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- W4296211546 abstract "To resolve the time-varying convex optimization problems with the cost function, the constraints or both being time dependent, in this brief we investigate a novel type of fixed-time algorithms. First, with the unconstrained time-varying optimization problem considered, a general framework algorithm is developed for tracking its optimal trajectory within fixed time, which contains the gradient flow-based scheme and Newton-type method as its special cases. Then, considering the equality constraint being involved in the time-varying optimization problem, we design another algorithm with fixed-time convergence, which includes Newton-type scheme as its special case. To verify that the given approach achieves fixed-time convergence, the simulation result is given with first-order Euler discretization." @default.
- W4296211546 created "2022-09-18" @default.
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- W4296211546 date "2023-02-01" @default.
- W4296211546 modified "2023-10-17" @default.
- W4296211546 title "Fixed-Time Algorithms for Time-Varying Convex Optimization" @default.
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- W4296211546 doi "https://doi.org/10.1109/tcsii.2022.3207278" @default.
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