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- W4321484927 abstract "This paper is motivated by a class of positive systems with an input that is subject to an unknown state-dependent power law delay as well as saturation. For example, biological networks have non-negative protein concentration states. Mass action kinetics in these systems result in power law behavior, while complex interactions cause signal propagation delays. Incomplete network characterization makes delay state-dependence unknown. Manipulating network activity via modulated protein concentrations to attain desired performance is restricted by upper-bounds on concentration actuator authority. Here, an innovative control law exploits system dynamics to compensate for control domain restrictions. A Lyapunov stability analysis establishes that the reference tracking error of the closed-loop system is uniformly ultimately bounded. Numerical simulations on a human coagulation model show controller efficacy and better performance compared to the relevant literature. This example application steps toward personalized, closed-loop treatments for trauma coagulopathy, which currently has 30% mortality with open-loop clinical approaches." @default.
- W4321484927 created "2023-02-23" @default.
- W4321484927 creator A5035055287 @default.
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- W4321484927 date "2023-05-01" @default.
- W4321484927 modified "2023-10-18" @default.
- W4321484927 title "Control of positive systems with an unknown state-dependent power law input delay and input saturation" @default.
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- W4321484927 doi "https://doi.org/10.1016/j.automatica.2023.110853" @default.
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