embedded computers • SW platforms and tools • Embedded operational systems • Real-time environments • Development tools for cooperating control • Embedded peripherals • Sensors, “smart sensors” • Communication devices • Network elements • I/O peripherals

30. Vehicle model laboratory Autonomous vehicle (UAV) models: cars, planes, helicopters Model experiments: individual and cooperative control

31. Modeling of optical surfaces Camera-based measurements Image-processing Reconstruction of the 3D surface Biomedical diagnostics: cornea topography Goals: • Accurate surface and refractive power measurement • Supporting refractive eye-surgery

32. Thank You for YourAttention!