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Structured Controllers for Uncertain Systems: A Stochastic Optimization Approach
Hardcover
Series: Advances in Industrial Control
Technology & EngineeringCalculusGeneral Science
ISBN13: 9781447151876
Publisher: Springer Nature
Published: Jun 12 2013
Pages: 298
Weight: 1.72
Height: 0.90 Width: 6.10 Depth: 9.20
Language: English
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
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