Biomimicry for Optimization, Control, and Automation

ISBN-10: 1852338040
ISBN-13: 9781852338046
Edition: 2005
Authors: Kevin M. Passino
List price: $119.00
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Description: There are many highly effective optimization, feedback control, and automation systems embedded in living organisms and nature. Evolution persistently seeks optimal robust designs for biological feedback control systems and decision making  More...

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Book details

List price: $119.00
Copyright year: 2005
Publisher: Springer
Publication date: 9/29/2004
Binding: Hardcover
Pages: 926
Size: 7.25" wide x 9.50" long x 2.00" tall
Weight: 3.784
Language: English

There are many highly effective optimization, feedback control, and automation systems embedded in living organisms and nature. Evolution persistently seeks optimal robust designs for biological feedback control systems and decision making processes. From this comprehensive text you will gain knowledge of how mimicry of such biological processes can be used to solve optimization, control, and automation problems encountered in the construction of high technology systems. Mathematical stability analysis is treated for a number of cases, from attentional systems to social foraging swarm cohesion properties. Bio-inspired optimization and control methods are compared to conventional techniques with an objective to provide a balanced viewpoint.- A companion web site, continually updated by the author, will provide you with further examples and design problems, solution hints, lecture slides, a running lab and ongoing self-study problems and resources.- Matlab code is provided to solve a number of key problems.- Focus lies on verifying correct operation of technologies via a process of mathematical modelling and analysis complimented by computer simulations.- Written from an engineering perspective, methods are applied to extensive real-world applications, from ship steering to cooperative control of a group of autonomous robots.Aimed primarily at graduate courses and research, much of the material has been successfully used for undergraduate courses. This dynamic textbook sends an injection of new ideas into engineering technology and the academic community.

Introduction
Challenges in Computer Control and Automation
Scientific Foundations for Biomimicry
For Further Study
Elements of Decision Making
Neural Network Substrates for Control Instincts
Rule-Based Control
Planning Systems
Attentional Systems
For Further Study
Learning
Learning and Control
Linear Least Squares Methods
Gradient Methods
Adaptive Control
For Further Study
Evolution
The Genetic Algorithm
Stochastic and Non-Gradient Optimization for Design
Evolution and Learning: Synergistic Effects
For Further Study
Foraging
Cooperative Foraging and Search
Competitive and Intelligent Foraging
For Further Study

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