Structured Controllers for Uncertain Systems A Stochastic Optimization Approach /
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 te...
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| Format: | Electronic |
| Language: | English |
| Published: |
London :
Springer London : Imprint: Springer,
2013.
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| Series: | Advances in Industrial Control,
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| Subjects: | |
| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4471-5188-3 |
| Summary: | 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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| Physical Description: | XXIV, 298 p. 95 illus., 4 illus. in color. online resource. |
| ISBN: | 9781447151883 |
| ISSN: | 1430-9491 |