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Optimal Observation for Cyber-physical Systems: A Fisher-information-matrix-based Approach 1st Edition. 2nd Printing. 2009 [Hardback]

  • Formāts: Hardback, 171 pages, height x width: 235x155 mm, weight: 494 g, XVIII, 171 p. With online files/update., 1 Hardback
  • Izdošanas datums: 07-Aug-2009
  • Izdevniecība: Springer London Ltd
  • ISBN-10: 1848826559
  • ISBN-13: 9781848826557
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  • Formāts: Hardback, 171 pages, height x width: 235x155 mm, weight: 494 g, XVIII, 171 p. With online files/update., 1 Hardback
  • Izdošanas datums: 07-Aug-2009
  • Izdevniecība: Springer London Ltd
  • ISBN-10: 1848826559
  • ISBN-13: 9781848826557
Citas grāmatas par šo tēmu:
"Optimal Observation for Cyber-physical Systems" addresses the challenge, fundamental to the design of wireless sensor networks (WSNs), presented by the obligatory trade-off between precise estimates and system constraints. A unified theoretical framework, based on the well-established theory of optimal experimental design and providing consistent solutions to problems hitherto requiring a variety of approaches, is put forward to solve a large class of optimal observation problems. The Fisher information matrix plays a key role in this framework and makes it feasible to provide analytical solutions to some complex and important questions which could not be answered in the past.Readers with an applied background in WSN implementation will find all the understanding of the key theory of optimal experimental design they need within this book. The use of multiple examples to illustrate the theoretical parts of the book brings the subject into sharper focus than would an abstract theoretical disquisition.

This book addresses the challenge, fundamental to the design of wireless sensor networks (WSNs), presented by the obligatory trade-off between precise estimates and system constraints. Multiple examples illustrate the theoretical parts of the book.

Recenzijas

From the reviews:

This book presents a Fisher information matrix approach to observation problems involving wireless sensor networks. The book is aimed at researchers and engineers interested in observation problems involving wireless networks. (IEEE Control Systems Magazine, Vol. 30, October, 2010)

Abbreviations and Notation xv
Introduction
1(26)
Motivation for the Book
1(4)
Challenges of Observation for Cyber-physical Systems
1(2)
Lessons Learned from Experience
3(2)
Summary of Contributions
5(1)
Organization
5(1)
A Short Overview of CPSs
6(8)
The Concepts
6(1)
What Is a Sensor Network?
7(1)
Introduction to WSNs
7(2)
Applications of WSNs
9(2)
Research on WSNs from Different Aspects
11(3)
Motivation and Application Scenarios
14(7)
Motivation and Scenarios for MAS-net
14(4)
Scenarios for Sensor Selection
18(2)
Scenario for WSN-Based Localization
20(1)
Mathematical Background
21(6)
Mobile Sensor Trajectory Optimization
27(18)
Motivation and the Application Scenario
27(1)
System Identification for DPSs
27(3)
Problem Formulation
30(6)
The Dynamic Model of Differentially Driven Robots
30(2)
The Model of the Diffusion Process
32(1)
The Objective Function for Sensor Motion Scheduling
33(2)
Problem Reformulation in the Optimal Control Framework
35(1)
Finding a Numerical Solution for the Problem
36(2)
A Brief Introduction to RIOTS
36(1)
Using MATLAB® PDE Toolbox Together with RIOTS
37(1)
Illustrative Simulations
38(5)
Differentially Driven and Omnidirectionally Driven
38(3)
Comparison of Robots with Different Capabilities
41(1)
On the Effect of the Initial Orientation
41(2)
Chapter Summary
43(2)
Sensor Selection Methods for Cyber-physical Systems
45(84)
The Motivation and the Problem
45(1)
Just-Enough Sensor Selection and the Solution
46(7)
Literature Review
46(5)
Overview of Our Strategy
51(2)
The Heuristic Sensor Selection Method
53(22)
Formulation of Heuristic Sensor Selection
53(8)
Pseudocode of the hCOSS Algorithm
61(2)
Analysis of the hCOSS Algorithm
63(12)
The Elimination-Based Sensor Selection Method
75(17)
Motivation
75(1)
An Intuitive Interpretation
76(1)
Problem Formulation
76(2)
Convex Elimination Algorithm
78(1)
Analysis of Convex Elimination Algorithm
79(5)
Examples
84(6)
Pseudocode of the eCOSS Algorithm
90(2)
Simulations
92(8)
Overview
92(4)
Case 1
96(1)
Case 2
96(2)
Case 3
98(1)
Case 4
99(1)
Case 5
99(1)
Hardware Experiments
100(14)
Discussion
114(13)
Remarks on the Speed and Memory Requirements
114(1)
Comments on Non-Gaussian Noise
115(1)
Relationships with Geometric Approaches
116(5)
Entropy-Based Method
121(1)
Discussion of Correlations of Sensor Data
122(3)
Comments on Networking
125(2)
Chapter Summary
127(2)
Design of Localization Systems for Wireless Sensor Networks
129(22)
The Motivation and the Research Problem
129(1)
Localization Hardware
129(3)
Received Signal Strength Indicator
129(1)
Angle of Arrival
130(1)
Acoustic TOF
130(1)
RF TOF Measurement
130(2)
The Proposed Phase-Based Localization Method
132(8)
Review of TDOA Localization Algorithms
132(2)
Problem Formulation
134(6)
Beacon Placement Optimization
140(10)
Application Scenarios
140(1)
Problem Formulation
141(2)
Solution and Simulation
143(7)
Chapter Summary
150(1)
Conclusions and Future Work
151(2)
Conclusions
151(1)
Future Work
152(1)
Implementations
153(6)
Simulation of Trajectory Optimization
153(4)
Sensor Selection Demonstration System
157(2)
References 159(10)
Index 169