@article{DashkovskiySlynko2022,
  author    = {Dashkovskiy, Sergey and Slynko, Vitalii},
  title     = {Stability conditions for impulsive dynamical systems},
  series = {Mathematics of Control, Signals, and Systems},
  volume    = {34},
  journal   = {Mathematics of Control, Signals, and Systems},
  number    = {1},
  issn      = {1435-568X},
  doi       = {10.1007/s00498-021-00305-y},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-268390},
  pages     = {95-128},
  year      = {2022},
  abstract  = {In this work, we consider impulsive dynamical systems evolving on an infinite-dimensional space and subjected to external perturbations. We look for stability conditions that guarantee the input-to-state stability for such systems. Our new dwell-time conditions allow the situation, where both continuous and discrete dynamics can be unstable simultaneously. Lyapunov like methods are developed for this purpose. Illustrative finite and infinite dimensional examples are provided to demonstrate the application of the main results. These examples cannot be treated by any other published approach and demonstrate the effectiveness of our results.},
  language  = {en}
}
@article{ClassenEardleyHempetal.2020,
  author    = {Classen, Alice and Eardley, Connal D. and Hemp, Andreas and Peters, Marcell K. and Peters, Ralph S. and Ssymank, Axel and Steffan-Dewenter, Ingolf},
  title     = {Specialization of plant-pollinator interactions increases with temperature at Mt. Kilimanjaro},
  series = {Ecology and Evolution},
  volume    = {10},
  journal   = {Ecology and Evolution},
  number    = {4},
  doi       = {10.1002/ece3.6056},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-235959},
  pages     = {2182-2195},
  year      = {2020},
  abstract  = {Aim: Species differ in their degree of specialization when interacting with other species, with significant consequences for the function and robustness of ecosystems. In order to better estimate such consequences, we need to improve our understanding of the spatial patterns and drivers of specialization in interaction networks. Methods: Here, we used the extensive environmental gradient of Mt. Kilimanjaro (Tanzania, East Africa) to study patterns and drivers of specialization, and robustness of plant-pollinator interactions against simulated species extinction with standardized sampling methods. We studied specialization, network robustness and other network indices of 67 quantitative plant-pollinator networks consisting of 268 observational hours and 4,380 plant-pollinator interactions along a 3.4 km elevational gradient. Using path analysis, we tested whether resource availability, pollinator richness, visitation rates, temperature, and/or area explain average specialization in pollinator communities. We further linked pollinator specialization to different pollinator taxa, and species traits, that is, proboscis length, body size, and species elevational ranges. Results: We found that specialization decreased with increasing elevation at different levels of biological organization. Among all variables, mean annual temperature was the best predictor of average specialization in pollinator communities. Specialization differed between pollinator taxa, but was not related to pollinator traits. Network robustness against simulated species extinctions of both plants and pollinators was lowest in the most specialized interaction networks, that is, in the lowlands. Conclusions: Our study uncovers patterns in plant-pollinator specialization along elevational gradients. Mean annual temperature was closely linked to pollinator specialization. Energetic constraints, caused by short activity timeframes in cold highlands, may force ectothermic species to broaden their dietary spectrum. Alternatively or in addition, accelerated evolutionary rates might facilitate the establishment of specialization under warm climates. Despite the mechanisms behind the patterns have yet to be fully resolved, our data suggest that temperature shifts in the course of climate change may destabilize pollination networks by affecting network architecture.},
  language  = {en}
}
@article{AliMontenegro2016,
  author    = {Ali, Qasim and Montenegro, Sergio},
  title     = {Explicit Model Following Distributed Control Scheme for Formation Flying of Mini UAVs},
  series = {IEEE Access},
  volume    = {4},
  journal   = {IEEE Access},
  number    = {397-406},
  doi       = {10.1109/ACCESS.2016.2517203},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-146061},
  year      = {2016},
  abstract  = {A centralized heterogeneous formation flight position control scheme has been formulated using an explicit model following design, based on a Linear Quadratic Regulator Proportional Integral (LQR PI) controller. The leader quadcopter is a stable reference model with desired dynamics whose output is perfectly tracked by the two wingmen quadcopters. The leader itself is controlled through the pole placement control method with desired stability characteristics, while the two followers are controlled through a robust and adaptive LQR PI control method. Selected 3-D formation geometry and static stability are maintained under a number of possible perturbations. With this control scheme, formation geometry may also be switched to any arbitrary shape during flight, provided a suitable collision avoidance mechanism is incorporated. In case of communication loss between the leader and any of the followers, the other follower provides the data, received from the leader, to the affected follower. The stability of the closed-loop system has been analyzed using singular values. The proposed approach for the tightly coupled formation flight of mini unmanned aerial vehicles has been validated with the help of extensive simulations using MATLAB/Simulink, which provided promising results.},
  language  = {en}
}