August 2024
Intermediate to advanced
355 pages
11h 19m
English
Content preview from Zhang Time Discretization (ZTD) Formulas and Applications
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Chapter 3Future Matrix Inversion with Noises
Abstract
Inevitable noises and limited computational time are major issues for future matrix inversion (FMI) in practice. When designing an algorithm, it is highly demanded to suppress noises without violating the performance of real-time computation. However, most existing algorithms only consider a nominal system in the absence of noises and may suffer from a great computational error when noises are taken into account. Some other algorithms suppose that denoising has been conducted before computation, which may consume extra time and may not be suitable in practice. By considering the above situation, in this chapter, a discrete-time enhanced zeroing neural network ...
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