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Auxiliary Signal Design for Failure Detection
Auxiliary Signal Design for Failure Detection
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A priori estimate
A01=Ramine Nikoukhah
A01=Stephen L. Campbell
Abuse of notation
Additive white Gaussian noise
Algorithm
Approximation
Asymptotic analysis
Author_Ramine Nikoukhah
Author_Stephen L. Campbell
Bisection method
Boundary value problem
Calculation
Catastrophic failure
Category=PBT
Category=TJFM
Computation
Condition number
Control theory
Control variable
Decision theory
Derivative
Detection
Deterministic system
Diagram (category theory)
Differential equation
Discretization
Dynamic programming
Engineering
Engineering design process
eq_bestseller
eq_isMigrated=1
eq_nobargain
eq_non-fiction
eq_tech-engineering
Equation
Error message
Estimation
Estimation theory
Gain scheduling
Initial condition
Integrator
Laplace transform
Least squares
Likelihood function
Likelihood-ratio test
Limit point
Linearization
Mathematical optimization
Mathematical problem
Maxima and minima
Measurement
Method of lines
Nonlinear control
Nonlinear programming
Observational error
Open problem
Optimal control
Optimization problem
Parameter
Partial differential equation
Piecewise
Pointwise
Prediction
Probability
Remedial action
Riccati equation
Sampling (signal processing)
Scilab
Shift operator
Special case
Stochastic
Stochastic calculus
Stochastic interpretation
Stochastic Modeling
Stochastic process
Time complexity
Trade-off
Transfer function
Transient response
Uncertainty
Product details
- ISBN 9780691099873
- Weight: 425g
- Dimensions: 152 x 235mm
- Publication Date: 15 Feb 2004
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Hardback
Many industries, such as transportation and manufacturing, use control systems to insure that parameters such as temperature or altitude behave in a desirable way over time. For example, pilots need assurance that the plane they are flying will maintain a particular heading. An integral part of control systems is a mechanism for failure detection to insure safety and reliability. This book offers an alternative failure detection approach that addresses two of the fundamental problems in the safe and efficient operation of modern control systems: failure detection--deciding when a failure has occurred--and model identification--deciding which kind of failure has occurred. Much of the work in both categories has been based on statistical methods and under the assumption that a given system was monitored passively. Campbell and Nikoukhah's book proposes an "active" multimodel approach. It calls for applying an auxiliary signal that will affect the output so that it can be used to easily determine if there has been a failure and what type of failure it is.
This auxiliary signal must be kept small, and often brief in duration, in order not to interfere with system performance and to ensure timely detection of the failure. The approach is robust and uses tools from robust control theory. Unlike some approaches, it is applicable to complex systems. The authors present the theory in a rigorous and intuitive manner and provide practical algorithms for implementation of the procedures.
Stephen L.Campbell is Professor of Mathematics at North Carolina State University. Ramine Nikoukhah is Senior Scientist (Directeur de Recherche) at Institut National de Recherche en Informatique et en Automatique (INRIA) in France.
Auxiliary Signal Design for Failure Detection
€87.99
