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130531s2013 xxk| s |||| 0|eng d |
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|a 9781447151883
|9 978-1-4471-5188-3
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|a 10.1007/978-1-4471-5188-3
|2 doi
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|a TJ212-225
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|a TJFM
|2 bicssc
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|a TEC004000
|2 bisacsh
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|a 629.8
|2 23
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|a Toscano, Rosario.
|e author.
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|a Structured Controllers for Uncertain Systems
|b A Stochastic Optimization Approach /
|c by Rosario Toscano.
|h [electronic resource] :
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|a London :
|b Springer London :
|b Imprint: Springer,
|c 2013.
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300 |
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|a XXIV, 298 p. 95 illus., 4 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Advances in Industrial Control,
|x 1430-9491
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|a Standard Stochastic Optimisation Methods -- Heuristic Kalman Algorithm -- Uncertain Linear Systems and Robustness -- H
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|a Structured Controllers for Uncertain Systems focuses on the development of easy-to-use design strategies for robust low-order or fixed-structure controllers (particularly the industrially ubiquitous PID controller). These strategies are based on a recently-developed stochastic optimization method termed the "Heuristic Kalman Algorithm" (HKA) the use of which results in a simplified methodology that enables the solution of the structured control problem without a profusion of user-defined parameters. An overview of the main stochastic methods employable in the context of continuous non-convex optimization problems is also provided and various optimization criteria for the design of a structured controller are considered; H
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|a Engineering.
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|a Systems theory.
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|a Mathematical optimization.
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|a Engineering.
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|a Control.
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|a Systems Theory, Control.
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650 |
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|a Calculus of Variations and Optimal Control; Optimization.
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710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9781447151876
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830 |
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|a Advances in Industrial Control,
|x 1430-9491
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|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4471-5188-3
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|a ZDB-2-ENG
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|a Engineering (Springer-11647)
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