Neural Systems for Control

Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems directly applicable to control or making use of modern control theory. The book covers such important new developments in control systems such as intelligent sensors in semiconductor wafer manufacturing; the relation between muscles and cerebral neurons in speech recognition; online compensation of reconfigurable control for spacecraft aircraft and other systems; applications to rolling mills, robotics and process control; the usage of past output data to identify nonlinear systems by neural networks; neural approximate optimal control; model-free nonlinear control; and neural control based on a regulation of physiological investigation/blood pressure control. All researchers and students dealing with control systems will find the fascinating Neural Systems for Control of immense interest and assistance. Key Features\* Focuses on research in natural and artifical neural systems directly applicable to contol or making use of modern control theory\* Represents the most up-to-date developments in this rapidly growing application area of neural networks\* Takes a new and novel approach to system identification and synthesis Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems directly applicable to control or making use of modern control theory. The book covers such important new developments in control systems such as intelligent sensors in semiconductor wafer manufacturing; the relation between muscles and cerebral neurons in speech recognition; online compensation of reconfigurable control for spacecraft aircraft and other systems; applications to rolling mills, robotics and process control; the usage of past output data to identify nonlinear systems by neural networks; neural approximate optimal control; model-free nonlinear control; and neural control based on a regulation of physiological investigation/blood pressure control. All researchers and students dealing with control systems will find the fascinating Neural Systems for Control of immense interest and assistance.

Key Features
* Focuses on research in natural and artifical neural systems directly applicable to contol or making use of modern control theory
* Represents the most up-to-date developments in this rapidly growing application area of neural networks
* Takes a new and novel approach to system identification and synthesis The book doesn't cover much of Process Control applications of Neural Networks, which is my main area of interest, but is a good source of information if you want to learn about Neural Networks. The book focuses on research in natural and artificial neural systems directly applicable to control or making use of modern control theory. Only chapter 9 shows an industrial application: "Approximation of time-optimal control for an industrial production plant with general regression neural network". Here the authors show simulation results for a general regression neural network application for time-optimal control of industrial plants (like in the paper, plastic, textile, and metal industry) that are characterized by a continuous moving web of material passing between rollers. The scheme is use to make the web control forces smooth (the electrical and mechanical quantities of the web drivers,, e.g., currents, torques, web speeds, web forces) and provide fast response. Focuses on research in natural and artificial neural systems directly applicable to control or making use of modern control theory. This book covers such developments in control systems such as intelligent sensors in semiconductor wafer manufacturing, the relation between muscles and cerebral neurons in speech recognition, and more.