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 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.
Autor: | Toscano, Rosario |
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ISBN: | 9781447159155 |
Sprache: | Englisch |
Seitenzahl: | 298 |
Produktart: | Kartoniert / Broschiert |
Verlag: | Springer London |
Veröffentlicht: | 07.07.2015 |
Untertitel: | A Stochastic Optimization Approach |
Schlagworte: | Constrained Control Control Applications Heuristic Kalman Algorithm Low-order Control Robust Control Stochastic Optimization Structured Control Uncertain Systems |
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