Gildson Queiroz de Jesus
Papers
1
Total Citations
9
H-Index
1
About
Gildson Queiroz de Jesus is a researcher specializing in control theory and stochastic systems, with a particular focus on discrete-time Markovian jump linear systems (MJLS) and robust filtering. His work addresses critical challenges in estimating states and filtering information for systems that experience abrupt changes in dynamics due to parametric uncertainties—a common issue in engineering applications like networked control and fault-tolerant systems. His most-cited paper, "Information filtering and array algorithms for discrete-time Markovian jump linear systems subject to parametric uncertainties" (2016), has garnered 9 citations, reflecting its niche but impactful contribution to developing computationally efficient algorithms for robust state estimation. By proposing array-based filtering techniques, de Jesus has advanced the practical implementation of MJLS theory, enabling more reliable performance under uncertain conditions. While his citation count is modest, his work is valued by specialists in stochastic control for its rigorous mathematical foundation and potential to improve system resilience. His research bridges theoretical gaps and real-world engineering needs, marking him as a dedicated contributor to the field of uncertain dynamic systems.
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- 1