ENGLISH

Structured Controllers for Uncertain Systems: A Stochastic Optimization Approach

By Rosario Toscano (auth.)

Book information

Publisher
Springer-Verlag London
Year
2013
ISBN
978-1-4471-5187-6, 978-1-4471-5188-3
DOI
10.1007/978-1-4471-5188-3
Language
english
Format
PDF
Filesize
3 MB (3162555 bytes)
Series
Advances in Industrial Control
Edition
1
Pages
298\315
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Control; Calculus of Variations and Optimal ControControl; Systems Theory

Description

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.

Similar books