Intelligent Control Systems with an Introduction to System of Systems Engineering

ISBN-13: 9781420079241 / Angielski / Twarda / 2009 / 441 str.

Thrishantha Nanayakkara;Mo Jamshidi;Ferat Sahin

Opis

From aeronautics and manufacturing to healthcare and disaster management, systems engineering (SE) now focuses on designing applications that ensure performance optimization, robustness, and reliability while combining an emerging group of heterogeneous systems to realize a common goal.
Use SoS to Revolutionize Management of Large Organizations, Factories, and Systems
Intelligent Control Systems with an Introduction to System of Systems Engineering integrates the fundamentals of artificial intelligence and systems control in a framework applicable to both simple dynamic systems and large-scale system of systems (SoS). For decades, NASA has used SoS methods, and major manufacturers including Boeing, Lockheed-Martin, Northrop-Grumman, Raytheon, BAE Systems now make large-scale systems integration and SoS a key part of their business strategies, dedicating entire business units to this remarkably efficient approach.
Simulate Novel Robotic Systems and Applications
Transcending theory, this book offers a complete and practical review of SoS and some of its fascinating applications, including:

• Manipulation of robots through neural-based network control
• Use of robotic swarms, based on ant colonies, to detect mines
• Other novel systems in which intelligent robots, trained animals, and humans cooperate to achieve humanitarian objectives

Training engineers to integrate traditional systems control theory with soft computing techniques further nourishes emerging SoS technology. With this in mind, the authors address the fundamental precepts at the core of SoS, which uses human heuristics to model complex systems, providing a scientific rationale for integrating independent, complex systems into a single coordinated, stabilized, and optimized one. They provide readers with MATLAB^(r) code, which can be downloaded from the publisher's website to simulate presented results and projects that offer practical, hands-on experience using concepts discussed throughout the book."

This is the first book that integrates the fundamentals of artificial intelligence and systems control in a framework that can be applied not only in simple dynamic systems, but also in a large scale system of systems that can include aviation, defense, and distributed manufacturing systems.

• Learn, test, and simulate some of the most important theories used in modern systems engineering
• Discover opportunities in an emerging field that will revolutionize the way large organizations, factories, and man-made systems are managed

The book walks the reader through a discussion that starts from the fundamental laws applicable to the dynamic behavior of a single degree of freedom system to those higher order systems needed to highlight the utility and limitations of traditional systems control theory.

It also gives exposure to signals and Kalman filters in order to train the reader to use some of the powerful concepts in state observation to deal with noisy signals that may connect a system to another system. The book provides an in-depth discussion on artificial intelligence concepts that are used to approximate complex dynamics systems, clone human reasoning under uncertain situations, and make a machine learn out of its own interactions with the physical world.

With the above background, the book goes on to introduce the key concepts in an emerging field called system of systems that tries to provide a scientific basis to bring heterogeneous, independent, and complex systems to a coordinated, stabilized, and optimized system.

It is argued that the emerging technology of system of systems can be further nourished by training engineers to integrate traditional systems control theory with soft computing techniques. This opens a window to model human heuristics to model complex systems. Wherever possible, the book provides MATLAB^® codes used to simulate results discussed in the book. A number of projects are given for the reader to obtain first-hand experience with the concepts.

By learning, testing, and simulatin some of the most important theories used in modern systems engineering, readers will discover emerging opportunities in a field that will revolutionize the way large organizations, factories, and manmade systems are managed.

Spis treści

Elements of a Classical Control System. System of Systems Simulation. Observer Design and Kalman Filtering. Fuzzy Systems—Sets, Logic, and Control. Neural Network-Based Control. Introduction to System of Systems. Control of System of Systems. Reward-Based Behavior Adaptation. An Automated System to Induce and Innovate Advanced Skills in a Group of Networked Machine Operators. A System of Intelligent Robots-TrainedAnimals-Humans in a Humanitarian Demining Application. Robotic Swarms for Mine Detection System of Systems Approach. Index.