High-Level Feedback Control with Neural Networks

By: Young Ho Kim, Frank L. Lewis

Write A Review

Hardcover | 1 December 1997

At a Glance

Hardcover
228 Pages

Dimensions(cm)
22.86 x 16.51 x 1.91

Hardcover

RRP $183.99

$165.75

10%OFF

or 4 interest-free payments of $41.44 with

Ships in 15 to 25 business days

Complex industrial or robotic systems with uncertainty and disturbances are difficult to control. As system uncertainty or performance requirements increase, it becomes necessary to augment traditional feedback controllers with additional feedback loops that effectively "add intelligence" to the system. Some theories of artificial intelligence (AI) are now showing how complex machine systems should mimic human cognitive and biological processes to improve their capabilities for dealing with uncertainty.

This book bridges the gap between feedback control and AI. It provides design techniques for "high-level" neural-network feedback-control topologies that contain servo-level feedback-control loops as well as AI decision and training at the higher levels. Several advanced feedback topologies containing neural networks are presented, including "dynamic output feedback", "reinforcement learning" and "optimal design", as well as a "fuzzy-logic reinforcement" controller. The control topologies areintuitive, yet are derived using sound mathematical principles where proofs of stability are given so that closed-loop performance can be relied upon in using these control systems. Computer-simulation examples are given to illustrate the performance.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Neural Networks & Fuzzy Systems Engineering & Technology Electronics & Communications Engineering Electronics Engineering Automatic Control Engineering Computer Networking & Communications Energy Technology & Engineering Electrical Engineering

Systems Analysis & Design Booktopia Publisher Services World Scientific Publishing

Preface
Introduction
Background
Multiple Manipulators Control using Neural Networks
Neural Network output Feedback Control of Robot Manipulators
Nonlinear Observer using Dynamic Recurrent Neural Networks
Direct Reinforcement Learning Control of Nonlinear Systems
Direct Reinforcement Fuzzy Control of Nonlinear Systems
Neural Friction Compensation for High Performance
Intelligent Optimal Control of Robot Manipulators
Conclusion and Future Research
Optimal Control Law and Critic Gain Derivation
Multi-Layer Neural Network Weight Initialization
Code for Simulation of Intelligent Controllers
Bibliography
Index
Table of Contents provided by Blackwell. All Rights Reserved.

High-Level Feedback Control with Neural Networks

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

More in Systems Analysis & Design

Micro- and Nanocomposites

A Tribological Viewpoint

Effective Modern C++

42 Specific Ways to Improve Your Use of C++11 And C++14

Fundamentals of Software Architecture

A Modern Engineering Approach

Site Reliability Engineering

How Google Runs Production Systems

DAMA-DMBOK

Data Management Body of Knowledge

Systems Analysis and Design

12th edition

The Software Architect Elevator

Redefining the Architect's Role in the Digital Enterprise

Software Architecture: The Hard Parts

Modern Trade-Off Analyses for Distributed Architectures

Algorithms in C, Parts 1-4

3rd Edition - Fundamentals, Data Structures, Sorting, Searching

Artificial Intelligence for HR

Use AI to Support and Develop a Successful Workforce

Business Driven Information Systems ISE

9th Edition

Head First Software Architecture

A Learner's Guide to Architectural Thinking

Domain-Driven Transformation

Modernize Legacy Systems and Mitigate Risk

Generative AI for Cybersecurity

Fundamentals, Applications, Risks, and Opportunities

Cloud Native Application Protection Platforms

A Guide to CNAPPs and the Foundations of Comprehensive Cloud Security

Rust Atomics and Locks

Low-Level Concurrency in Practice

Learning Systems Thinking

Essential Non-Linear Skills and Practices for Software Professionals

Raspberry Pi Cookbook, 4E

Software and Hardware Problems and Solutions

Mastering API Architecture

Defining, Connecting, and Securing Distributed Systems and Microservices

Fundamentals of Software Engineering

From Coder to Engineer

Technology Strategy Patterns

Analyzing and Communicating Architectural Decisions

Data Mesh

Delivering Data-Driven Value at Scale

Digital Technologies for Wind Turbine Control and Integration

Advances in Digital Technologies for Smart Applications

Application of Computational Techniques in Power Systems for Power Quality Improvement

Knowledge-based Engineering for Innovation

This product is categorised by