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

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

Internet

http://purl.org/au-research/grants/arc/FT170100120
http://hdl.handle.net/20.500.11937/89490

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