Biomimicry for Optimization, Control, and Automation - Info and Reading Options
By Kevin M. Passino

"Biomimicry for Optimization, Control, and Automation" is published by Springer in August 27, 2004, it has 926 pages and the language of the book is English.
“Biomimicry for Optimization, Control, and Automation” Metadata:
- Title: ➤ Biomimicry for Optimization, Control, and Automation
- Author: Kevin M. Passino
- Language: English
- Number of Pages: 926
- Publisher: Springer
- Publish Date: August 27, 2004
“Biomimicry for Optimization, Control, and Automation” Subjects and Themes:
- Subjects: ➤ Biomimicry - Mathematical optimization - Process control - Automation - Engineering - Computer simulation - Telecommunication - Control Engineering - Simulation and Modeling - Optimization - Automation and Robotics - Networks Communications Engineering
Edition Specifications:
- Format: Hardcover
- Weight: 3.8 pounds
- Dimensions: 9.4 x 7.1 x 1.9 inches
Edition Identifiers:
- The Open Library ID: OL8974422M - OL2658404W
- Online Computer Library Center (OCLC) ID: 54046620
- Library of Congress Control Number (LCCN): 2004041694
- ISBN-13: 9781852338046
- ISBN-10: 1852338040
- All ISBNs: 1852338040 - 9781852338046
AI-generated Review of “Biomimicry for Optimization, Control, and Automation”:
Snippets and Summary:
Automation has had, and will continue to have, a significant impact on society.
"Biomimicry for Optimization, Control, and Automation" Description:
The Open Library:
Biomimicry uses our scienti?c understanding of biological systems to exploit ideas from nature in order to construct some technology. In this book, we focus onhowtousebiomimicryof the functionaloperationofthe “hardwareandso- ware” of biological systems for the development of optimization algorithms and feedbackcontrolsystemsthatextendourcapabilitiestoimplementsophisticated levels of automation. The primary focus is not on the modeling, emulation, or analysis of some biological system. The focus is on using “bio-inspiration” to inject new ideas, techniques, and perspective into the engineering of complex automation systems. There are many biological processes that, at some level of abstraction, can berepresentedasoptimizationprocesses,manyofwhichhaveasa basicpurpose automatic control, decision making, or automation. For instance, at the level of everyday experience, we can view the actions of a human operator of some process (e. g. , the driver of a car) as being a series of the best choices he or she makes in trying to achieve some goal (staying on the road); emulation of this decision-making process amounts to modeling a type of biological optimization and decision-making process, and implementation of the resulting algorithm results in “human mimicry” for automation. There are clearer examples of - ological optimization processes that are used for control and automation when you consider nonhuman biological or behavioral processes, or the (internal) - ology of the human and not the resulting external behavioral characteristics (like driving a car). For instance, there are homeostasis processes where, for instance, temperature is regulated in the human body.
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