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Research is on mathematical foundations for complex networks with applications in biology, technology, medicine, ecology, neuroscience, and multiscale physics that integrates theory from control, computation, communication, optimization, statistics (e.g. Machine Learning). An emphasis on universal laws and architectures, robustness/efficiency and speed/accuracy tradeoffs, adaptability, and evolvability and large scale systems. Control with sparse, local, delayed, saturating, quantized, uncertain sensing, communications, computing, and actuation using System Level Synthesis. Early work was on robustness of feedback control systems with applications to aerospace and process control. His students and research group developed software packages like the Matlab Robust Control Toolbox and the Systems Biology Markup Language (SBML).
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CoRR (2023): 111197-111197
2023 AMERICAN CONTROL CONFERENCE, ACCpp.1189-1194, (2023)
CDCpp.2367-2372, (2022)
arxiv(2022)
Research Square (Research Square) (2022)
Proceedings of the 3rd International Conference of Control, Dynamic Systems, and Robotics (CDSR'16) (2022)
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