Books in the Control and Dynamic Systems series

Emphasizes neural network structures for achieving practical and effective systems, and provides many examples. This book covers the important topics of: highly effective Orthogonal Activation Function Based Neural Network System Architecture and multi-layer recurrent neural networks for synthesizing and implementing real-time linear control.

Examining digital control systems, this work focuses on implementation and computational techniques. Among the topics discussed are hold functions for digital control systems and techniques in deadbeat and one-step-ahead control.

Discusses such topics as: the foundations of nearfield acoustic holography in terms of direct and inverse diffraction; detection algorithms for underwater acoustic transients; and constrained and adaptive ARMA modelling as an alternative to the DFT - with application to MRI.

Covers recent advances in the field of optimal control theory.

This volume on discrete-time control systems is aimed at electrical engineers in digital signal processing. It covers recent advances in the field of modern control theory.

This volume covers recent advances in the field of control theory and is designed for electrical engineers in digital signal processing.

Covering the area of stochastic digital control system techniques, this volume discusses such topics as: algorithmic techniques in estimation and control for multivariate sampled digital control systems, and techniques in computational stochastic dynamic programming.

These papers cover the recent advances in the field of control theory and are designed for electrical engineers in digital signal processing.

Part of a series reviewing the latest developments in control and dynamic systems, this volume looks at multidimensional systems signal processing and modelling techniques. Topics covered include: multidimensional inverse problems in ultrasound imaging and a model of auditory perception.