Titlebook: Evolutionary Learning Algorithms for Neural Adaptive Control; Dimitris C. Dracopoulos Textbook 1997 Springer-Verlag London Limited 1997 Ad

Conquest

STALE

The Attitude Control Problem,s be referred to as satellite or spacecraft, since the need for attitude control systems arises frequently in aerospace technology, but the underlying definitions and methods will be generally applicable to rigid bodies.

聯(lián)合

Current Neurocontrol Techniques,ex, noisy, nonlinear problems. The neural network approach is very attractive because of their ability to learn, to approximate functions, to classify patterns and because of their potential for massively parallel hardware implementation.

盲信者

Gossamer

Dynamic Systems and Control,n of change. It refers to the unfolding of events in a continuing evolutionary process. Examples from the daily life include home heating systems, the development of the economy, and population growth.

音的強(qiáng)弱

Exuberance

全部

本能

William M. Adams,John F. Jardinen of change. It refers to the unfolding of events in a continuing evolutionary process. Examples from the daily life include home heating systems, the development of the economy, and population growth.

SPER

https://doi.org/10.1007/978-3-658-11605-7d to meet the necessities of survival. From sense data to action, flight or the capture of prey, there is a gap that was bridged by the evolution of adaptive control systems based on circuits of simple neural components. A vital computational characteristic of such neural circuitry is the ability to model non-linear dynamic systems.