The significance of digital data systems for smart city policy
Sign Up to like & getrecommendations! Published in 2017 at "Socio-economic Planning Sciences"
DOI: 10.1016/j.seps.2016.10.001
Abstract: Our planet is gradually moving towards an urbanized world. Modern urban agglomerations tend to turn nowadays into advanced information hubs supporting a smart management of dynamic urban systems. The currently popular notion of ‘smart cities’… read more here.
Keywords: data systems; policy; information; city ... See more keywords
Improving Disaster Data Systems to Inform Disaster Risk Reduction and Resilience Building in Australia: A Comparison of Databases
Sign Up to like & getrecommendations! Published in 2021 at "Prehospital and Disaster Medicine"
DOI: 10.1017/s1049023x2100073x
Abstract: OBJECTIVE Disaster impact databases are important resources for informing research, policy, and decision making. Therefore, understanding the underpinning methodology of data collection used by the databases, how they differ, and quality indicators of the data… read more here.
Keywords: improving disaster; disaster data; resilience; inform disaster ... See more keywords
Business Process Analytics and Big Data Systems: A Roadmap to Bridge the Gap
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2881759
Abstract: Business processes represent a cornerstone to the operation of any enterprise. They are the operational means for such organizations to fulfill their goals. Nowadays, enterprises are able to gather massive amounts of event data. These… read more here.
Keywords: big data; data systems; business process; process analytics ... See more keywords
Novel Equalities for Stability Analysis of Asynchronous Sampled-Data Systems
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3026736
Abstract: This paper is concerned with the stability analysis problems of asynchronous sampled-data systems with use of a input-delay approach, where a sampled-data system can be reformulated into a time-delay system having incremental delays. For these… read more here.
Keywords: stability analysis; asynchronous sampled; sampled data; state ... See more keywords
Input-to-State Stability and Stabilization of Sampled-Data Systems Under Aperiodic Sampling and Random Sampling
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3058153
Abstract: In this article, input-to-state stability (ISS) and stabilization are examined for sampled-data systems under deterministic aperiodic sampling and random sampling, respectively. Using the direct design method, the sampled-data systems are transformed into switched systems with… read more here.
Keywords: sampled data; random sampling; sampling random; input state ... See more keywords
Further Results on Stability of Sampled-Data Systems Considering Time-Delay and Its Application to Electric Power Markets
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3277210
Abstract: This paper concentrates on analyzing the stability problems of aperiodic sampled-data systems with time delay. Based on Lyapunov theory, a new time-square-dependent two-side looped-functional (TTLF) is proposed, which can take full advantage of the second… read more here.
Keywords: time; time delay; data systems; stability ... See more keywords
Computing Safe Sets of Linear Sampled-Data Systems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2020.3002476
Abstract: Leveraging autonomous systems in safety-critical applications requires formal robustness guarantees against uncertainties. We address this issue by computing safe terminal sets with corresponding safety-preserving terminal controllers, which ensure robust constraint satisfaction for an infinite time… read more here.
Keywords: sets linear; computing safe; time; sampled data ... See more keywords
Stabilization of Sampled-data Systems with Noisy Sampling Intervals and Packet Dropouts via A Discrete-time Approach
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2021.3096925
Abstract: In real world applications, sampled-data systems are often subject to undesirable physical constraints, which results in noisy sampling intervals that fluctuate around an ideal sampling period based on certain probability distribution. In the presence of… read more here.
Keywords: data systems; stabilization; sampling intervals; discrete time ... See more keywords
An Explicit Reference Governor for Linear Sampled-Data Systems With Disturbance Inputs and Uncertain Time Delays
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2022.3140379
Abstract: In this article, we propose a novel reference governor (RG) scheme for prestabilized linear sampled-data systems to satisfy pointwise-in-time constraints in the presence of bounded disturbances and uncertain input and/or measurement delays. Based on an… read more here.
Keywords: time; reference; data systems; linear sampled ... See more keywords
Stability of Sampled-Data Systems With Packet Losses: A Nonuniform Sampling Interval Approach.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3194009
Abstract: In this article, inspired by the Halanay inequality, we study stability of sampled-data systems with packet losses by proposing a nonuniform sampling interval approach. First, a sampled-data controller with an exponential gain is put forward… read more here.
Keywords: packet losses; stability sampled; data systems; inequality ... See more keywords
A System Architecture for the Detection of Insider Attacks in Big Data Systems
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2017.2768533
Abstract: In big data systems, the infrastructure is such that large amounts of data are hosted away from the users. In such a system information security is considered as a major challenge. From a customer perspective,… read more here.
Keywords: big data; data systems; detection; system ... See more keywords