Minimizing control volatility for nonlinear systems with smooth piecewise-quadratic input signals

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Minimizing control volatility for nonlinear systems with smooth piecewise-quadratic input signals

We consider a class of nonlinear optimal control problems in which the aim is to minimize control variation subject to an upper bound on the system cost. This idea of sacrificing some cost in exchange for less control volatility—thereby making the control signal easier and safer to implement—is expl...

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Bibliographic Details
Main Authors:	Loxton, Ryan, Lin, Qun, Padula, Fabrizio, Ntogramatzidis, Lorenzo
Format:	Journal Article
Language:	English
Published:	ELSEVIER 2020
Subjects:	Science & Technology Technology Automation & Control Systems Operations Research & Management Science Optimal control Total variation Nonlinear optimization Non-smooth optimization Smooth control CONTROL PARAMETERIZATION COST OPTIMIZATION CONVERGENCE
Online Access:	http://purl.org/au-research/grants/arc/FT170100120 http://hdl.handle.net/20.500.11937/89490

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