Structured Controllers for Uncertain Systems

Rosario Toscano, 2015
Delivered between Fri, 9.5. and Tue, 13.5.
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"Structured Controllers for Uncertain Systems" is a comprehensive guide that focuses on the development of user-friendly design strategies for robust, low-order, or fixed-structured controllers, particularly for the widely used PID controller in industry. The book introduces a novel stochastic optimization method known as the 'Heuristic Kalman Algorithm' (HKA). This method simplifies the design process and enables the solution of the structured control problem with minimal user-defined parameters. Furthermore, the work provides an overview of the key stochastic methods applicable in the context of continuous non-convex optimization problems. Various optimization criteria for the design of a structured controller are discussed, with each criterion, including H∞, H2, and mixed H2/H∞, receiving its own dedicated chapter. The integration of temporal performance requirements into the design is also made straightforward.

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