In this paper, we present, develop and investigate a special kind of recurrent neural network
termed Zhang neural network (ZNN) for time-varying matrix inversion. Comparing with the …

Inevitable noises and limited computational time are major issues for time-variant matrix
inversion in practice. When designing a time-variant matrix inversion algorithm, it is highly …

We show how to obtain polar decomposition as well as inversion of fixed and time-varying
matrices using a class of nonlinear continuous-time dynamical systems. First we construct a …

The development of a motorcycle driver for virtual prototyping applications is discussed. The
driver is delivered with a commercial multibody code as a tool for performing closed-loop …

We consider the problem of estimating the time-varying root of a time-dependent nonlinear
map. We introduce a" dynamic inverse" of a map, another generally time-dependent map …

In this chapter, the ZD approach is further extended and exploited for time-varying matrix
inversion in complex domain. Specifically, focusing on time-varying complex matrix …

A new nonlinear activation function is formulated to minimize the time taken to converge to
the solution of the complex-valued time-varying problems such as matrix inversion, linear …

In this chapter, focusing on time-varying matrix inversion, we propose, generalize, develop,
and investigate different ZFs that lead to different ZD models. Meanwhile, a specific …

In this chapter, focusing on time-varying matrix left pseudoinversion, we propose,
generalize, develop, and investigate five different ZD models by introducing five different …

In Chap. 8, different ZD models based on ZFs have been presented for time-varying matrix
left pseudoinversion. Being another case study of pseudoinverse for a time-varying …