A5063915731- Distributed Control Multi-Agent Systems
- Stability and Control of Uncertain Systems
- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
- Adaptive Control of Nonlinear Systems
- Vibration Control and Rheological Fluids
- Gene Regulatory Network Analysis
- Stability and Controllability of Differential Equations
- Material Properties and Applications
- Target Tracking and Data Fusion in Sensor Networks
- Energy Efficient Wireless Sensor Networks
- Structural Health Monitoring Techniques
- Distributed Sensor Networks and Detection Algorithms
- Aeroelasticity and Vibration Control
Atlas Copco (Belgium)
2022
Czech Technical University in Prague
2016-2019
Siemens (Belgium)
2016-2019
KU Leuven
2016-2019
VIB-KU Leuven Center for Microbiology
2017
This paper tackles networked distributed observer and controller design problem over directed graph topology for spatially interconnected systems. Traditional centralized methods suffer from a lack of adaptability to variations incurred by network reconfiguration, communication failures, redundant sensors integration. In this paper, handle the foregoing limitations imposed design, state observers are designed in manner facilitated pinning control precepts. On one hand, novel approach adds...
This note proposes a novel decentralized/decomp- osed design of distributed observers for general continuous-time linear time invariant systems. Each observer can only observe portion the system. By transforming system to real Jordan canonical form, an observability decomposition is performed based on Popov–Belevitch–Hautus test. reconstructs observable states from its local measurements. The unobservable are reconstructed relying communication network, by virtue synchronizing region in...
This paper aims to bridge the gap between control engineering and vibration engineering. We developed three distributed schemes over directed communication graph topology, specifically for reduction of flexible structures. Under schemes, vibrations are attenuated through agents consisting observers controllers. Compared traditional methods, approaches can reduce overhead computational complexity when a large number actuators sensors deployed. Moreover, two enjoy flexibility in...
This paper tackles the networked distributed observer and controller design problem. The observers are designed in a fashion. computation effort due to high dimension of whole system is then mitigated. controllers using linear quadratic regulation theory. A sufficient condition guarantee stability closed-loop derived. conservative matrix norm bound for provided as well. Numerical simulation given verify procedure.
This paper studies the distributed filtering of noisy measurements one scalar quantity. The considered network is composed two sets nodes: sensing nodes which perform measuring task and non-sensing mediate between nodes. Inspired by Bayesian sensor fusion, three consensus-based algorithms are proposed. In algorithms, graph edge weights in effect determined based on variances all sensors. Evolution dynamics expected values covariances state estimates throughout analyzed. Numerical simulations...
Centralized controllers and state estimation strategies are the most common topology implemented for disturbance rejection in smart systems. Although this architecture has been proven to be feasible advances computation power size of logic devices can also enable implementation decentralized which, on a large scale, lead an overall reliability increase system. The goal paper is present concept within field systems explore its capabilities bottlenecks. A simple example carried out composite...