Structured Controllers for Uncertain Systems: A Stochastic Optimization Approach

di Rosario Toscano (Autore)

Springer London Ltd, 2015

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 8, H2, and mixed H2/H8 each merits a chapter to itself. Time-domain-performance specifications can be easily incorporated in the design.

• Autore: Rosario Toscano
• Editore: Springer London Ltd
• Collana: Advances in Industrial Control
• Anno: 2015
• Rilegatura: Paperback / softback
• Pagine: 298 p.
• Dimensioni: 235 x 155 mm
• EAN: 9781447159155

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