Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Tyler H. Summers"'
Publikováno v:
IEEE Transactions on Control Systems Technology. 30:803-810
Publikováno v:
IEEE Transactions on Control Systems Technology. 30:71-84
Publikováno v:
IEEE Control Systems Letters. 6:211-216
The identification of anomalies is a critical component of operating complex, and possibly large-scale and geo-graphically distributed cyber-physical systems. While designing anomaly detectors, it is common to assume Gaussian noise models to maintain
Publikováno v:
IEEE Transactions on Control of Network Systems. 8:1754-1766
Publikováno v:
IEEE Transactions on Robotics. 37:185-205
In this article, we present a distributed formation control strategy for agents with a variety of dynamics to achieve a desired planar formation. Our approach is based on the barycentric-coordinate-based (BCB) control, which is fully distributed, doe
Publikováno v:
IEEE Control Systems Letters. 5:307-312
Robustness is a key challenge in the integration of learning and control. In machine learning and robotics, two common approaches to promote robustness are adversarial training and domain randomization. Both of these approaches have analogs in contro
Motivated by the recent interest in risk-aware control, we study a continuous-time control synthesis problem to bound the risk that a stochastic linear system violates a given specification. We use risk signal temporal logic as a specification formal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ffbb9a7ef0e1fad103c3980f95a4e08
http://arxiv.org/abs/2204.04310
http://arxiv.org/abs/2204.04310
Publikováno v:
IEEE Transactions on Automatic Control, 66 (12)
Actuator placement is an active field of research, which has received significant attention for its applications in complex dynamical networks. In this article, we study the problem of finding a set of actuator placements minimizing the metric that m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::392b76198fc1027aac6ee4775d7f4237
https://hdl.handle.net/20.500.11850/461440
https://hdl.handle.net/20.500.11850/461440
Publikováno v:
CPSIOTSEC@CCS
Autonomous Vehicles (AVs), also known as self-driving cars, are becoming more prevalent in our daily lives. AVs rely on sensor information to evaluate their environment and make crucial decisions in real-time, however, new attacks can create false se
Autor:
Yi Guo, Tyler H. Summers
Publikováno v:
IFAC-PapersOnLine. 53:16617-16623
We present a computationally efficient framework to solve a multi-stage optimal water flow (OWF) problem with stochastic water demands. The proposed framework explicitly considers the feedback control policies and adjustable water flow with forecast