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Structured Controllers for Uncertain Systems - A Stochastic Optimization Approach (Paperback, 2013 ed.)
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Structured Controllers for Uncertain Systems - A Stochastic Optimization Approach (Paperback, 2013 ed.)
Series: Advances in Industrial Control
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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 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.
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