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Iterative H2-conic controller synthesis
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DOI：10.1002/rnc.4581.png)
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Abstract
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This paper proposes a method to synthesize controllers that minimize an upper bound on the closed-loop H2-norm while imposing desired controller conic bounds. An initial conic controller is synthesized and iteratively improved. Conic sectors can be used to characterize a variety of input-output properties, such as gain, phase, and minimum gain. If such plant properties hold robustly to uncertainty present, then closed-loop stability can be ensured robustly via the Conic Sector Theorem by imposing desired controller conic bounds. Consequently, this paper provides a versatile optimal and robust controller synthesis method. Moreover, it relies only on the solution of convex optimization problems subject to linear matrix inequality constraints, making it readily implementable.
Keywords:
conic sectors
control system synthesis
nonlinear systems
optimal control
robust control
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