2013, XXIV, 298 p. 95 illus., 4 illus. in color. With online files/update.
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Shows the reader how to overcome system limitations imposed by lack of computing power or structure intrinsic to a controller
Detailed examples are provided throughout, to aid readers in familiarizing themselves with the concepts presented
Use of standard controllers such as PID make methods easily transferable to commercial controllers in the real world
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.
Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Content Level »Research
Keywords »Constrained Control - Control Applications - Heuristic Kalman Algorithm - Low-order Control - Robust Control - Stochastic Optimization - Structured Control - Uncertain Systems