Structured Controllers for Uncertain Systems: A Stochastic Optimization Approach - Rosario Toscano
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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 ... Pilns apraksts
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Aprašymas
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¿, H2, and mixed H2/H¿ each merits a chapter to itself. Time-domain-performance specifications can be easily incorporated in the design.
Vairāk informācijas
| Autors | Rosario Toscano |
|---|---|
| Izdevējs | Springer London |
| Series | Advances in Industrial Control |
| Izlaides gads | 2015 |
| Vāka tips | Mīkstais vāks |
| EAN | 9781447159155 |