An adaptive approach to cost reduction in nonlinear uncertain systems using Lyapunov design

A time-varying/dynamic compensation strategy for nonlinear uncertain systems is proposed, which adaptively selects one controller from a parametrized family of Lyapunov-based stabilizing controllers. The purpose of the adaptation is to choose the controller that reduces the value of a given cost fun...

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Hauptverfasser: Rawls, V.L., Freeman, R.A.
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description A time-varying/dynamic compensation strategy for nonlinear uncertain systems is proposed, which adaptively selects one controller from a parametrized family of Lyapunov-based stabilizing controllers. The purpose of the adaptation is to choose the controller that reduces the value of a given cost functional, but stability is guaranteed regardless of whether or not parameter errors prevent cost reduction. This method is potentially applicable to the control of slowly varying nonlinear systems, where it is possible to numerically solve optimal control problems online. The potential of this method is demonstrated in simulation.
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subjects Control systems
Cost function
Design methodology
Linear feedback control systems
Lyapunov method
Nonlinear control systems
Nonlinear systems
Optimal control
Time varying systems
Uncertain systems
title An adaptive approach to cost reduction in nonlinear uncertain systems using Lyapunov design
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